Callan Pyfer
Founder & Lead SEO and GEO Strategist
Search has split in two. There is still the traditional results page with its ten blue links, and now there is a growing share of searches that never produce a link at all, just a direct, AI generated answer. AI search visits grew 42.8% year over year, climbing from 15.6 billion to 27.4 billion visits, while traditional Google search visits grew just 2.4% over the same period. AI search visitors are also roughly 4.4 times more valuable than the average organic visitor, according to industry benchmarking.
If your visibility strategy only accounts for the first kind of search, you are optimizing for a shrinking share of demand. This guide explains exactly what AI search optimization, AEO, and GEO mean, how they relate to E-E-A-T and topical authority, and how a business actually builds all three at once instead of chasing them separately.
AI search optimization is the umbrella term for making your brand, products, and expertise discoverable and citable across AI powered search experiences, including Google AI Overviews and AI Mode, ChatGPT, Perplexity, Gemini, and Microsoft Copilot. It is not a replacement for SEO. It is an extension of it, built on the same foundation of technical health, quality content, and authority, but aimed at a different output: being the source an AI system trusts enough to reference by name. It is not a replacement for SEO. It is an extension of it, built on the same foundation of technical health, quality content, and authority, but aimed at a different output: being the source an AI system trusts enough to reference by name.
Google's own guidance on AI features and your website is direct on this point: there are no secret requirements to appear in AI Overviews or AI Mode beyond the same fundamentals that have always mattered for organic visibility, applied more rigorously. Search Engine Land's guide to how AI Overviews work adds important nuance: Google's systems often use a retrieval based approach that pulls specific passages best suited to answer a query, rather than simply summarizing whichever page ranks first, which is exactly why content structure matters as much as ranking position.
AI search optimization is generally broken into two more specific disciplines: AEO and GEO, alongside related terms like LLM optimization (LLMO) and AI optimization (AIO) that describe largely the same underlying goal from slightly different angles.
AEO is the practice of structuring content so AI answer engines, including ChatGPT, Perplexity, Google AI Overviews, and Gemini, cite it directly inside their generated response. Instead of competing purely for a ranking position, AEO competes for the sentence itself: the specific claim the AI states, and the source it credits for that claim.
Where SEO measures rankings and clicks, AEO measures citations and mentions. Answer engines tend to favor content that:
Our team's own answer engine optimization services are built around exactly these mechanics, and we track the practical wins and losses in How to Rank for AI Shopping Agents and How Brand Mentions Drive AI Search Visibility.
GEO is the broader practice of shaping your content and brand presence so generative AI platforms, including ChatGPT, Gemini, Perplexity, and Google's AI Overviews, surface, reference, or recommend you when generating an answer. Some use GEO and AEO interchangeably. The more useful distinction is scope: AEO typically focuses on optimizing a specific piece of content to be cited in a specific answer, while GEO is the wider strategy of building the entity signals, structured data, and third party validation that make a brand a trustworthy source across generative platforms in general.
We break down the practical side of building a GEO strategy in Preparing for GEO in 2026, how to actually measure it in Measuring GEO: Trackable Metrics for Generative Engine Optimization, and how to master the discipline end to end in Mastering Generative Engine Optimization in 2026. See our full GEO services and GEO audit for how this translates into an actual engagement.
| Discipline | Optimizes for | Success looks like |
|---|---|---|
| SEO | Ranking in traditional organic search results | Page one rankings, organic clicks, indexed pages |
| AEO | Being cited inside a direct AI generated answer | Citations and mentions inside AI responses |
| GEO | Being the trusted source generative platforms reference | Brand mentions and recommendations across AI platforms |
| Agent optimization | Being usable by autonomous AI agents taking action | Completed bookings, comparisons, and purchases initiated by agents |
In practice, these are not four separate projects competing for budget. They are one strategy viewed from four angles, all resting on the same foundation of technical health, structured data, and earned authority. We wrote a full breakdown of why you need SEO, GEO, and AEO working together, not in isolation, in SEO, GEO, AEO: Why Search Visibility Needs All Three, and we cover the agent side specifically in Optimizing Your Website for AI Agents.
Whether SEO itself is still worth investing in is a question we hear constantly, and the honest answer is that it remains the foundation everything else is built on. We address the "is SEO dead" question directly in Is SEO Dead or Evolving? Navigating Google's AI Powered Search, Is SEO Dead in 2026? No, But the Brands Still Playing by 2020 Rules Are, and From SERPs to Selection: Modern SEO Is Being Chosen, Not Seen. If agents completing tasks on your site is part of your visibility strategy too, see our companion guide on optimizing your website for AI agents.
Every one of these disciplines runs into the same gatekeeper: E-E-A-T, meaning Experience, Expertise, Authoritativeness, and Trustworthiness. Google's own guidance on creating helpful, reliable, people-first content makes clear that its automated ranking systems are built to reward content that demonstrates real experience and expertise, not content engineered purely to rank. AI answer and generative engines lean on the same underlying logic. They cite sources that look credible: consistent authorship, verifiable expertise, and independent validation from other authoritative sites, because citing an untrustworthy source is a reputational risk for the AI platform itself.
Breaking E-E-A-T down into its four components:
A Search Engine Land breakdown of E-E-A-T and its role in ranking underscores the same point that applies to generative engines: authority has to be earned externally, not just claimed on your own site. That is why link building and digital PR are not legacy SEO tactics you can skip in an AI search world. They are evidence. Our link building services exist specifically to generate that third party validation, and we go deeper on how this plays out inside AI generated answers specifically in E-E-A-T in the AI Answer Era and Google's Latest Core Update Makes Clear: Intent and E-E-A-T Drive SEO Success.
E-E-A-T describes what a page needs to demonstrate. Topical authority describes the broader pattern that proves it consistently. HubSpot's explanation of topic clusters and Semrush's guide to topic clusters both describe the same underlying model: a comprehensive pillar page covering a core topic, supported by a network of focused cluster pages addressing related subtopics and questions, all interlinked so search engines and AI systems alike can trace the depth of your coverage.
A brand with one well optimized page on a topic looks like a lucky ranking. A brand with a genuine content cluster, dozens of interlinked pages addressing every angle of a subject, looks like an authority. That distinction increasingly determines who gets cited by an answer engine and who gets ignored. This is the exact model behind our content strategy and SEO briefs process, and it is reflected across our own site, from foundational service pages like SEO services and technical SEO services down to specific, question driven posts like If AI Is Choosing Who Gets Seen and The Eligibility Era: Why Getting Found Online Now Means Getting Chosen by AI.
Content and authority get you most of the way there, but AI systems still need a clean technical foundation to actually extract and trust your content. That means structured data using schema.org markup for products, services, reviews, and FAQs, deliberate crawler access decisions for bots like GPTBot and OpenAI's other crawlers, fast, server rendered pages, and consistent business information across your site and third party listings. We cover this technical layer, along with structured data changes Google has made specifically for forum and Q&A style pages, in Google Just Updated Structured Data for Forums and Q&A Pages and Schema Markup, Structured Data, and AI Search Visibility in 2026.
AEO and GEO priorities shift depending on the industry. You can see the full range of verticals we cover on industries we serve. Ecommerce brands need product level structured data and comparison ready content; see ecommerce SEO and ecommerce retail SEO. Healthcare, legal, and financial services businesses operate in YMYL categories where E-E-A-T carries extra weight; see healthcare SEO services, legal services SEO, and financial services SEO. Multi-location and local brands need consistent, structured location data across every listing; see local SEO services and a local SEO audit. Every one of these approaches pairs with conversion rate optimization work to make sure increased AI visibility actually turns into booked business, and you can see the results across industries on our case studies page.
AI Overviews have already surged across multiple industries at once, not gradually. We tracked this shift in Google AI Overviews Just Surged Across Nine Industries, and the pattern is consistent: brands that already had strong E-E-A-T and topical authority signals in place got absorbed into AI answers immediately, while brands without them simply disappeared from view. Every month spent without a deliberate AEO and GEO strategy is a month competitors spend building the authority signals AI systems are actively rewarding right now. We quantify exactly what that delay costs in The Window Is Closing: Why Every Month You Wait to Invest in SEO and GEO Costs You Years of Visibility and in our cost of waiting infographic.
You can read more about our team and approach on our about SEOMA page. Understanding the terminology is step one. Executing across SEO, AEO, and GEO simultaneously, with the technical foundation, topical authority, and external validation each one depends on, is where most in-house teams and generalist agencies fall short.
SEOMA builds all of it into a single strategy instead of treating each discipline as a separate line item:
Start with our free SEO audit, a general SEO audit, or a dedicated GEO audit to see exactly where your current visibility stands across traditional and AI search, review our GEO services pricing, or contact SEOMA directly to talk through a strategy built around your industry and your current authority gaps.
AI search optimization touches nearly everything else we write about. These related resources dig deeper into the surrounding pieces:
SEOMA builds SEO, AEO, and GEO into one integrated strategy that earns visibility across every search surface. Contact us to scope an engagement built around your industry, or explore our SEO, GEO, and AEO programs.
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Callan Pyfer
Callan Pyfer is the Founder and Lead SEO and GEO Strategist at SEOMA, with more than eight years in search across SEO, GEO, and AEO. He previously served as Director of SEO at the Consumer Financial Protection Bureau and specializes in high-trust YMYL verticals including healthcare, dental, legal, and financial services. More at callanpyfer.com.
Talk to the team about your GEO and AEO readiness on the contact page, or read more on the SEOMA blog.