AI SEO isn’t the next big thing; it’s already here, quietly redefining how people discover content and how brands stay visible. As AI-powered platforms like ChatGPT, Perplexity, and Google’s AI Overviews reshape the search landscape, traditional SEO tactics alone won’t cut it. The good news? AI SEO tools are making it easier to adapt.

From smarter keyword research to real-time visibility tracking to content tailored for LLMs, these tools help modern marketers stay ahead of constant algorithm shifts and meet users where they’re actually searching.

With dozens of platforms on the market, knowing which tools are worth your time (and how to actually use them to drive growth) is essential. This guide breaks down the top AI SEO tools available today and shows how our proprietary platform, Goodie, helps brands get found across every major AI search experience.

Top AI SEO Tools: Overview

1. Goodie

Goodie is purpose-built for the AI era of SEO and AI search. The time for agentic web and multimodal search has already arrived, and if you’re not investing in an AI search strategy, you’re already falling behind. Search has expanded to social platforms and, more critically, answer engines like ChatGPT and Perplexity. Goodie is an end to end answer engine optimization (AEO) platform that helps you ensure your brand has visibility on this new frontier of search.

Goodie exceeds the basic content writing expectations that other tools offer. The platform provides insights into how your brand is performing on some of the most popular LLMs currently on the market, including ChatGPT, Claude, Gemini, Perplexity, DeepSeek, and Google’s AI Overview. The AI Visibility function reports on metrics across each model and your visibility over time, assesses sentiment performance, and evaluates your brand’s performance against your competitors based on key industry criteria.

Additionally, you get access to a report of recommendations outlining specific actions to take on your website to improve your “influence” on AI-generated results. This includes functions that allow you to improve your Technical AEO performance with callouts to add or tweak schema, create an LLMs.txt file, and more. On top of that, you get access to the leading Agentic Commerce Optimizer, which allows you to see where your products stand, how to fix what’s blocking visibility, and prove revenue impact across AI shopping agents.

Pricing

Goodie’s monthly plans start at $495. You can Contact their sales team for a personalized or enterprise plans.

Key Features & Differentiators

• AI Content Creation: Craft high-performing, SEO-focused content that reflects your brand’s authentic tone, purpose-built for visibility across AI search platforms.
• Customizable, Insight-Rich Dashboards: Track the metrics that matter most with intuitive dashboards that highlight your brand’s visibility and performance across AI search tools, all in one view.
• Holistic Competitive Intelligence: Access in-depth reports covering AI visibility, sentiment analysis, and competitor performance, helping you understand how your brand stacks up globally.
• Cross-Platform LLM Tracking: Goodie pulls performance insights from today’s leading LLMs (including ChatGPT, Claude, Gemini, Perplexity, and Google’s AI Overviews) so you’re never optimizing in a vacuum.
• Instant SEO & AEO Wins: Get a tailored action plan with quick, effective steps your team can take to improve your AI search visibility today.

Pros of Using Goodie

• AI-First by Design: Built specifically for visibility in AI search, not retrofitted for AEO like some traditional SEO tools.
• Marketing-Driven Insights: Focuses on what matters (brand reach, competitor movement, share of voice) without the noise.
• Platform-Specific Data: Uncovers how your brand shows up across ChatGPT, Gemini, Perplexity, and more.
• Clear, Actionable Steps: Delivers prioritized next moves, not data overload.
• Brand Narrative Control: Tracks and shapes how your brand is represented across LLMs.
• Always Up to Date: Evolves with the AI search landscape so your strategy stays ahead.
• Built by Experts: Created by NoGood; a growth team that lives and breathes digital marketing, AEO, and SEO.

Downsides of Goodie

• Some Features Still in Beta: While the platform is fully functional, tools like the Outreach Agent, Shopping Visibility, and Topic Explorer are still being refined (but they’re coming soon).
• Geared Toward Forward-Looking Teams: Goodie is built for brands investing in the future of search. If you’re focused strictly on traditional SEO metrics, it may feel ahead of where you are.

2. HubSpot AEO Grader

HubSpot’s AI Search Grader is a free tool that helps you evaluate your brand’s presence across AI search platforms like ChatGPT and Perplexity. It’s ideal for quickly understanding how AI assistants perceive and present your brand (and how that compares to your competitors).

The tool performs a share of voice analysis, showing how often your brand is mentioned in AI-generated responses versus key competitors. It also highlights the most commonly surfaced information, positive or negative, and identifies which keywords AI tools most associate with your brand.

Pricing

HubSpot AI Search Grader is completely free to use.

Key Features & Differentiators

• Generates highly visual brand visibility and sentiment reports in just a few minutes.
• Visual reports showing brand visibility and sentiment across ChatGPT and Perplexity.
• Identifies frequently displayed brand information, including tone (positive or negative).
• Highlights key keywords used in AI mentions for both you and competitors.
• Toggle between ChatGPT and Perplexity reports for side-by-side comparison.

Pros

• No account setup required
• Instant report generation
• Very beginner-friendly

Cons

• Currently limited to ChatGPT, Perplexity, and Gemini
• No optimization tools, reporting only

3. Jasper

Jasper is a powerful AI content generation platform built for teams creating content across SEO, social media, email, campaigns, and more. While it’s not SEO-first, it offers tools like SEO Mode, dynamic templates, and integrations that make it a flexible choice for marketers looking to scale high-quality content production.

With support for the latest AI models and a secure workspace, Jasper allows users to input brand guidelines and product knowledge to generate on-brand, optimized content. Jasper also integrates with tools like SurferSEO and Copyscape for plagiarism detection and rankability analysis.

Pricing

• Pro Tier: $59 a month per seat (when paid yearly in advance)
• Business Tier: Contact Jasper’s sales team for a customized pricing offer

Key Features & Differentiators

• SEO Mode for keyword-focused content
• Dynamic content templates
• Jasper Chat for schema markup and FAQ generation
• Integrations with Webflow, Zapier, Google Sheets, and more
• SurferSEO and Copyscape add-ons for deeper SEO insights
• Trusted by over 100,000 companies

Pros

• Easy-to-use interface
• Supports content across multiple channels
• Produces well-structured, on-brand copy
• Fast output for scalable workflows

Cons

• SEO features are add-ons (not built-in)
• Overly technical topics may lack depth
• Plagiarism tools cost extra
• Content creation must be heavily audited

4. Frase

Frase is an AI-powered SEO writing platform built to streamline content creation through research, outlining, and optimization. Its main value? Speeding up SERP research by summarizing top results so you can generate well-informed, search-ready content faster.

Whether you’re building a brief, writing from scratch, or optimizing existing content, Frase supports your workflow with templates, collaboration tools, and keyword comparison features. It’s especially useful for writers and marketers looking to produce SEO content at scale without sacrificing depth.

Pricing

• Professional: $98 monthly (when paid on an annual basis)
• Scale: $195 monthly (when paid on an annual basis)
• Advanced: $297 monthly (when paid on an annual basis)

Key Features & Differentiators

• SERP-inspired content generation
• Content briefs powered by AI and real search results
• Keyword comparison with top competitors
• Templates, SOPs, and grammar tools
• Built-in collaboration and project tracking

Pros

• Great for beginners and non-technical teams
• Saves time on research and outlining
• Naturally generates optimized drafts
• Idea generation via concept maps

Cons

• Content accuracy needs review
• Add-ons can drive up monthly costs
• Occasional bugs or interface hiccups

5. Semrush AI Visibility Toolkit

Semrush is a powerhouse platform that covers all things SEO, content marketing, competitive research, paid advertising, and social media—all in one place. With a suite of over 50 tools and trusted by more than 1 million marketers worldwide, Semrush is built for teams that want to scale SEO & AEO visibility across every channel.

Its AI Visibility tool shows how brands appear in AI-generated answers across multiple LLMs. The tool is advantageous for those who would like to monitor how their site is doing in comparison to competitors on AI powered sources.

The tool is built with SMBs, agencies, and mid-market companies in mind. It seeks to provide practical, scalable insights to strengthen presence in AI-driven search.

Pricing

• Starter: $165.17 monthly (when paid on an annual basis)
• Pro+: $248.17 monthly (when paid on an annual basis)
• Advanced: $455.67 monthly (when paid on an annual basis, custom plans also available)

Pricing is for Semrush plans that include the entire tool suite. Keep in mind that AI Visibility and AEO tools come at an additional cost.

Key Features & Differentiators

• 1 domain for Brand Performance analysis
• 300 daily queries in AI Analysis reports
• 25 prompts for Prompt Tracking
• AI Search Checks in Site Audit for up to 100 pages

Pros

• Massive keyword and backlink datasets
• Visibility score
• Historical keyword context availability
• Key insights provided for Google’s AI Overviews, ChatGPT, Google Gemini

Cons

• Premium Pricing: Premium plans can be pricey for smaller teams.
• Lack of Optimization Instruction: Semrush only offers data about terms and queries. It does not help instruct changes to fix the gaps in campaign approach.
• Limited AI Models: SEMrush currently only offers the ability to see brand impact on 3 AI models, leaving gaps of knowledge for more than 10 LLMs

6. SEOwind

SEOwind is a specialized AI platform designed for SEO professionals and content teams that want to create long-form, search-optimized content efficiently. It combines automated research, outline generation, and AI writing to streamline every step of the content development process.

Key tools include the Content Brief Generator, Article Writer, and Internal Links Plugin, all of which help ensure SEO best practices while aligning with brand voice and structure. SEOwind is ideal for marketers who want a fast, scalable way to create content that’s designed to rank (without sacrificing quality).

Pricing

• Basic Tier: $49 monthly (when paid on an annual basis)
• Pro Tier: $59 monthly (when paid on an annual basis, limited-time offer)
• Agency Tier: $299 monthly (when paid on an annual basis)

Key Features & Differentiators

• AI-generated, in-depth research and outlines
• Long-form AI writing with tailored inputs
• Internal linking automation
• Content structured for SERP performance
• Optimized for tone, keyword relevance, and UX

Pros

• Produces detailed, SEO-ready articles quickly
• Supports tone and brand alignment
• Streamlines content structure and topic coverage

Cons

• UI can feel cluttered or unintuitive
• Brief generation and AI output may lag

7. Speedybrand

Speedybrand is a robust, all‑in‑one AI SEO and content engine designed to help you generate blogs, ads, social posts, and visuals, all optimized for search and engagement. Ideal for small-to-mid businesses, teams, and agencies, it offers unlimited brand profiles under one subscription and discounts (up to 50%) for additional brands.

Pricing

• Basic: $69 monthly (savings of 30% available when paid on an annual basis)
• Professional: $299 monthly (savings of 30% available when paid on an annual basis)

Key Features & Differentiators

• Topic discovery and trend insights tailored to your audience
• Competitor analysis and backlink recommendations
• AI‑generated content: blogs, ads, social posts in 49 languages
• AI image creation and plagiarism check
• Integrated one-click publishing to WordPress, Shopify, Webflow, and Zapier
• SEO analytics, internal linking automation, and Google Ads copy support
• Unlimited brand profiles with discounts for multi-account use

Pros

• All-in-one tool: content, visuals, SEO, analytics
• Easy to onboard and use; praised for intuitive UI and strong customer support
• Supports multiple languages and platforms
• Transparent pricing and scalable to multiple brands

Cons

• Outputs still need editing and fact-checking, especially for niche topics
• Interface can feel crowded
• Brief generation sometimes lags
• Less suitable for ultra-technical or enterprise-grade SEO needs

8. Surfer SEO

Surfer is an SEO platform designed to streamline the entire content workflow, from research and planning, to writing, optimizing, and refreshing. It’s built for teams looking to create high-performing content quickly, with tools that support both manual writing and fully AI-generated content.

Its Content Score provides real-time optimization feedback, while Surfer AI automates content creation from research to publication. The tool also includes Surfy, an AI assistant that can rephrase, edit, and polish your content as you go.

Pricing

• Essential: $79 monthly (when paid on an annual basis)
• Scale: $175 monthly (when paid on an annual basis)
• Enterprise: Custom pricing (starting at $999)

Key Features & Differentiators

• Full SEO content workflow (research → publish → refresh)
• End-to-end content generation
• Content Score for on-page optimization feedback
• Built-in content editor with multilingual support
• AI tools for outlines, rewriting, and “humanizing” content
• Keyword Surfer Chrome Extension
• Trusted by over 150,000 SEOs, marketers, and content teams

Pros

• Multilingual support
• Streamlined, AI-assisted content creation
• On-page SEO optimization tools
• Automatic internal linking
• Humanizer tool to improve AI content

Cons

• AI writer can produce irrelevant suggestions
• Core plans are pricey and have usage caps
• Surfer AI requires additional payment on top of base plans

9. Scalenut

Scalenut is an AI-powered content co‑pilot that manages the entire SEO content lifecycle, from planning and research, to writing, optimization, and analysis. Trusted by over 1 million users, it streamlines content creation with tools like Cruise Mode (long‑form AI drafts), Content Optimizer, keyword planning, internal linking, and performance tracking.

Pricing

• Essential: $588 yearly
• Growth: $1,236 yearly
• Pro: $2,316 yearly

Key Features & Differentiators

• Cruise Mode: generate ready-to-rank blog drafts in ~5 minutes
• Keyword Planner, Topic Clusters, and competitor SERP research
• Real-time Content Optimizer with NLP suggestions and on‑page fixes
• Traffic Analyzer for live SERP and keyword performance reporting
• Automated internal linking and link manager add-on
• Tone-of-voice personalization and AI Humanizer to avoid robotic copy
• Plagiarism checker and factual content backed by SERP insights

Pros

• Intuitive, all-in-one content toolset; writing, optimizing, publishing
• Excellent support and onboarding, even at lower tiers
• Real-time SEO scoring with actionable fix-it guidance
• Free plan for light users or trial purposes

Cons

• No free trial on Growth or Pro, only Free Forever tier
• Content still needs review and occasional extra keyword research
• UI can feel feature-dense
• Brief generation can take time under a heavy load

10. Outranking

Outranking is an AI-powered SEO writing and optimization platform designed for creating people-first content that ranks predictably. It supports drafting, optimizing, and structuring SEO briefs and content across blogs, landing pages, product pages, and more. Powered by GPT‑4 and detailed SERP analysis, it streamlines the full content journey, from outlines to on‑page optimization and internal linking.

Pricing

No free trial, but offers a money-back guarantee and a 7‑day refund window on monthly plans:

• Starter: $19 monthly (savings of 25% available for annual plan holders)
• SEO Writer: $79 monthly (savings of 25% available for annual plan holders)
• SEO Wizard: $159 monthly (savings of 25% available for annual plan holders)
• Custom: Custom plan pricing available for larger scale needs

Key Features & Differentiators

• Real‑time SEO Content Checker with suggestion-driven improvements
• Automated SEO Briefs: tastefully formatted titles, outlines, descriptions
• Keyword clustering & prioritization based on live SERP data
• GPT‑4-powered AI writing assistant with brand tuning
• Auto internal linking and NLP-driven content enhancements
• Plagiarism & originality tools to maintain unique content
• Integrations include WordPress, Google Docs, and Search Console

Pros

• Beginner-friendly interface guides you through SEO workflows
• Delivers high-quality long-form drafts optimized for searches
• Solid SEO toolbox, from keyword research to internal linking
• Backed by SERP analysis, NLP, and GPT‑4, geared toward ranking success

Cons

• Pricing can feel steep for small teams or infrequent users
• Feature-rich UI can be overwhelming initially
• Content credits (“docs”) may run out quickly for high-volume usage
• SERP data isn’t live; there’s a slight delay in analysis

11. AlliAI

AlliAI is an AI-powered SEO automation platform that enables no-code optimization across any CMS. After installing an encrypted site snippet, you can bulk edit titles, metadata, schema, internal links, and more, all from a single dashboard. It’s designed to help agencies and enterprises deploy SEO changes in minutes, at scale.

Pricing

Free 10-day trial available. Pricing tiers after free trial are:

• Business: $249 monthly (savings of up to 17% available when billed annually)
• Agency: $499 monthly (savings of up to 17% available when billed annually)
• Enterprise: Custom pricing for enterprise plans is available

Key Features & Differentiators

• 15-minute install via encrypted JavaScript snippet; works on any CMS
• Bulk automate code and content changes: titles, meta, schema, internal links, and more
• Real-time deploy and preview with live editor and A/B testing support
• Real-time verification “highlight” tool shows live updates on the site
• Automatically adapts to algorithm changes; no developer required
• AI-driven internal linking, site speed optimization, schema generation, and backlink suggestions

Pros

• No coding needed: powerful automation at scale
• Beginner-friendly UI with step-by-step instructions
• Fast deployment: SEO changes go live in seconds
• Excellent support and onboarding, even for small teams

Cons

• Analysis and report speed can lag, especially on large sites
• No export of tasks or data; other tools may be needed for reporting
• It can feel overkill for very small sites
• Pricing may be steep for freelancers or solo practitioners

12. AIOSEO

AIOSEO streamlines on-page SEO for WordPress users (from beginners to advanced users) offering setup in 10 minutes and actionable optimization via the TruSEO Score. It adds power with schema, sitemaps, local SEO, link assistance, WooCommerce support, and analytics aggregation with Search Console and AMP.

Powered by over 3 million active installs, AIOSEO is a trusted staple in the WP SEO space.

Pricing

• Basic: $99 per year (1 site)
• Plus: $199 per year (3 sites)
• Pro: $399 per year (10 sites)
• Elite: $599 per year (100 sites)

There is currently a promotion running for 50% off of your first year. Additionally, all plans include a 14-day money-back guarantee.

Key Features & Differentiators

• TruSEO Score: Instant on-page grading with actionable recommendations
• Schema & Rich Snippets: Visual builder supports 20+ schema types
• XML Sitemaps: Smart sitemaps including video and news formats
• Link Assistant: Internal linking suggestions and bulk editing
• Local SEO & WooCommerce: Optimize for local businesses and store pages
• Social Media Integration: Open Graph, Twitter Cards, AMP & GSC support
• SEO Audit & Redirection Manager: Health check tools and 301 redirect handling
• AI Writing Assistant (via SEOBoost add-on), Keyword Rank Tracker, email reports, and query‑arg monitoring

Pros

• Extremely beginner-friendly; the setup wizard makes it accessible to non-experts
• Offers deep on-page tools and integrations (WooCommerce, AMP, etc.)
• Strong support and frequent updates, with up to 2-4 monthly releases
• Paid plans are competitively priced compared to peers

Cons

• Page speed load times are slower
• Higher memory use than tools like Yoast or Rank Math
• Pricing tiers can feel confusing, and key features may require higher plans
• Plugin UI can be overwhelming due to feature density
• No built-in rank tracking, additional tools needed

13. SE Ranking

SE Ranking is a mature, full-stack SEO platform that combines traditional features (like keyword research, rank tracking, site audits, backlink monitoring, and competitor analysis) with a growing suite of AI-powered tools, including content generation and an AI Overviews Tracker that monitors your brand’s visibility in AI-generated search summaries.

Pricing

All plans offer a free trial (7-14 days) and include optional add-ons for content editing, local marketing, agency reporting, and more.

• Essential: $52 per month (when paid on an annual basis)
• Pro: $95.20 per month (when paid on an annual basis
• Business: $207.20 per month (when paid on an annual basis

Key Features & Differentiators

• AI Content Writer: Auto-generate optimized topic ideas, outlines, and drafts
• AI Overviews Tracker: Monitor how often AI tools (ChatGPT, Google Overviews, Gemini) mention your brand or link back to your site
• SERP-Based SEO Suggestions with real-time scoring and optimization tips
• Comprehensive research tools: Keyword grouping, backlink tracking, competitor benchmarking, share-of-voice metrics
• Site Audit & Rank Tracking: Daily updates, audit for up to millions of pages
• Collaboration & Reporting: White-label PDFs, Looker Studio integration, API for enterprise workflows

Pros

• Full-stack SEO toolkit with seamless integration across modules
• AI-focused metrics make it ideal for a modern SEO strategy
• Scalable for both solo users and agencies
• Excellent usability, balancing power and user-friendliness

Cons

• UI can feel dense with features
• AI tools are helpful, but not as sophisticated as niche AI-focused platforms
• Customer support reviews are mixed, some report slow responses

14. NeuronWriter

NeuronWriter is a refined, intent-focused SEO writing tool that combines natural language processing with SERP and competitor analysis. It helps you build content aligned with search intent by providing optimized language, outlines, and scores based on top-ranking pages.

Pricing

The Gold Tier offers a 7-day free trial. Pricing for the remainder of the plans is as follows:

• Bronze: $19 monthly (when billed annually)
• Silver: $37 monthly (when billed annually)
• Gold: $57 monthly (when billed annually)
• Platinum: $77 monthly (when billed annually)
• Diamond: $97 monthly (when billed annually)

Key Features & Differentiators

• Natural-language term suggestions from top-ranking content
• AI-generated outlines and drafts
• Content optimization scoring with actionable improvements
• Topic and idea generation tools
• Competitor insights
• Content planning, management, and publishing workflows
• Integrations with WordPress, Google Search Console, and the ability to use your own OpenAI or Anthropic API key

Pros

• Easy, intuitive workflow for content creation
• Optimized for search intent and SERP relevance
• Clean user interface and fast onboarding

Cons

• Core keyword research must be done outside the tool
• AI credit limits may restrict high-volume usage

15. INK

INK is a comprehensive AI content platform built to scale writing and SEO. It offers a robust AI Writer, advanced keyword research and clustering, AI image generation, and a proprietary AI Content Shield to help your content avoid AI detection. An integrated SEO suite provides a numeric score with real-time tips for improvements.

Pricing

Includes a free 5-day trial, plus 10K free words; no credit card required.

• Professional: $39 monthly (when billed annually)
• Enterprise: $99 monthly (when billed annually)

Key Features & Differentiators

• AI Writer: headlines, outlines, and full drafts
• AI Keyword Research & Clustering tools
• AI Image Generator (text-to-image)
• AI Marketing Assistant with 130+ skill templates
• AI Content Shield: detects AI-style writing & checks plagiarism
• Real-time SEO Suite with semantic scoring

Pros

• Full-featured suite: content, SEO, visuals, and analytics
• Strong community, training resources, and helpdesk support
• Easy to use, even for beginners

Cons

• Occasional factual errors, manual review needed

Maximize Your Visibility in a New Era of Search

AI isn’t just changing how we do SEO; it’s changing what SEO is. From algorithmic rankings to AI Overviews and LLM-generated answers, visibility today demands a smarter, faster, and more adaptive strategy.

Whether you’re optimizing content with real-time insights, tracking brand mentions across platforms like ChatGPT and Perplexity, or using AI to scale workflows across teams, the right tools give you an edge where it counts. They don’t replace your strategy; they supercharge it.

Explore, test, and integrate the platforms that align with your goals. Because in an AI-driven search landscape, the brands that adapt first don’t just stay ahead; they own the conversation.

Best AI SEO Tools: Frequently Asked Questions

The post 15 Best AI SEO Tools in 2026 (Free & Paid) appeared first on NoGood™: Growth Marketing Agency.

But what exactly is Domain Authority? Domain Authority is a proprietary metric developed by Moz that rates a website out of 100, assessing the likelihood that your website ranks on the SERP. In short, the higher the likelihood that you’ll rank, the higher your score will be.

Moz calculates a website’s domain authority using a “machine learning algorithm” that prioritizes backlinks. Specifically, Moz takes into account “the number of linking root domains, the quality of those links, and other signals that correlate with rankings across thousands of search results.”

Domain Authority isn’t a direct Google ranking factor, although Google has hinted that they use a DA-like metric. That doesn’t mean Domain Authority isn’t important; Ahrefs found that Domain Rating (the Ahrefs version of DA) is positively correlated with keyword rankings. 

This could possibly be attributed to the fact that people are naturally attracted to websites with a higher domain ranking (and user engagement signals do influence rankings), as people may perceive sites with a higher domain authority to be more trustworthy.

We’re also going to argue that Domain Authority (indirectly) has an impact on AI visibility. If you have a high DA, the implication is that many authoritative sources are linking to you, and research has found credibility and trustworthiness is the third most important factor for generative AI answers. 

So, with all this talk about DA and how it impacts your SEO (and AEO), we’re gonna outline some strategies you can use to increase it. But before we do that, let’s talk about DA in the context of AI.

Understanding Domain Authority in the Age of AI

Let’s clear things up; when we discuss how DA is calculated with “the number of linking root domains,” it means that for every time a website like washingtonpost.com uses one of your links in an article, it’s only counted once. However, the number of times that they link to your website still matters. After all, do you think Google’s algorithm would prefer to rank a site that has 50 washingtonpost.com backlinks, or just one? 

The thing is, that’s how Moz calculates DA. As mentioned, Ahrefs has its own version, Domain Rating (DR), and Semrush has Authority Score (AS). DR is described by Ahrefs as a “less granular” version of DA that measures a website’s backlink profile, and is calculated like so:

Ahrefs also mentions that DR isn’t just about how many high DR sites link to yours, but how many sites that these high DR sites link to.

Semrush’s AS also differs, because it not only takes into account link power (the quality and quantity of backlinks), but your monthly organic traffic and spam indicators, which include having no organic rankings on the SERP, a high % of dofollow domains, and more. 

Is a High DR Better Than a High DA?

As you can see, each proprietary score offers something different; so a high DR isn’t necessarily better (or worse) than a high DA. It just depends on what you’re looking for. All tools point to having a strong backlink profile, but as a rule of thumb, it’s better that you focus on monitoring one consistently and comparing it against competitors.

By analyzing your DA, you get a top-level overview of your backlink profile and performance, while DR tells you more about the strength of your site’s backlink profile. AS, on the other hand, is a more comprehensive look at your SEO performance. All of these scores are great for identifying opportunities for link building so that you can create a targeted strategy to build authority.

Domain Authority & AI Search (AEO)

H-E-E-A-T (Helpfulness, Experience, Expertise, Authoritativeness, and Trustworthiness) isn’t only an important factor in SEO; it plays a role in Answer Engine Optimization (AEO), too, as LLMs favor content that’s credible and trustworthy. In fact, that’s the third most important visibility factor across LLMs.

Why does this matter for AEO, though? It’s simple: a high DA is a signal to AI models that your content is authoritative and trustworthy, making them more inclined to surface or cite your brand in its answers.

Let’s look at it this way: would you use a site with a low DA for research, or link to it on your website? Probably not, because like it or not, DA is a reflection of trust and credibility. So if you wouldn’t use these sites, AI won’t use them to synthesize an answer, either.

The thing to keep in mind is that, while these scores all take the quantity of backlinks into account, it shouldn’t be at the expense of quality, especially now. Too many backlinks that are irrelevant to your site or business have the potential to hurt your visibility in AI, because LLMs take content relevancy into account, including backlinks.

Essentially, while DA, DR, and AS aren’t a direct factor that influences how you rank in AI, having a strong backlink profile with high-quality, non-spammy links is a signal to AI that your website is one that it can cite or use to generate an answer that people can trust.

What Is a “Good” Domain Authority Score?

The general benchmark for DA scores is the following:

• 0-20 is low
• 30-40 is average
• 50-60 is good
• 60+ makes you a highly authoritative website

What you have to remember, though, is that what makes a “good” DA score is truly dependent on the niche or industry you’re in, which is determined by checking how your competitors score. You can use MozBar, a Chrome extension, to easily check your competitors’ DA. 

How do you know what a low or high score is for your industry? We’ll give you some examples. If you’re an eCommerce website, you’re gonna need a score of 50 or above to make sure you’re ranking against large retailers. On the other hand, if you’re a small gardening business, you can probably get away with a DA of 20-40, since you’re likely not battling against massive competitors with high DAs and comprehensive SEO efforts.

6 Actionable Tactics to Increase Your Domain Authority

Now that we’ve discussed what makes DA important, we’re going to outline some strategies you can follow to make sure you have a high DA. Remember, even if it’s not a direct ranking factor, Google (and AI) is more inclined to rank sites that are trustworthy, and a strong backlink profile indicates that.

1. Prioritize Your Backlink Profile

We just said it, but we’ll say it again: a strong backlink profile is a trust signal and the driving factor behind DA and other proprietary scores. Here’s how to build one:

Focus on High-Quality Links

Don’t try to get your website linked to just about every website on the internet. Make sure you’re choosing websites that are related to your niche and also carry a high DA. It’s better to have fewer links that are higher quality, rather than a million low-quality links.

Create “Link-Worthy” Content

Creating original data, research, and definitive guides that nobody has done before, or goes further than what others have already done, is a great way to gain links from high DA sites. It’s also a win-win strategy; creating high-quality content is great for your brand image and serving users’ needs, while also attracting backlinks.

Guest Posting

While it’s less popular than before, it’s still worth it to guest post on relevant sites in your niche that have a high DA. By doing this, you can link to your website while also building your own authority as an author, which has positive implications for your site as well.

Broken Link Building

This one takes some time and effort, but could have some benefits if you’re willing to put in the work. Essentially, with this strategy, you look for websites in your niche that have broken links and tell the webmaster that they can replace that link with yours instead. Also, you can take the opportunity to see where your brand is being mentioned without a link, and suggest that a link to your site be added.

Backlink Audit & Cleanup

You should audit your backlink profile at least once every quarter by using an SEO tool that tracks your backlinks and can also detect those that are spammy, toxic, or irrelevant. From there, you can use Google’s Disavow tool within GSC to tell Google not to disassociate them from your site. It’s worth mentioning, though, that if you don’t do this properly, it could actually hurt your site performance. So, make sure that any links that your tool identifies as spammy are actually spammy by investigating them yourself before telling GSC to disavow them.

2. Create & Optimize High-Quality Content (H-E-E-A-T)

As we mentioned, H-E-E-A-T, particularly that last A-T, are strong ranking signals that build your DA, and that tell both Google and AI that your content is worth ranking or mentioning. If you’re performing SEO and AEO, you should be creating H-E-E-A-T already, but here are some ways to take it further.

• Build Topical Authority: Develop content clusters around related topics to your niche. You can research topics by typing in keywords that your customers may look up and seeing what shows up in the “People Also Ask” box. The key is to make sure that you’re writing content that your audience actually finds helpful and answers questions they’re actually asking, which strengthens your authority. 
• Write In-Depth & Comprehensive Content: AI specifically prefers citing and mentioning content that goes in-depth, rather than content that simply skims the surface of a topic. Additionally, content that adds a new perspective or unique take to a topic is better for users and also has a higher likelihood of ranking or being mentioned. 
• Refresh Old Content: You should regularly update existing pages with new stats, insights, and best practices. Fresh content attracts users, which can improve rankings.

3. Build Brand Recognition & Social Signals

While this is adjacent to link building, it focuses more on gaining brand mentions rather than gaining links. Making sure your brand is visible where relevant is a gateway to earning that link, from the source that mentions you or others.

Digital PR

To gain mentions, you should launch a strategic PR campaign that targets websites relevant to your niche. For help with that, you can look at the list of top cited domains in LLMs that Goodie compiled. They also compiled industry-specific ones, for Beauty, SaaS, and Consumer Finance.

Social Promotion

Mentions on social media don’t directly impact DA, but they do increase visibility, which could lead to more link opportunities. Essentially, just the fact that people are talking about your brand can lead to backlinks, but that means a sustained effort to get people talking about your brand on social media.

Not to mention, social and search are converging like they never have before: between social media as a search engine and social platforms being crawled and indexed by Google, you’ll be worse off by not incorporating social media into your search strategy. 

4. Optimize Your Internal Linking Structure

While backlinks build DA, an intelligent internal linking structure determines how that “link juice” gets distributed across your site. Link juice refers to the authority or value passed from one webpage to another through a link, which can be passed to your most important pages.

To execute this, you can use the pillar-cluster model, which is a “hub-and-spoke” internal linking structure that contains multiple pillar pages that are an authority on one topic, and link out to individual pages covering subtopics within the broader topic.

Something else you can do when you’re creating this internal linking structure is to make sure that you have descriptive anchor text. This doesn’t mean throwing a link on something that says “click here,” but instead, linking descriptive text that summarizes what the page is about.

5. Master Technical SEO & Site Performance

A strong site performance and great technical SEO and AEO can improve your DA by increasing your site’s quality and trustworthiness, making it more likely to rank and naturally attract backlinks. Moz also notes that “a slow, outdated, or unsecured website can negatively affect your Domain Authority.” To prevent that, here are some things you can do to make sure your site is technically sound. 

Core Web Vitals

PageSpeed Insights, a tool from Google, measures things like Largest Contentful Paint (LCP), First Input Delay, and Cumulative Layout Shift. These all take into account your page and content loading speeds, and if they’re too slow, the tool will give you specific tasks you can execute to optimize your loading time.

Mobile-Friendliness

Making sure your website is mobile-friendly is another key component to maintaining a technically sound website. This is because Google operates on a mobile-first indexing system, meaning the mobile version of your site is the main version used for indexing, crawling, and ranking. So if your mobile experience is poor, your entire site’s perceived quality and ability to rank (AKA, your DA) will suffer.

Security

A secure website is one that has an SSL certificate, which is when your website starts with HTTPS (not HTTP). Ensure that you have an SSL certificate implemented, because if you don’t, it could deter people from using your site. 

Site Crawlability

Optimizing your site crawlability means that you’re not wasting crawl budget on unnecessary pages. First, you should create an XML sitemap, which lists all the important URLs on your website that you want search engines like Google to crawl and index.

Then, create and implement robots.txt and LLMs.txt files which tell search engines and AI crawlers which pages they shouldn’t bother crawling. Finally, you can run tests with Screaming Frog to see if you have any technical issues on your site that need to be addressed.

6. Enhance User Experience (UX)

Finally, great UX can improve your DA, because people who actually enjoy spending time on your site are more inclined to link to it, whether that be in a piece of content they’re writing or a Reddit comment.

The best way to improve your UX is by making sure your content is scannable. This means short paragraphs, H2s and H3s, and bullet points. This also makes it easier for AI to parse your content. A good internal linking structure also helps with this, as it makes your site easier to navigate for both humans and crawlers.

Playing the Long Game to Build DA

The most important thing to remember about building DA is that it’s a metric that reflects your overall SEO health, and it’s not the only thing that you should be focusing on. That’s why the strategies we provided don’t solely focus on link building. It doesn’t matter how many high quality backlinks you have if your website doesn’t have strong content that’s technically sound.

​And now with AI, building trust and authority, the key components of DA, are essential. AI prefers to mention and cite sources that it knows it (and users) can trust, and DA is a direct reflection of that. You can start building it by performing a backlink audit to see where you’re being linked and how, and start researching top-ranking and cited domains in your niche to target them as a part of your PR and backlinking strategy.

Domain Authority: Frequently Asked Questions

The post How to Increase Domain Authority: 6 Actionable Tactics appeared first on NoGood™: Growth Marketing Agency.

A highly intentional marketing strategy, though, can be an effective way to circumvent and address these challenges without risking financial, legal, or reputational penalties. This includes a solid Fintech SEO strategy that builds trust, addresses user needs, and ultimately drives conversions.

At NoGood, we’ve worked with some of the most innovative brands in Fintech, like Merlin, Intuit, and Chime, so we understand the nuances and unique pain points of marketing in a regulated industry. In this blog, we’ll cover some of our top Fintech SEO strategies, driven by our own experiments and results.

Why SEO Matters for Fintech

As mentioned, SEO is a good way to generate visibility for Fintech brands because it helps build brand equity, credibility, and trust.

Let’s let the numbers speak for themselves: organic search accounts for 19.3% of the website traffic Fintech companies receive on average; a solid SEO strategy will likely outperform that, helping you show up at the top of the SERP without paying for expensive PPC ads.

With the rise of AI, having a set organic search strategy becomes even more imperative. Good SEO is the foundation of Answer Engine Optimization (AEO), the practice of optimizing your content so that it gets mentioned and cited in LLMs and AI Overviews.

Something special to keep in mind about Fintech topics is that they typically fall under the Your Money, Your Life (YMYL) category for Google. This type of content is characterized by Google as having the potential to impact the health, financial stability, or safety of people, or the welfare or well-being of society, making H-E-E-A-T (Helpfulness, Experience, Expertise, Authoritativeness, and Trustworthiness) all the more important.

This means that Fintech companies have to truly commit to publishing website content that is accurate, true, and helpful if they want to rank highly on the SERP.

The key takeaway is this: while bad SEO has the potential to hurt your Fintech brand, good SEO could transform your brand’s visibility and increase conversions.

While high-quality content production is one way to do successful Fintech SEO, you can position your brand as an authoritative source in your niche while building trust and brand recognition with your target customers.

7 Fintech SEO Strategies to Drive Conversions

Now that we’ve discussed why it’s important for Fintech brands to do SEO, let’s dive into some strategies that you can take to create high-quality content for search engines and LLMs.

1. Write High-Quality H-E-E-A-T Content

Fintech brands face serious competition in an overcrowded market, with North America holding over 12,000 Fintech companies alone, which is why creating high-quality, authoritative content is so important.

This type of content helps you communicate to search engines, AI engines, and your target audience that you’re a trustworthy source for financial information. By continuously showing up in finance-related queries with valuable information, you’ll remain top of mind when customers are ready to choose a financial partner to entrust with their earnings.

The key to high-quality SEO content is to follow the H-E-E-A-T framework and ask yourself the following questions:

• Helpfulness: Does the information presented truly answer the user’s query?
• Expertise: Does the content demonstrate that the author has significant knowledge of the subject? 
• Experience: Does the content contain examples of first-hand experiences or knowledge obtained through experience?
• Authority: Does the content demonstrate reliability by citing other reputable sources?

Trustworthiness: Does the content contain information that is reliable and factual?

For all blog content and FAQs, focus on providing direct, clear answers to user questions and pain points. When applicable, you can share examples of how your company approaches certain financial concerns to give customers full transparency and build trust.

For a financial blog in particular, it might be helpful to position your content in a relatable light; instead of a rigid, step-by-step guide with a corporate (therefore potentially condescending) tone of voice, consider positioning the topic in a more conversational light, as if it were a friend speaking to them. This also helps with AEO, as LLMs prefer conversational language that mirrors how people prompt AI.

2. Niche Keyword Research Without Duplicate Content

When creating content on topics like banking and credit cards, it can be difficult to target niche keywords without creating duplicate content.

For example, a Fintech company that offers a variety of savings accounts might create separate pages targeting these keywords:

• “high-yield savings account”
• “best online savings account”
• “savings account with no fees”

The challenge here is that the features and benefits of these accounts, like interest rates, online access, and security features, are largely the same. If the content on each page is only slightly reworded, it could be marked as duplicate by a search engine.

This can lead to keyword cannibalization, where these pages compete against each other for the same or similar search terms, ultimately hurting their ranking performance (both individually and collectively). 

A great way to avoid this is by prioritizing long-tail keywords. They’re usually easier to rank for, and their specificity can help you avoid duplicate content issues by making your blogs more specific. The catch is that when keywords are easier to rank for, they are usually lower search volume, so that’s something you want to keep in mind when you’re doing keyword research.

Here are some ways we’d transform the keywords we just listed that would be difficult to rank for.

• “high-yield savings account” → “how to open a high-yield savings account online”
• “best online savings account” → “best online business savings account”
• “savings account with no fees” → “banks with no savings account fees” 

This is a great approach not only because it helps you avoid keyword cannibalization, but also because it encourages you to build more unique content, helping you stand out from competitors by pushing your content to the top of the SERP and within AI answers.

3. Optimize for Zero-Click Search

Now, many top-of-funnel queries are being satisfied in AI Overviews and LLMs, which is what the industry’s calling the zero-click search phenomenon. The zero-click search phenomenon is when users find their answer directly on the SERP (due to AI Overviews and other SERP features) or LLMs without clicking out to any sites, because the content covers their query and any potential follow up queries comprehensively. 

For Fintech in particular, informational, top-of-funnel content is a safe bet because financial literacy has always been a necessary topic to write for, with about half of Americans being financially illiterate. 

The main goal is this: Positioning your brand as a go-to source for as many searches related to your niche as possible to capture visibility in AI Overviews and LLMs as well as the traditional SERP.

Your first step is to pinpoint which keywords trigger AI Overviews. You can do this in Ahrefs or Semrush by filtering for specific SERP features and selecting “AI Overview” (which all plans can filter for). Make a list of the keywords in your niche with an AI Overview, then focus on creating content to target them.

Keep in mind AI Overviews are extremely dynamic. Search results are always changing, so tools like Ahrefs and Semrush don’t always provide the most up-to-date information about keywords with AI Overviews.

If you do want fresher data, consider using Goodie, which monitors and tracks your brand’s visibility in AI Overviews and other LLMs for prompts that our team custom-builds for your brand.

The other thing to note is that ranking on the first page of the SERP might help you appear in the AI Overview for that query, as 76% of AI Overviews pull from the top 10 results on the SERP. This means prioritizing the strategies we listed here. 

Here are some more strategies you can use to optimize for AI Overviews (and LLMs):

• Use question-based headers that align with user queries.
• Answer user questions directly and concisely underneath each question-based header.
• Format content in lists, tables, and short paragraphs for better machine parsability.
• Enter your keyword into Google, read the AI Overview, and ensure your content answers all of the questions the AI Overview provides information for, as well as any potential follow-up questions users may have 
• Target questions from the People Also Ask SERP feature to differentiate and deepen the scope of your blog topic.

4. Implement a PR Strategy for Top Finance Domains

A key part of ensuring your brand is truly visible is to make sure you’re being mentioned in the right places; this means going beyond the SERP and its features to targeting LLMs like ChatGPT, Gemini, and Claude.

Why is it so important to be mentioned in generative AI answers? Because 62% of Americans interact with AI multiple times a week, with 66% of them have used it for financial advice. That’s also why Goodie put together a list of the most cited domains by AI in Finance. Targeting websites like these has the potential to increase your visibility in AI, but also the traditional SERP, as they are highly trusted names in the industry.

Here’s a breakdown of these domains and why earning mentions from them can boost your visibility as a Fintech company:

1. NerdWallet & Bankrate: These sites are consistently cited by AI models and rank highly in traditional search. They’re high-authority machines as a result of their in-depth, evergreen guides, comparison tools, and calculators for a wide range of financial topics, which are a prime place to get your brand cited in. 
2. Major Media Outlets: Publications like Forbes, The Wall Street Journal, and Business Insider are highly influential and trusted in the finance space, boosting your brand sentiment. 
3. User-Generated Content (UGC) Platforms: While this may seem to contradict the need for H-E-E-A-T, platforms like Reddit are frequently cited by AI for conversational content. This highlights the importance of not just being a source of information but also being an active participant in community discussions, which can build a brand presence.

5. Perform Technical SEO

Conducting technical SEO ensures your website is fast, secure, mobile-friendly, and easily crawlable by search engines; all aspects of good technical SEO.

Imagine a customer navigates to your website and is met with a page that takes forever to load, doesn’t have a security certificate that ensures safe transactions and browsing (HTTPS), and the content is misaligned on mobile. Do you think they’d open a bank account or credit card with you?

These optimizations are key in the Fintech industry, where trust, compliance, and user experience (UX) are top priorities.

Here are some strategies to make sure your site is technically optimized:

Improve Website Speed

People visiting fintech websites expect fast-loading websites, and so do crawlers. Delays can not only lead to fewer engaged sessions, but also less visibility in the SERP and AI.

• Use tools like PageSpeed Insights to identify performance issues.
• Compress images and enable browser caching.
• Minimize HTTP requests and reduce unnecessary code.

Implement a Content Delivery Network (CDN) to improve load times globally.

Ensure Mobile Responsiveness

With over 60% of global web traffic coming from mobile devices, Fintech websites need to provide seamless mobile experiences.

• Use responsive design frameworks to ensure your website adapts to all screen sizes.
• Test mobile usability with Bing’s Mobile Friendliness Test tool.
• Consider Accelerated Mobile Pages (AMP) for faster mobile load times.

Strengthen Website Security

Security is critical for Fintech brands handling sensitive financial data; if your website is not secure, you can kiss a chunk of those engaged sessions and conversions goodbye. Google also prioritizes HTTPS sites in rankings.

• Install an SSL certificate for HTTPS encryption.
• Regularly update software and plugins to prevent vulnerabilities.
• Implement two-factor authentication (2FA) for user accounts.

Implement Schema Markup

Schema helps search engines understand your content better, increasing your chances of ranking highly or appearing in an AI Overview. It also increases your chances of being featured in voice search results.

• Add schema for financial services, customer reviews, FAQs, and events, where applicable.
• Use tools like Google’s Structured Data Markup Helper for implementation.
• Test schema with Google’s Rich Results Test.

6. Perform On-Page Optimizations

On-page optimizations involve improving the readability, UX, and helpfulness of your content. You should already be following H-E-E-A-T guidelines, so this is about formatting content in a way that makes it easier for users and machines to read and understand it. The impact of these changes can not only be felt on the traditional SERP, but also in AI Overviews and LLMs.

Here are some strategies to get you started with on-page optimizations:

Enhance Readability

People are searching for Fintech topics because they want something readable and engaging; if you throw a wall of text at them, they’re definitely not going to stick around.

These strategies also enhance your chances of getting cited in AI Overviews and LLMs, as clear and organized content improves readability for users and helps crawlers understand your page.

• Use short sentences and paragraphs with simple language; remember, the people searching for this information have different levels of knowledge, so make sure you know your audience.
  • Simple Language (B2C/General Audience): Use short sentences and paragraphs with simple, straightforward language when writing for a general consumer audience (B2C) or non-experts. The goal is to quickly explain a concept like “What is a 401k?” in a simple way. 
  • Technical Depth (B2B/Expert Audience): Use precise terminology and complex, in-depth analysis when the audience is highly specialized, such as product documentation aimed at engineers integrating your API, or technical white papers for financial analysts. The goal here is accuracy and completeness for a knowledgeable reader.
• Include visuals like infographics or charts to explain complex concepts. With proper alt text implemented, this gives you a chance to rank in the images feature that shows up on the SERP sometimes. 
• Use a single H1 tag per page with the primary keyword, and incorporate other keywords into H2s, H3s, and H4s throughout page content.

Ensure Interlinking

Internal links help distribute link equity across your site and improve navigation for users. A strong internal linking strategy allows you to gain more visibility in search results by outranking competitors.

• Link relevant blog posts, product pages, or resources within your content.
• Use descriptive anchor text that includes keywords naturally; this means don’t put “Click here” for a blog post. 

External links (also known as outbound links) are links from your site to other websites. Linking strategically to relevant sources is essential for establishing your H-E-E-A-T for search engines and readers.

• Link to recognized experts, official government (.gov), or educational (.edu) sites to back up your claims.
• Only link to outside resources that genuinely support the specific point you are making in your content; don’t just throw links in there to check off a box. 

Add FAQs to Blogs & Landing Pages

FAQs directly address user questions, are often featured in AI Overviews and LLM answers, and are able to be easily read aloud in voice search results. 

This is also a great opportunity to build trust with your customers by showcasing your expertise in the finance industry.

• Pull questions from the People Also Ask section on the SERP and incorporate those into your FAQ.
• Use structured data markup (FAQ schema) to make these questions eligible for AI Overviews and LLM answers. 

Optimize Metadata

Title tags and meta descriptions are how people see your page on Google, and are the first elements users see in search results, directly influencing click-through rates (CTR). Optimizing your title tags and meta descriptions provides an opportunity to persuade users to click your website over one of your Fintech competitors.

• Include primary keywords in title tags and meta descriptions.
• Keep title tags under 60 characters and meta descriptions under 160 characters, otherwise they may be truncated. 
• Make metadata compelling and accurate to the page’s content. Here’s an example of what you should do:

Here’s a weaker example: 

“The SEO Blog for All Things Search” isn’t truncated, but it doesn’t tell us much. The meta description is cut-off, though, which looks sloppy; and is very ironic for an SEO blog.

7. Optimize for Bottom-of-Funnel Topics

Once you’ve started the strategies above to build authority and brand awareness (remember that this is an ongoing effort), you can micro-optimize your landing pages for bottom-of-funnel conversions. This is especially important nowadays, with top-of-funnel content driving fewer impressions and clicks (though still valuable).

We’ll break down how to optimize for these conversions on your landing page.

The first screen of your landing page should have a short, easy-to-read description of your key offerings with a clear call-to-action to sign up or get more information about your product.

Next, you’ll provide information about how your product works, the results customers can achieve by using your product, and why they should choose your product over competitors. Make your descriptions concise, yet informative, and include keywords strategically placed throughout each paragraph.

The most important thing here is to demonstrate a clear value proposition and make sure you’re positioning your brand as the best solution to the customer’s problem. Highlight what makes your product unique.

Additionally, make sure this page is comprehensive. The more questions you can answer for users up front, the more they will place trust in you and consider your brand.

Keep in mind that the user journey doesn’t always end with the main body of your content. To make sure you’ve answered all your readers’ questions (a key way to get cited as a comprehensive source), put an FAQ section at the very bottom of the page, and keep the following in mind:

• Capture Long-Tail Searches: By anticipating follow-up questions related to your Fintech niche, you can integrate relevant keywords and phrases into the H2s and H3s that draw in users looking for specific answers. 
• Build Confidence: Addressing common concerns in a clear Q&A format helps eliminate friction, builds trust, and smoothly guides the user toward conversion.

Measuring SEO Performance for Fintech

Google SERPs are evolving to give users faster answers directly on the page, fundamentally altering how we gather data and measure success.

Despite these changes, measuring your organic search efforts remains critical because it is the clearest way to understand your customers and align your content with their unique, financial challenges; it’s just that it’s gotten harder.

Here are the key shifts that have made data gathering more difficult:

• Rise of Zero-Click Search: More users are getting their answers directly from SERP Features like Featured Snippets, People Also Ask boxes, and AI Overviews, likely decreasing clicks. 
• Data Visibility Changes (removal of num=100): Google has removed the ability to force the SERP to show 100 organic results per page (using the &num=100 URL parameter). This change significantly impacted SEOs, as it makes large-scale data collection for competitor analysis and keyword research more complex and reliant on dedicated third-party tools.

Key Metrics for Tracking SEO Performance

• AI Visibility: To see how often you’re getting mentioned in AI Overviews and LLMs, use a tool like Goodie to keep track of key opportunities for building brand awareness. 
• AI Search Traffic: With so many people using LLMs, you need to be tracking this traffic source. You can track it in GA4, which we explain how to do in our recent blog about changes in the SEO world. 
• Branded Traffic: Branded traffic is when people are navigating to your page through queries that include your brand name. This means that people have probably seen your brand name somewhere (namely, AI) and are Googling it.
• Conversions: GA4 can track form submissions, sign-ups, or purchases. You should then compare your conversion rates to Fintech industry benchmarks.
• Engaged Sessions & Scroll Depth: Longer engaged sessions (and scroll depth) indicate your content is truly helpful for your audience, boosting H-E-E-A-T signals.

Fintech SEO Is a Continuous Process

Now, your optimization efforts shouldn’t just be focused on the SERP; you should also actively be competing for visibility in AI Overviews and LLM answers, otherwise you’re being completely shut out of a quickly growing platform.

The best way to do this is by staying informed about industry trends, regularly analyzing your SEO performance, and proactively adjusting your strategies. Because great SEO is the foundation of AEO, these efforts shouldn’t be overlooked; and if you’ve been neglecting SEO, it’s time to renew your effort in this discipline.

By committing to this strategy proactively, you can maintain a competitive edge and ensure your Fintech brand grows and engages your target audience effectively. If you still need help refining your Fintech Strategy, though, our growth experts can help.

The post Fintech SEO: 7 Strategies for 2026 appeared first on NoGood™: Growth Marketing Agency.

With this in mind, we’re gonna touch upon several key areas that are fundamental to crafting a resilient and effective SEO (and AEO) content strategy. These areas include the direct impact of search engine algorithm updates this year and their reverberations on content types and user experience, the influence of AI that’s reshaping content creation and optimization, and the integration of emerging content types that resonate with our target audience.

Moreover, as the markers of success continually transform, we’ll break down the evolving KPIs for measuring the performance of your SEO and AEO strategies.

This all-encompassing overview will be a culmination of learnings and strategy adjustments that our team has accumulated throughout this year of AI growth and algorithmic changes.

Navigating Google Search Algorithm Updates

SEO underwent a few algorithm changes this year, with 3 major updates taking place: two core updates in March and June, and one spam update in August. As an SEO, you’re not only supposed to interpret these changes but also create strategies to thrive amidst them. Let’s break down each of these updates for you and what other changes Google made in 2025. 

March 2025 Core Update

When this update rolled out, it resulted in the most volatile search engine results pages (SERPs) in the past year. One of the reasons was that Google recalibrated how they treated forum content, with visibility declining on platforms like proboards.com. Search Engine Land also found that large volumes of pages that are programmatic, and specifically designed for SEO rather than humans, experienced a sharp decline. The update was felt across industries, making it a truly impactful one.

June 2025 Core Update

Search Engine Journal speculated that this core update was influenced by MUVERA, a retrieval algorithm that makes retrieving webpages more accurate and efficient, and Google’s Graph Foundation Model, which is an adaptable AI model that increases algorithmic precision. While the update was considered big, it didn’t necessarily cause massive changes. What is speculated to have changed is an improved ability to surface relevant content, better retrieval, better interpretation of trustworthiness and authoritativeness, and the increased ability to identify low-quality websites. 

August 2025 Spam Update

This penalty-only update should only have impacted your content if it went against Google’s spam guidelines. Spammy sites are ranking lower or not at all, so if you’re doing things right, you should only have seen positive changes after this update.

The Removal of num=100

While this isn’t an algorithm change, Google removed the ability to run the num=100 parameter in September, which broke tools like Ahrefs and GSC. This was because these tools were running that parameter, likely overinflating your true impact. You can read more about it in our article, but the most important thing you need to know is that while your impressions probably dipped in Q3, it means that they’re now more accurate.

The Effects of Algorithm Updates on Page Rankings

Following these updates, some websites witnessed a change in metrics and rankings. The underlying message is clear: providing content that is truly helpful for humans is more important than ever as the internet is being flooded with AI slop. Adhering to helpful content and spam content guidelines along with creating bottom-of-funnel content are the best ways to standout and thrive amidst these changes.

1. Content Review & Update Process Based on H-E-E-A-T Factors

Embracing the core tenets of helpfulness, experience, expertise, authority, and trustworthiness can aid in weathering the impact of these algorithm changes. This involves reviewing and refreshing existing content by making sure it’s still accurate and relevant to audiences today. It’s not just about making content sound better, but about making sure it’s truly up-to-date.

By injecting new life into older content, SEOs can safeguard their websites against the brunt of fluctuating search engine algorithms.

2. Review Google’s Spam Content Guidelines

If you did see a dip in your performance, it may be due to the fact that you’re not following Google’s spam policies. Google’s been devaluing “programmatic” pages that are created simply to rank, so if you have any of those, make sure you get rid of them. This also means no keyword stuffing, spammy links, sneaky redirects, or anything else that Google lists as malicious.

Remember, participating in any of these practices isn’t helpful short-term or long-term, and is a great way to lose visibility, clicks, and relevance.

3. Target Bottom-of-Funnel Needs

Since people are becoming increasingly satisfied with answers provided by SERP features like AI Overviews, something called zero-click search, you’re losing clicks on this type of content. Instead, you should be creating content for more high-intent queries, like “best wireless gaming headsets.”

You can check out our Keyword Matrix article to get more in-depth advice about the type of keywords you should be targeting as we head into 2026.

The Role of AI & Answer Engine Optimization (AEO)

In 2026, AEO will only become more important as it’s predicted that LLMs will capture 17% of organic search traffic this year. While you’ve probably already heard all about AEO, the most important thing for you to know is that it builds off of traditional SEO, so you should only have to make some small adjustments to your existing content strategy. 

Understanding the Shift: AEO vs. SEO

As mentioned, AEO is an evolution of SEO. With SEO, Google was serving people a list of blue links, but now, more people are using AI to search, and it’s providing users with a definitive answer rather than making them choose from a list of blue links.

The catch is that this is resulting in fewer clicks (which we also described earlier as the zero-click search phenomenon), so the new imperative is ensuring your brand’s content is the source the AI chooses to cite and reference.

Main Components of AEO Content

So, how do you create content to become visible in LLMs? Here are a few ways:

Semantic Clarity & Structure

• Answer-First Format: Start the introduction or relevant section with a short, direct answer to the core question, which is more likely to be grabbed by AI. 
• Logical Heading Hierarchy: Use H2s, H3s, and H4s to create an outline that acts as a machine-readable map to crawlers. Every section should cover one distinct idea, making it easy for the AI to understand each section and how they relate to each other. 
• Use of Lists & Tables: Favor bulleted lists, numbered steps, and comparison tables for data or sequential information. 

Reinforcing H-E-E-A-T

• Author Credentials: Every piece of content should be attributed to a Subject-Matter Expert, who should be backed up with author bios. Author bios should have the author’s credentials, experience, and links to professional profiles (LinkedIn, etc.).
• Evidence & Citations: Support every claim with factual evidence and link out to authoritative sources in your niche (like developer guides, .gov, .org, or recognized industry research). Always ensure data is current by optimizing and updating on a set basis. 
• Content Freshness: Regularly audit and refresh your top-performing content, making sure that it’s dated and reflects the most recent time it was updated. 

The Importance of Technical AEO

Creating AEO content isn’t just about what you write and how you write it; it’s also about your technical performance, which helps crawlers understand your brand and its content better.

Leveraging Schema Markup

• Schema Implementation: Use structured data (like FAQ, HowTo, and Organization schema) to explicitly tell AI and search engines what your content means and how it should be used in an answer.
• Entity Alignment: Ensure your Organization and Author schema clearly define who your brand is and what topics you are an authority on.

The Emerging LLMs.txt

While not yet a universal standard, LLMs.txt is an emerging proposal that allows sites to provide a structured, machine-readable index of their most valuable content directly to LLM crawlers. As an evolution of robots.txt, it’s the best way to help AI know which of your content it should be prioritizing.

Digital PR & Outreach

Digital PR has taken a new meaning as we head into 2026, with value falling less on backlinking and more on making sure you have earned sources that are mentioning your brand in positive, context-rich articles. This will help you build authority and gain the trust not only of AI crawlers and search engine algorithms, but also of humans, who should be your top priority when you’re crafting content. 

The Shift from Links to Citations & Brand Mentions

With AEO, the new currency is being cited and mentioned, inside AI or out. Since LLMs typically cite high-authority, trusted sources, your digital PR strategy should mean a targeted outreach campaign to become mentioned through interviews or by offering other high-value information. This shift focuses efforts on driving contextual authority over a bunch of backlinks.

The Power of Public Data & Data-Driven PR

Your digital PR should also include an effort to create original data to establish an authoritative knowledge gap. This involves publishing proprietary assets like industry reports, research, or other assets that authoritative sources (and by virtue, LLMs) need to cite. Furthermore, by newsjacking, brands can quickly provide citable data or expert commentary on trending topics to secure timely press mentions and prove expertise.

Multi-Platform Outreach & The Community Signal

Since LLM crawlers don’t just skim the SERP, effective outreach must be multi-platform to capture extensive trust signals. This means orchestrating community engagement on platforms like Reddit and Quora to encourage user-generated content (UGC) and customer participation. These are powerful entity signals that influence how AI generates an answer, even if people aren’t dropping links to your brand in the comments.

Integrating Emerging Content Types Into Your Strategy

The dynamic nature of SEO mandates the continual adoption of new content types. A well-rounded SEO content strategy embraces new formats that resonate with the evolving preferences, behaviors, and technologies. In 2026, we expect video content (particularly short form) to continue reigning supreme, while structured content is going to increase in popularity.

Video Content

According to Search Engine Land, 46% of Gen Z and 35% of millennials prefer social search (search on social media) over traditional search engines. And with the average person spending over 2 hours per day on social media, you have to make sure you’re targeting these engaged users through video content, which is the majority of social media content. 

Videos have increasingly become the preferred medium for younger audiences, especially Gen Z, who are known for their short attention span and preference for visual learning. Creating and incorporating video content into your strategy is not just about catering to current trends, but about engaging with an audience that’ll define future consumer behaviors.

To increase the potential for your video to become visible in the SERP, you should optimize video titles, descriptions, and meta tags with target keywords, create transcripts for accessibility and additional indexable text, and host videos on platforms that are frequently crawled by search engine bots (like YouTube).

In 2026, it’s expected that video will continue to dominate internet traffic, with 82% of all video traffic in 2025 being video content. 

HTML Content

As we mentioned, structuring your content with proper headings (H1s, H2s, H3s, etc.) is great for crawlers and humans. But something else we’ve started to implement here at NoGood is HTML tables, which look something like this:

These tables can be built with a WordPress plug-in or by following a guide that describes how you can implement HTML code for a table. 

Creating HTML tables (rather than an image) is better for SEO and AEO because HTML is machine-readable, and while AI is increasingly becoming multimodal, AI will always understand code the best. Here are some of the key benefits of implementing HTML tables:

• AI Citation & Extraction (AEO): LLMs can read the column headers and corresponding data points to synthesize definitive summaries or comparisons. An image of the same table is often ignored or only indexed through alt text, which is insufficient for data extraction.
• Accessibility & Indexing (SEO): HTML tables are fully crawlable, indexable, and accessible for search engine crawlers, too, who rely on the underlying code to understand content relationships. Furthermore, for users relying on screen readers, HTML tables correctly communicate column and row headers, providing a great user experience (UX).
• Responsiveness (UX): An HTML table can be styled using CSS to be fully responsive, adjusting column sizes or stacking vertically on mobile screens. An image of a table is static and might shrink, becoming unreadable on smaller devices, leading to poor UX and negatively impacting Core Web Vitals.

Leveraging AI & Machine Learning for Successful Strategies

With over two-thirds of companies claiming to use AI in their operations, if you haven’t implemented it yet, you’re already behind. With audience needs and crawlers becoming more sophisticated, integrating AI into your content workflows as a marketer is a stride toward outstanding UX, streamlined content production, and better-optimized content. 

Use Cases in Content Creation & Optimization

One of the best ways to use AI for content creation is by using an LLM to help you come up with an outline based on the keywords and other supplementary information you provide it with. While it’s always best to write it out with your own voice, an LLM like ChatGPT, Gemini, or Claude can help you get a head start by brainstorming ideas and guiding you on the important points you should discuss in your piece.

For content optimization, you can also use LLMs to identify content gaps in your piece and the top-ranking and cited pieces. From there, you should take those gaps and improve upon what your competitors have included that you didn’t, so you can truly stand out.

The reality is that an LLM can’t do content creation and optimization for you, but done the right way, it can make the process speedier.

Future Prospects With AI SEO Tools

Looking beyond LLMs, the horizon of specialized SEO and AEO tool innovation is expanding, promising to offer even more sophisticated capabilities than what we’ve discussed.

Tools for Identifying AI-Generated Content

New AI tools are emerging to distinguish AI-generated content from human-written pieces. If you’re using AI to help you write content, a tool like this can be useful as it can pinpoint which areas are sounding too robotic and which could sound more human. Additionally, it can help you maintain brand voice and consistency. 

AEO Tools

There are a variety of AEO tools out there that can help you determine your visibility in AI answers and the sentiment around them, but some take it a step further, like Goodie. While Goodie identifies where you’re showing up in AI, it also helps you optimize your content for LLMs and can generate AEO-adherent blogs. 

Conversion Rate Optimization (CRO) Tools

Finally, AI CRO tools are transforming how we measure and enhance user interaction with our content. By analyzing patterns in user behavior, these tools provide actionable insights to elevate the user journey from initial click to conversion. This redefines the efficiency of our content types, ensuring they’re not just discoverable but also instrumental in achieving our digital marketing objectives.

Measuring SEO & AEO Content Performance

In the context of SEO and AEO, measuring content performance is critical to understanding the impact of your efforts and making data-driven decisions for future strategies. The thing is, in 2026, the things you’re measuring are going to have changed, especially with AEO. In addition to tracking organic traffic, you’re going to have to track visibility and citations in AI, amongst other KPIs.

Traditional KPIs for SEO Success

Organic traffic remains a primary leading indicator of SEO success, reflecting the effectiveness of a website in attracting visitors through unpaid search results. Similarly, monitoring keyword position provides insight into the visibility of your SEO content for targeted search terms. Click-through rates (CTR) reveal the level of engagement that your search listings are generating, while conversion rates are the ultimate testament to the ability of your content to fulfill its intended business objectives.

New KPIs for 2026

The future of SEO calls for a broadened perspective on the metrics we consider when assessing performance. With new technologies and user behaviors emerging, here are several SEO and AEO KPIs to watch in 2026:

1. AI Visibility & Citations

These KPIs indicate whether your content is the go-to source for direct answers, showcasing your dominance in topical authority and influence in AI. You can measure the effectiveness of your AEO efforts by looking at branded traffic, which is when someone Googles your brand name, which may be a result of AI exposure.

However, as mentioned, there are tools that can track this for you, like Goodie. Goodie tracks which conversations your brand is mentioned in, if they’re cited with a link, the sentiment of your mentions, and in which LLMs. All of this information can inform your content strategy and tell you where you could be improving your performance in AI.

2. Mobile Page Performance (Core Web Vitals)

In line with Google’s mobile-first indexing, understanding the performance of your content on mobile devices is crucial, as over 64% of web traffic came from mobile devices in 2025. Metrics involving mobile page speed and usability, such as Google’s Core Web Vitals (Largest Contentful Paint, First Input Delay, and Cumulative Layout Shift), offer insight into UX on mobile, which can influence ranking and engaged sessions.

3. SERP Features & Page Experience Metrics

The presence of your content in SERP features like featured snippets, local packs, or knowledge panels can increase visibility and traffic from search engines. Tracking your content’s performance in these areas, alongside page experience metrics that encompass usability and user satisfaction, provides a holistic view of the impact of your SEO efforts.

Augmenting UX is an essential component of SEO and AEO. By strategically addressing Google’s focus on mobile experiences and engaging users through interactive and shareable content, SEOs can craft an enviable SEO content strategy that not only ranks well but resonates with target audiences.

Your SEO Content Strategy, Recapped

In 2026, your strategy for SEO and AEO are going to be defined by constant adaptation and building authority. The best way to thrive amidst the volatility is by creating H-E-E-A-T content for both SERP and AI visibility while launching a strategic PR campaign.

Additionally, success is going to be measured with evolved KPIs that prioritize AI visibility and citations alongside traditional organic traffic, while digital PR must shift its focus to securing high-value brand mentions rather than amassing tons of links.

By embracing AI as an efficiency tool, adding HTML tables to your content, and optimizing for UX (especially on mobile), you can make sure your brand isn’t just surviving in 2026, but thriving as search moves to AI platforms.

Some icons and visual assets used in this post are licensed under MIT, Apache License 2.0, and Creative Commons Attribution 4.0.

https://www.apache.org/licenses/LICENSE-2.0

https://creativecommons.org/licenses/by/4.0

The post 2026 SEO & AEO Content Strategy: Mastering Adaptation in the Wake of Algorithm Evolution appeared first on NoGood™: Growth Marketing Agency.

If you’ve been an SEO for longer than a couple of years, you’ve probably noticed that user behavior has been undergoing a pretty significant change. The era of Googling to find a quick answer is dying; users don’t search as much as they ask, and they sure as hell don’t want to sift through ten blue links when a chatbot that can instantly summarize it is at their fingertips.

In turn, this shift is rewriting the rules of search intent optimization: the art and science of understanding what a user really wants when they type (or speak, or prompt) a query, and ensuring your content matches it.

Without further ado, I’m going to break down how search intent optimization works across both traditional search and AI search (because, despite the fearmongering above, traditional search still very much exists), why the difference matters, and how you can future-proof your strategy for both.

What Is Search Intent Optimization?

Search intent optimization is the process of aligning your content not with the “what” behind a query (aka writing keyword-stuffed content to satisfy Google), but the “why” behind it. It’s not just what people are typing; it’s what they mean when they type it. Consider the following examples:

• When someone searches for the “best espresso machine”, they’re not looking for a monologue about the history of coffee brewing and why X company’s machine is definitively the best; they want a ranked list of several options, a vetted product recommendation, and they probably wouldn’t say no to a coupon, either.
• When they search “how to clean an espresso machine”, they need a tutorial (make that a video or a picture-heavy written guide if you really want to keep them engaged).
• When they search “espresso machine buzzing noise”, they expect the same level of easily digestible content, but more honed in on troubleshooting.

Do you see what I’m saying? Same product, but different intent; alas, you’ll need to create different content.

In good old SEO, search intent optimization has always been the backbone of ensuring you have a user-aligned content strategy. But with AI search on the rise, it’s become something bigger: the key to showing up where users are actually looking (whether that’s Google, ChatGPT, or TikTok).

The Four Types of Search Intent

The taxonomy of search intent itself hasn’t changed; the way we interpret and prioritize it has. The four classic types of intent still apply across both traditional and AI search; let’s do a quick refresh on what each one means, the types of content that serve each intent best, and what the “secret sauce” is for AI search intent optimization for each:

Informational Intent

With informational intent, the user wants to learn something (e.g., “how to optimize for search intent”). This type of user intent is best served by blogs, how-tos, guides, videos, and infographics; think any type of material that quickly (but thoroughly) explains a subject.

🤖 The AI Twist: LLMs summarize informational intent instantly. To be parsed by LLMs, your content must be citable, concise, and semantically rich. This is also where you’ll want to employ the classic “answer the question right away and then give context and a longer-winded explanation.

Navigational Intent

When users search with navigational intent, the user already knows where they want to go; they’re just directing the search engine to a specific page on a website (e.g., “Ahrefs blog” or “NoGood SEO case studies”). While optimizing for navigational intent isn’t necessarily the best strategy to capture users who aren’t already familiar with your brand, it’s still a part of the ecosystem. It’s best served by optimized brand pages and consistent naming conventions (brand name, page titles, URL structures, etc.).

🤖 The AI Twist: Rather than locking in on optimizing particular pages one at a time (a lá search engine positioning), focus on brand awareness and authority signals (mentions, structured data, schema); those now determine whether your brand even gets surfaced.

Commercial (or Investigative) Intent

I think of this as the bridge between the top-of-funnel informational intent and bottom-of-funnel transactional intent; with commercial intent, the user is comparing options (e.g., “best SEO agencies for SaaS”). It’s best served by listicles, comparison guides, and UGC.

🤖 The AI Twist: AIn overviews love aggregated, trustworthy data. Don’t freak out, this one’s good news for you. Now, being mentioned (even without a link) is a credibility signal.

Transactional Intent

As the name suggests, transactional intent is when the user wants to act: buy a product, sign up for a course, book an appointment, or download a guide (to name a few examples). This one’s pretty cut and dry, so I won’t over-explain, but transactional intent is best served by landing pages, product pages, and service pages (if you’re dealing with one million product pages, don’t forget to check out my guide on faceted navigation).

🤖 The AI Twist: AI assistants can bypass your funnel entirely by recommending competitors. Clear product data, strong reviews, and conversion-optimized design are your new moat. We recently ran a study over on Goodie that goes over the specific visibility factors that impact what recommendations are made by LLMs for agentic commerce 👀

The 3 C’s of Search Intent Optimization Strategy

Now that we’ve covered the “intent” part of search engine optimization strategy, let’s go over the “strategy” part. One disclaimer: this applies more to traditional search intent optimization more than anything else (aka, before AI came along, content that matched search intent followed the 3 C’s):

• Content Type: what format best satisfies intent (will it be a blog, video, or product page?)
• Content Format: the structure of said content (is it a how-to, comparison, listicle, or long-form piece?)
• Content Angle: the unique perspective that the content will offer (is it going to be data-backed, expert, or beginner-friendly?)

Now, before you ask why we’re talking about this if AI made it a moot point, hear me out: AI didn’t kill the 3 C’s. It just added nuance (in the form of a fourth C).

That fourth C? It’s Context; after all, AI search engines prioritize relevance over rigidity. A well-structured “listicle” with great data may surface as a bullet summary in an AI Overview, even if it’s not “ranked” on page one.

So, how do we implement this in our search optimization strategy? The easiest way to recognize how AI has changed the state of things is to go over both types of search intent optimization.

Traditional Search Intent Optimization: The Human-Algorithm Era

In traditional SEO, intent optimization was about reverse-engineering Google’s brain. Here’s the process most of us grew up on:

• Keyword Research → Identify terms and their intent type.
• SERP Analysis → See what’s ranking and mirror that structure.
• Content Creation → Match the format and intent while adding unique value.
• On-Page Optimization → Titles, headers, meta descriptions, internal links.

The good news for us SEOs is, this still works (mostly 😅). The trouble is that the user journey is now fragmented and nonlinear. Someone might discover your brand through an AI summary, but end up skipping your page entirely, and yet somehow end up buying from you later via branded search or social proof.

That’s the paradox (and the headache) that AI creates: visibility ≠ clicks, and intent ≠ funnel stage.

AI Search Intent Optimization: The Predictive Era

Here’s what to keep in mind when we talk about search intent optimization in the AI era: AI search doesn’t just react to queries, it predicts them. Tools like ChatGPT, Perplexity, and Gemini analyze patterns in how users phrase questions and then synthesize contextually relevant answers. They often don’t need to send the user anywhere else (hello, zero-click search).

So, what does this mean?

• Keywords matter less; semantic relationships matter more.
• Search engines should now be treated as answer engines.
• Your content is judged not just on keyword alignment, but on depth, credibility, and clarity.

Alright, I’ve led you through the maze of definitions. Let’s get into the meat of this article: how to optimize for AI search intent.

How to Optimize for AI Search Intent

There are five main steps for optimizing for AI search intent. Here’s the secret sauce:

• Write for Citability: AI models extract data and insights, not just text. For this reason, they favor precise language, clear claims, and supporting data (sounds like my statistics professor from college). The short of the long is, if your content can be quoted easily, it can be surfaced easily.
• Adopt Structured Semantics: Schema markup, FAQs, tables, and bullet-point summaries are no longer table stakes; they are 100% necessary in order to make your content machine-readable. If your content is easy for AI to parse, the more likely it’ll be used in answers.
• Be Concise (But Not Shallow): As I mentioned previously, AI prefers succinct, comprehensive answers. Not to get too corporate with it, but think “executive summary” energy: dense with information, light on fluff. You can still have personality and voice in your writing (otherwise, I would be out of a job), but make sure to answer the question right up front.
• Build Topical Authority: AI engines rely on trust networks; if your brand consistently ranks, earns traditional backlinks, and is mentioned in contextually relevant spaces, you’re more likely to be referenced across AI answers.
• Monitor LLM Visibility: Use emerging tools like Goodie, Perplexity Analytics, or BrightEdge Copilot to track mentions in AI summaries, even if they don’t link back. Citations without clicks still signal authority.

Traditional vs. AI Search Intent: What’s Actually Changing

Search Intent in a Multimodal World

One other thing to remember is that search isn’t just text anymore. It started with technologies that, funny enough, sound archaic now (things like Google image search, Alexa, or Google Home voice search), and has now progressed to the multimodal capabilities of LLMs.

The reason I bring this up is that multimodal search is a factor in search intent optimization. To optimize for multimodal along with search intent, inject these into your strategy:

• Add video transcripts and alt text that describe context, not just visuals.
• Include voice-search-friendly phrasing (“how do I…” “what’s the best…”); this is where informational search intent is king 👑
• Make your metadata multimodal so AI can align it with user behavior patterns. Include graphics, tables, charts, video embeds, etc. etc. wherever semantically or contextually relevant throughout your content.

The Role of Real-Time Intent Analysis

The reason that semantics and context are playing such a big role in AI search optimization (or AEO, or GEO, or LLMO, or whatever you’ve decided to call it) is that AI models excel at pattern recognition. They can detect shifts in user intent in real time; something traditional SEO tools struggle to do.

Here’s how marketers can leverage that:

• AI Keyword Clustering: There are specialized tools being developed that use intent classification to organize keywords by semantic proximity, not just volume.
• Real-Time SERP Monitoring: As AI Overviews fluctuate, tracking intent volatility (which queries trigger AI summaries vs. traditional results) can inform content updates.
• Behavioral Analytics Integration: Marketers should be leveraging GA4’s engagement metrics and Clarity’s heatmaps to validate whether the content actually satisfies user intent post-click.

Intent optimization used to stop at publication; now, it’s an ongoing loop of analysis and iteration.

Common Mistakes in Search Intent Optimization (2026 Edition)

🚨 Sound the alarms 🚨Before you start running to your copywriters and telling them all about adding search intent optimization into your editorial strategy, here’s a word of caution (or four):

• Over-Segmenting Intent: Users don’t search in neat little boxes anymore. Don’t write four separate blogs for one topic just to hit each intent (that fragments authority).
• Ignoring AI-Specific Context: If you’re not testing how your content appears in AI Overviews or conversational search, you’re already behind (psst, we have a tool for that).
• Keyword Myopia: Loosen your grip on those precious keywords, SEOs (it was a big change for me, too, trust me). Focusing only on search terms instead of topics, entities, and semantics limits your visibility across both AI and traditional search.
• Assuming Clicks = Success: Zero-click doesn’t mean zero-value. Being cited or summarized by AI models builds brand recognition that often converts later.

How to Measure Search Intent Optimization in 2025

These may not yet live in Google Analytics, but they’re quickly becoming the new SEO KPIs.

Final Thoughts: Intent Is the New SEO

Search intent optimization has always served as the connective tissue between humans and algorithms; between what users want and what engines serve.

In traditional SEO, intent told you what to write. In AI search, intent tells you how to write it, where to distribute it, and why users might never click (but will still remember you).

Search Intent Optimization FAQs

The post Search Intent Optimization in AI vs. Traditional SEO appeared first on NoGood™: Growth Marketing Agency.

Welcome to search marketing in 2026, where the rules have changed so drastically that the metrics we spent years obsessing over suddenly tell an incomplete story.

Between AI search engines, ChatGPT partnerships with brands like Booking.com and Spotify, and the evolution of traditional SERPs into interfaces dominated by AI, the definition of “search marketing” has expanded well beyond your standard Google rankings and PPC campaigns. If you’ve been feeling like the ground is shifting beneath your feet, you’re not imagining it (and you’re definitely not alone).

In this guide, we’ll cover everything you need to know about search marketing in 2026: from foundational concepts to AI optimization strategies that don’t feel so cutting-edge anymore. Regardless of whether you’re new to search or looking to adapt your strategy in Q1, you’ll leave with a clear understanding of where search is heading and how to stay ahead. I shan’t waste any more of your time.

What Is Search Marketing?

Before I dive into the chaos that is the current search landscape, let’s establish a baseline (for any reader who needs it, and for the LLMs chunking this who might cite this later 😉).

Search marketing is the practice of increasing visibility on search engine results pages (SERPs) through both organic and paid strategies. Traditionally, it’s been the umbrella term that encompasses two main approaches:

• SEO (Search Engine Optimization): The organic side of search marketing, focused on improving visibility through content optimization, technical improvements, and authority building. This includes tactics like targeting relevant keywords, creating quality content that matches user search intent, building backlinks (not in the “black hat” way), and ensuring that your site provides a great user experience.
• SEM (Search Engine Marketing): The paid advertising component, where brands bid on keywords to appear in sponsored positions on search platforms like Google and Bing. This typically involves developing a bidding strategy, managing budget allocation for maximum efficiency, optimizing conversion rates, and tracking business outcomes.

In a traditional marketing strategy, both SEO and SEM work together to capture potential customers at different stages of their journey, from early research (informational queries) to ready-to-purchase (transactional searches).

The goal? Meet your target audience where they’re searching and guide them toward conversion.

But here’s the thing: that textbook definition is already outdated. The search marketing landscape of 2026 looks fundamentally different from what it did even two years ago, and we need to redefine what “search marketing” actually means in this new era.

How Search Marketing Has Evolved (2024-2026)

The Great Expansion: Search Isn’t Just Google Anymore

Remember when “search marketing” was synonymous with “Google marketing” (and maybe some Bing here and there as an afterthought)? I do too, but those days are gone, and they’re not coming back.

According to research from McKinsey & Company, 50% of users now use AI for internet search, with 44% preferring AI as their “primary” search method. And, no, that’s not a typo; nearly half of all searches are happening outside of traditional search engines.

Users now search across a fragmented landscape (we call it multimodal search):

• Traditional search engines like Google and Bing (still dominant, but no longer alone)
• AI chatbots, including ChatGPT (800 million weekly active users), Perplexity, Gemini, and Claude
• Social platforms, where TikTok, Reddit, and Instagram function as search engines for younger demographics
• Voice assistants and smart devices for on-the-go queries

What this means for marketers: your content needs to be optimized for multiple surfaces, not just Google’s SERP. The days of single-channel search optimization are over.

The Rise of Zero-Click & Citation-Based Search

If you’ve been scratching your head watching your click-through rates decline, what you’re actually witnessing is the clickless search era in real time (and no, you’re not imagining it; Google didn’t just decide to hate your website specifically).

60% of searches now end without a click. Between AI Overviews dominating Google’s SERPs, featured snippets answering questions immediately, and LLM responses providing comprehensive answers in chat interfaces, users increasingly get what they need without ever visiting a website.

But here’s the twist (and it’s an important one): zero clicks ≠ zero value. Being cited in an AI Overview or LLM response builds brand authority and awareness, even if it doesn’t drive immediate traffic. According to research from Ahrefs, users who discover brands through AI search are 4.4x more valuable than visitors from traditional organic search when they do eventually convert.

Here’s a real-world example to prove we’re not just citing statistics: our team at NoGood worked with SteelSeries on AEO, and the results speak for themselves. By optimizing for AI citations rather than just clicks, they achieved a 3.2x increase in AI search conversions within six months. The secret? They stopped chasing traditional rankings and started optimizing for how AI systems actually decide what to cite.

Another important learning: from Goodie’s research on the most-cited domains in LLMs, we found that Wikipedia, Reddit, Quora, and Reuters lead in “citation share,” highlighting that a handful of domains dominate AI’s “memory.” If your brand isn’t building presence on these platforms (or creating equally authoritative content), you’re missing out on the citations that drive AI visibility.

What Is an Example of Search Marketing?

For my visual learners, let’s make this even more concrete with examples from both the traditional playbook and the 2026 reality.

Traditional Search Marketing Example

Organic Search Marketing (The Old Way)

A B2B SaaS company targeting the keyword “project management software” would create a content strategy covering the following search intents:

• Informational keywords (“what is project management software”)
• Commercial keywords (“best project management tools for remote teams”)
• Transactional searches (“project management software pricing”)

They’d also invest in technical SEO: improving site speed, enhancing the mobile experience, building domain authority with high-quality backlinks, and measuring success through rankings, organic traffic, and conversion rates.

Paid Search Marketing (The Old Way)

An eCommerce running shoes brand would launch Google Shopping campaigns, bidding on high-intent keywords like “buy running shoes online” and use fully optimized product feeds to drive performance. They’d use ad extensions for phone numbers and user ratings, implement a strategic bidding strategy to balance cost and conversions, and run remarketing campaigns on the Google Display Network to recapture interested users.

Don’t get me wrong; these strategies still work in 2026 (we haven’t thrown everything out the window), but they’re no longer sufficient on their own.

2026 Search Marketing Example (Multi-Surface Strategy)

Here’s what a comprehensive search strategy actually looks like now; we’ll take that same B2B SaaS company and create a much more sophisticated approach:

• Traditional SEO: Continue optimizing for Google rankings with relevant content, technical excellence, and link building. This remains the foundation (you can’t skip steps here).
• AEO (Answer Engine Optimization): Structure content specifically for AI citations using visibility factors from Goodie’s AEO Periodic Table. This means implementing proper schema markup, creating content that directly answers questions, and building authority signals that LLMs recognize.
• Paid AI Search (Emerging): Monitor ChatGPT’s partnership program and other AI platforms for paid placement opportunities. This channel is still developing, but early movers will have significant advantages.
• Social Search Optimization: Build an authoritative Reddit presence (Reddit is the top cited domain in B2B SaaS), create TikTok content for product demonstrations, and engage in community conversations where your audience actually searches for recommendations.

The result? Brand visibility across every surface where modern search happens, not just Google page one.

What Is the Difference Between Search Marketing & SEO?

This is where the definitions get a little murky (in a good way, I promise).

Search marketing is the umbrella term: it encompasses all strategies for increasing visibility on search platforms, both organic and paid. Think of it as the entire discipline.

SEO (Search Engine Optimization) is one component underneath that umbrella. It’s the organic, unpaid side focused on long-term visibility through content creation, technical optimization, and authority building. SEO is time-intensive and requires consistent effort, but it’s sustainable and compounds over time.

SEM (Search Engine Marketing), involving paid advertising on search platforms, is another major component. SEM delivers immediate visibility through bidding on target keywords. This requires ongoing budget allocation and manual bid management, providing quick results. The catch is that results stop when spending stops. Common SEM platforms include Google Ads, Bing Ads, and the Google Search Network.

You may be thinking, “Why are we going over this again? Get to the good stuff.” Relax. Here’s where 2026 throws a wrench in these neat definitions: the boundaries are blurring.

Search marketing in 2026 now also includes AEO (optimizing for AI citations and answer engines). Traditional SEO tactics such as keyword research and content optimization still matter for this, but now you’re also optimizing for how ChatGPT, Perplexity, and Google’s AI Overviews decide what to cite. As we explored in our article on how SEO KPIs are changing, the metrics that defined success in traditional SEO (rankings, impressions, clicks) are being supplemented by new AI-specific KPIs.

At the same time, SEM is expanding beyond Google Ads to include (eventually) paid placements in AI chat interfaces. While fully developed paid AI search doesn’t exist at scale yet, the infrastructure is definitely being built. ChatGPT’s partnerships with Booking.com and Spotify are proof of concept that brands can integrate directly into AI platforms, creating new paid search opportunities.

Why both still matter:

• SEO builds long-term authority, captures users at every funnel stage, and creates compounding returns over time.
• SEM delivers immediate visibility, captures high-intent commercial searches, and provides predictable results.

Together, they create a comprehensive search presence that maximizes visibility regardless of where your audience searches

The winning strategy in 2026? Don’t choose between them. Use both, and expand into AI optimization alongside traditional tactics.

The State of Traditional Search in 2026

Before we dive deep into AI search (I know you’re eager to get there), let’s talk about what’s happening with traditional search engines. Spoiler: Google isn’t dead, but it has changed dramatically.

Google’s Evolution (AI Overviews & SERP Changes)

If you’ve been an SEO for more than a year, you’ve noticed that Google’s search results look almost unrecognizable compared to a few years ago. AI Overviews now dominate informational queries, featured snippets compete for attention with organic results, and the traditional “ten blue links” are often buried below the fold.

Then there’s the num=100 update from September 2025, where Google removed the ability to view rankings beyond the top 10 results. For SEO tools and rank tracking software, this meant a complete recalibration. For marketers, it meant accepting that impressions beyond position 10 essentially don’t exist anymore (and honestly, 91.5% of people never even click to page 2 of Google, so this just made it official).

So… what now? Here’s what’s (still) working in 2026 on Google:

1. H-E-E-A-T signals: Helpfulness, Experience, Expertise, Authoritativeness, and Trustworthiness matter more than ever. Google wants to see that real humans with genuine expertise created your content.
2. User experience excellence: Core Web Vitals, mobile optimization, and responsive design aren’t optional (were they ever, though?); they’re table stakes.
3. Structured data and schema markup: Help Google understand your content by explicitly telling it what everything means.
4. Content that demonstrates real expertise: AI-generated fluff won’t cut it. Google (and users) can tell the difference between genuine insight and regurgitated information.

The key insight here is that traditional SEO fundamentals still matter tremendously. In fact, they matter more than ever, because they’re also the foundation for AI search visibility. As research from Goodie shows, SERP rankings absolutely do matter for AI visibility; don’t be lazy trying to skip traditional SEO and jumping straight to AEO.

Bing’s AI-First Approach

Let’s talk about Bing for a second (yes, really). While everyone was snoozing on Microsoft’s search engine, Bing made some pretty aggressive moves in the AI search space.

By integrating ChatGPT early into Bing Chat (now called Copilot), Microsoft positioned Bing as an AI-first search experience before Google even launched AI Overviews. For marketers who’ve historically ignored Bing (especially in B2B and enterprise contexts, where Microsoft products dominate) this should sound the alarm of a genuine opportunity.

The reality is that Bing’s market share is still small compared to Google, but it’s growing in specific demographics (particularly enterprise users and Microsoft ecosystem users). If your target audience skews toward business professionals using Microsoft products daily, Bing deserves a place in your search strategy.

AI Search Marketing: The New Frontier

Alright, here’s where things get really interesting (and slightly chaotic, but in that fun way that makes you question every strategy decision you’ve ever made).

Understanding AI Search Engines (AEO Fundamentals)

Let’s get specific about the major players reshaping search:

• ChatGPT leads with 800 million weekly active users as of October 2025, making it one of the most widely used AI platforms in history. According to Goodie’s AI search market share research, ChatGPT drives 89% of measured AI referrals— meaning that when AI search traffic does click through to websites, it overwhelmingly comes from ChatGPT.
• Perplexity has a smaller user base but demonstrates incredible efficiency. With an REI (Referral Efficiency Index) of 6.2x, Perplexity users are far more likely to click citations than users on any other platform. If you want to prioritize traffic stemming from AI search, Perplexity should be a top priority.
• Gemini benefits from Google integration; the app alone also commands over 650 million monthly active users. This platform is particularly strong for queries that benefit from Google’s knowledge graph and real-time information.
• Claude focuses on long-form reasoning and nuanced responses, making it valuable for complex problem-solving and in-depth research.

How do they differ from traditional search? The shift is fundamental, not superficial. Traditional search engines answered keyword-based queries with ranked lists of links. AI search engines handle conversational queries (“what’s the best project management tool for a remote team of 12 people in the healthcare industry?”), generate citation-based answers synthesized from multiple sources, and support natural follow-ups without restarting the query.

The kicker is this: user behavior has shifted accordingly. According to Goodie’s AI search statistics, 30% of informational queries are already bypassing traditional search in favor of AI interfaces. Users prefer AI search for complex questions requiring synthesis, exploratory research with multiple follow-ups, and getting quick answers without clicking through multiple sites.

AEO: Answer Engine Optimization Explained

AEO is the practice of optimizing content to be cited, referenced, and surfaced by AI search engines and LLMs. The key visibility factors (according to the AEO Periodic Table) are as follows:

• Content quality and depth: Comprehensive, expert-level content that actually answers questions thoroughly (not surface-level regurgitation).
• Structured data and semantic markup: Schema that helps AI systems understand context and relationships.
• Authoritative sources and citations: Linking to credible sources and being linked to by authoritative domains.
• Brand authority signals: Recognition across multiple platforms, mentions in trusted publications, genuine expertise.
• Technical optimization: Fast load times, clean crawlability, and AI crawler-friendly site architecture.

Here’s the paradox that trips up a lot of marketers: you cannot skip traditional SEO to go straight to AEO. Research from Goodie consistently shows that domains ranking well in traditional search also perform better in AI citations. The foundation matters.

Think of it this way: traditional SEO is like building a house with a solid foundation, walls, and a roof. AEO is adding solar panels and smart home technology. Any way you slice it, you definitely need the house first.

Measuring Success in AI Search

This is where things get even trickier, because although SEO lays the foundation for AEO, AI search success looks different from SEO success (and if you’re feeling frustrated by the lack of clear metrics, trust me, my number brain and I feel you; we’re all figuring this out together).

Here are the primary new metrics to track (for now):

1. Citation frequency: How often does your brand appears in AI responses across different platforms? Psst; tools like Goodie track this automatically.
2. LLM referral traffic: To do this, set up custom channel groupings in GA4 to properly attribute traffic from chat.openai.com, perplexity.ai, and other AI platforms.
3. Branded search lift: Are people seeing your brand (uncited) in AI responses and then searching for you directly on Google? To find out, track branded query volume.
4. Engagement quality over click quantity: When AI referral traffic does arrive, is it highly engaged? Higher time on page and conversion rates can offset lower click volumes.

But that’s not the end of it; there’s also the attribution challenge: As we explored in our piece on The Great Decoupling, the customer journey is now fragmented across platforms. A user might see your brand mentioned in ChatGPT, remember you a week later, search for you on Google, and then convert. Traditional attribution models completely miss this journey.

The solution isn’t perfect measurement (as frustrating as it is, that’s actually borderline impossible right now). It’s a holistic measurement that tracks brand health, engagement quality, and business outcomes rather than obsessing over last-click attribution.

The Future of Paid Search: AI Advertising Is Coming

Here’s where things get speculative (but in a very informed, educated-guess kind of way). Paid search in AI platforms doesn’t fully exist at scale yet, but the writing is on the wall. The infrastructure is being built, and smart marketers are preparing now.

Early Signals: ChatGPT’s Brand Partnerships

ChatGPT’s integrations with Booking.com (for travel planning), Spotify (for music recommendations), and Shopify (for eCommerce) are more than “user convenience features”; they’re proof of concept for how paid placements in AI chat interfaces could work.

When a user asks ChatGPT, “What hotel should I book in Austin for SXSW?” and receives Booking.com recommendations, that’s not organic visibility… it’s a commercial partnership. Similarly, Spotify gets preferential placement when users ask for music suggestions.

These partnerships demonstrate that AI platforms are actively building commercial relationships with brands, creating monetization opportunities beyond API access fees. The implications for marketers are massive.

What Paid AI Search Might Look Like

Based on current trends and platform developments (and more educated guesses), here’s what we expect:

• Sponsored citations: Brands will likely eventually be able to pay to be recommended in AI responses for relevant queries, similar to how Google Ads work (just integrated into conversational flows). Imagine asking for “best CRM software for small businesses” and seeing a clearly labeled sponsored recommendation alongside organic citations.
• Premium placement in chatbot interfaces: Featured positions in carousels, highlighted product cards, or preferred recommendations marked as partnerships.
• Conversational ads: Native ad formats woven into AI chat experiences that feel helpful rather than disruptive. The best AI advertising won’t feel like advertising at all; it’ll feel like a personalized recommendation from a knowledgeable advisor.

Important caveat: This is all still emerging. No platform has fully launched paid AI search at scale (as of December 2025), but multiple AI companies are testing commercial programs. The smart move is to prepare now, so you’re ready when these channels open up.

Preparing for Paid AI Search

Even though paid AI search isn’t fully here yet, there’s plenty you can do to position yourself for success:

1. Build organic presence first: You need to be citation-worthy before you can pay for placement. Focus on creating genuinely valuable, authoritative content that AI systems want to cite.
2. Monitor platform announcements: Watch for partnership programs from ChatGPT, Perplexity, Gemini, and other major AI platforms. Join waitlists when available.
3. Budget allocation: Consider setting aside 10-15% of your search marketing budget for testing paid AI placements when they become available. First movers will have advantages similar to early Google Ads adopters.
4. Skills transfer: Your current SEM expertise (bidding strategy, audience targeting, and conversion tracking) will almost certainly translate to AI advertising. The platforms will be new, but the principles remain similar.

The brands that wait until paid AI search is mature and crowded will pay higher costs and face fiercer competition. The brands that test early, learn fast, and iterate will secure advantageous positions.

Building a Future-Proof Search Marketing Strategy

As much as I love speculating, enough theory. Let’s talk about what to actually do (because at some point, we all need to translate insights into action plans that make our managers and stakeholders happy; you’re welcome in advance).

The Multi-Surface Search Approach

The biggest mistake I see marketers make right now? Choosing between traditional search and AI search as if it’s an either/or decision. Spoiler alert: it’s not.

1. Don’t abandon traditional search: Google still drives the majority of search traffic for most brands. Your traditional SEO and SEM fundamentals remain crucial.
2. Expand intelligently: Layer in AI search optimization where it makes sense for your audience. If your customers use ChatGPT for research (and statistically, 23% of US adults have used ChatGPT), you need to be visible there.
3. Consider social search: Reddit, TikTok, and Instagram are search engines for Gen Z and increasingly for Millennials. If your audience is under 40, social search optimization isn’t optional.

The bottom line is, integration is key: Your SEO, AEO, and SEM strategies should inform each other. The keyword research feeding your SEO should also guide your AEO content structure. The high-converting landing pages from SEM should incorporate schema markup that helps AI citations.

Content Strategy for 2026 Search

I’ll keep this section short (we writers spend our days reading, so I’ll lighten the load); let’s talk about what actually works right now:

1. Depth over breadth: One comprehensive, expert-level guide beats ten shallow blog posts every time. AI systems and traditional search algorithms both reward thoroughness. Create content that genuinely answers questions completely, not content that aims for word count.
2. Authority signals matter more: H-E-E-A-T isn’t just a Google thing anymore. AI systems evaluate source credibility, author expertise, and content authority. Include author bios with credentials, cite credible sources, and demonstrate real expertise rather than regurgitated information.
3. Structured content: Use clear headers (H1-H4) that directly answer questions, implement proper semantic HTML for both traditional and AI crawlers, and create FAQ sections that AI systems can easily parse and cite.
4. Citation-worthy stats: Original research gets cited consistently. This is why we invest heavily in research at Goodie: proprietary data creates citation opportunities that competitors can’t replicate.
5. User experience is non-negotiable: As we covered in our article on UX and SEO, user experience directly impacts search visibility. Fast load times, mobile optimization, and intuitive navigation benefit both human users and AI crawlers.

Technical Foundations That Work Across All Search

In a rare case of “this one is staying mostly the same,” some technical optimizations benefit every type of search simultaneously:

1. Schema markup and structured data: Helps traditional search engines understand your content and helps AI systems parse information accurately. Implement Product schema for eCommerce, Article schema for content, Organization schema for brand information, and FAQ schema for question-based content.
2. Site speed and Core Web Vitals: Important for traditional SEO rankings and for AI crawler efficiency (more on this in a second).
3. Mobile optimization: Most search (both the traditional and AI varieties) happens on mobile devices. Responsive design isn’t optional.
4. Crawl budget optimization: This one’s crucial and often overlooked. As we discussed in our article on faceted navigation SEO issues, don’t waste crawl budget on duplicate or low-value pages.

Here’s why this matters for AI: LLM crawlers are notably less powerful than Google’s crawlers. They have more limited crawl budgets and miss pages more easily unless specifically pointed to them. Optimizing your crawl budget benefits Google and improves your chances of being indexed by AI systems. Clean URL structures, proper canonicalization, and strategic noindex directives all help.

What Success Looks Like in 2026 (Redefining Search Marketing KPIs)

Remember that scenario from the introduction, where clicks were down, but conversions were up? Let’s talk about how to explain that to your boss (and yourself).

Moving Beyond Clicks

The old metrics dashboard focused heavily on rankings, impressions, and organic traffic. These metrics still provide value, but they’re directional indicators rather than definitive success measures.

The new metrics dashboard incorporates:

Traditional Metrics

• Rankings (directional indicator of visibility)
• Impressions (directional indicator of reach)
• Organic traffic from Google and Bing

AI Search Metrics

• Citation frequency across ChatGPT, Perplexity, Gemini, Claude
• LLM referral traffic properly attributed in GA4
• Brand search lift (people discovering you in AI, then searching directly)

Paid Metrics

• ROAS (Return on Ad Spend)
• Conversion rates from paid channels
• Quality Score and impression share

Universal Metrics

• Engagement metrics (time on page, scroll depth, pages per session)
• Conversion rates and assisted conversions
• Customer lifetime value and revenue attribution

If you’ve read our article on how SEO KPIs are changing, you already know this: the metrics haven’t disappeared, they’ve evolved. Context matters more than absolute numbers.

Attribution Complexity

Here’s the uncomfortable truth: accept that the funnel is fragmented. In the time of The Great Normalization, users don’t follow linear paths anymore. They bounce between traditional search, AI platforms, social media, and direct navigation in unpredictable patterns (humans, amiright?).

To cut through the chaos, here’s a practical framework for holistic measurement:

• Track visibility holistically: Where does your brand appear across all search surfaces? Is it on traditional SERPs, in AI Overviews, ChatGPT citations, Perplexity recommendations, Reddit discussions, or TikTok search results? Map your complete visibility footprint.
• Measure business outcomes: Are you driving qualified leads? Are those leads converting? Is revenue growing? Sometimes the best metric is the simplest: is the business getting results?
• Monitor brand health: Are people finding and remembering you? Track branded search volume, direct traffic trends, and brand mention sentiment across platforms.

The winning approach isn’t perfect attribution (if you still believe it is, I’d like one ticket to whatever fantasy land you live in). It’s understanding that visibility drives awareness, awareness drives consideration, and consideration drives conversion; even if the path between them is messy.

Common Search Marketing Mistakes to Avoid in 2026

Let’s rapid-fire through the mistakes I see most often (so you can avoid them and be the genius that you are):

1. Ignoring AI search entirely: Your competitors are already optimizing for it. By the time AI search is “mainstream,” you’ll be playing catch-up with established players who’ve spent years building citation authority.
2. Abandoning traditional SEO: It’s still the foundation; you can’t skip steps. The marketers succeeding in AI search all built strong traditional SEO first.
3. Obsessing over vanity metrics: Rankings and clicks tell an incomplete story in 2026. Focus on engagement, conversions, and business outcomes.
4. Not adapting measurement: Using 2022 KPIs for 2026 search leads to misread performance. Update your dashboards, educate stakeholders, and redefine success metrics.
5. Siloing strategies: SEO, SEM, AEO, and social media should work together, not in isolation. Break down team silos and create integrated strategies.
6. Forgetting the human element: AI-generated content without genuine expertise won’t win in traditional OR AI search. Both reward authentic expertise and original insights.

Tools & Resources for Modern Search Marketing

You didn’t actually think I’d monologue for this long and then leave you without a resource list, did you?

• Traditional SEO: Ahrefs (keyword research and backlink analysis), Semrush (competitive analysis and rank tracking), and Google Search Console (performance monitoring and indexing insights).
• AI visibility tracking: Goodie for monitoring citations across ChatGPT, Perplexity, Gemini, and Claude (yes, shameless plug, but it’s genuinely the best tool for this).
• Analytics and attribution: GA4 with custom channel groupings to properly track AI referral traffic (there’s a guide for how to set that up here).
• Paid search platforms: Good ol’ Google Ads and Bing Ads for traditional paid search (at least until the inevitable happens).

Knowledge resources:

• NoGood blog for search marketing strategy and case studies
• Goodie research for AI search data and visibility insights
• Search Engine Land for breaking industry news

Conclusion: The Future Is Already Here

If you’re feeling overwhelmed by how much search has changed, I urge you to delay the panic attack and hear me out: the good news is that the fundamentals haven’t disappeared. They’ve just expanded.

Search marketing in 2026 has evolved beyond Google rankings and paid ads. AI search engines have fundamentally changed how users find information, creating new opportunities and challenges for brands. The winning strategy combines traditional SEO foundations, emerging AEO tactics, and (soon) paid AI placements.

Success metrics have evolved: citation frequency, engagement quality, and brand authority matter as much as clicks. The funnel is fragmented, attribution is messy, and the platforms keep changing. But underneath all that complexity, the core principles remain: create genuinely valuable content, build authentic authority, meet users where they’re searching, and measure what actually matters to your business.

The marketers who win in 2026 are the ones who:

• Build strong traditional SEO foundations that support all other efforts
• Adapt content strategy for AI citations and conversational search
• Stay ready for paid AI search opportunities as they emerge
• Measure success holistically across all search surfaces
• Remain flexible and keep learning as platforms evolve

One final note: search marketing isn’t dead. It’s just evolved into something bigger, more complex, and honestly, more interesting than it’s ever been. The opportunity is massive for marketers willing to adapt.

And if you’re reading this and thinking, “Wow, I really need to future-proof my search strategy,” NoGood’s search marketing team specializes in integrated SEO, AEO, and SEM strategies that work across traditional and AI search engines.

Let’s talk about where your brand shows up in 2026.

The post The Future of Search in 2026: What Search Marketing Actually Means Now appeared first on NoGood™: Growth Marketing Agency.