AEO, GEO, SEO
For the past two years, the digital marketing world has been splitting hairs between three acronyms: SEO (search engine optimization), AEO (answer engine optimization), and GEO (generative engine optimization). Consultants built entire service lines around the distinction. Conference talks positioned AEO and GEO as the “next evolution” beyond traditional SEO.
On May 15, 2026, Google published an official guide titled Optimizing Your Website for Generative AI Features on Google Search and put the debate to rest in one sentence: “From Google Search’s perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO.”
That’s not a blog post from a Googler sharing personal opinions. That’s documentation, sitting in the Search Central docs alongside the SEO Starter Guide and the Search Essentials.
What Google Actually Said
The guide explains how Google’s generative AI features (AI Overviews, AI Mode) work under the hood. Two mechanisms matter:
Retrieval augmented generation (RAG). Google’s AI features don’t operate from some separate AI index. They pull from the same search index that traditional results use. Googlebot crawls your HTML, indexes it, and the AI layer retrieves from that index to generate responses. If your page isn’t indexed, it doesn’t exist to the AI features either.
Query fan out. When a user submits a complex query, the AI model generates multiple related queries behind the scenes to gather broader context. Google’s systems then synthesize results from across those queries. This means your content doesn’t need to match a query word for word. Google explicitly states that their AI systems understand synonyms and general meaning well enough that you don’t need to chase every long tail keyword variation.
What Google Says You Don’t Need to Do
The guide includes a mythbusting section that directly addresses several popular AEO/GEO tactics:
llms.txt files and “special” markup. Google says you don’t need to create machine readable files, AI text files, markup, or Markdown versions of your pages. They acknowledge that Google can crawl and index many file types beyond HTML, but that doesn’t mean those files receive any special treatment from AI systems.
“Chunking” content into small pieces. There’s no requirement to break pages into tiny sections for AI comprehension. Google’s systems can parse multiple topics on a single page and surface the relevant piece to users.
Rewriting content specifically for AI systems. You don’t need a different writing style for AI search. The systems understand meaning, not just exact keyword matches.
Seeking inauthentic “mentions” across the web. Google flags this directly, noting that their core ranking systems prioritize high quality content while spam systems filter the rest. Their AI features depend on both.
Overfocusing on structured data. Structured data isn’t required for generative AI search, and no special schema.org markup exists for it. Google still recommends structured data for rich results in traditional search, but it’s not an AI unlock.
What This Means in Practice
If you’ve been doing solid SEO (clean technical structure, original content, good page experience, proper indexing) you’ve been doing the work that matters for AI search all along.
The guide’s actual recommendations boil down to three things. First, create non commodity content with a unique point of view. Google uses a pointed example to illustrate the difference: generic “7 Tips for First Time Homebuyers” content versus something specific like a first person account of waiving a home inspection and what happened with the sewer line. The distinction is between content anyone could write and content that comes from real experience.
Second, maintain a clean technical foundation. Meet the Search technical requirements, ensure your site is crawlable, use semantic HTML where possible, provide a good page experience across devices.
Third, keep your business information current through Merchant Center and Google Business Profiles where relevant.
That’s it. No secret AI optimization layer. No new file formats. No special markup language.
The One New Signal Worth Watching
The guide does introduce one forward looking section: agentic experiences. Google acknowledges that AI agents (autonomous systems that perform tasks on behalf of users, like booking reservations or comparing products) are an emerging category. These browser agents interact with websites by analyzing visual renderings, inspecting DOM structure, and interpreting accessibility trees.
Google points to semantic HTML and accessibility as the preparation path, and references the emerging Universal Commerce Protocol (UCP) as a protocol that will allow Search agents to do more. This is early stage, but it signals where the next real shift might come from: not from how AI reads your content, but from how AI navigates your site to take action.
To Remember
Google has made the official position clear. AEO and GEO are not separate disciplines. They’re SEO. The fundamentals haven’t changed. The teams and consultants who positioned these as distinct specialties were solving for a distinction that Google itself doesn’t recognize.
The work that matters is the same work that has always mattered: original content, clean technical execution, and a site that serves its visitors well.
