AEO

Answer Engine Optimization vs. SEO: What Actually Changes

By Kathy P. Carr · 2026-10-04 · 3 min read

What AEO and GEO actually mean

Answer engine optimization (AEO) is the practice of shaping a page so that a system which produces answers, rather than a list of links, can lift a clear and correct passage from it. Generative engine optimization (GEO) is the same idea aimed at generative AI products that synthesize a response from several sources. Both sit on top of ordinary search optimization. They change how you write and structure a page far more than they change how it is delivered to a crawler.

That framing matters because it keeps effort pointed at the right place. Most of what makes a page quotable is not a trick. It is a direct answer, a logical structure, accurate dates and sources a reader can check.

What Google says you need to do

Google's own documentation on AI features is unusually blunt. It states that there are no additional requirements to appear in AI Overviews or AI Mode, and no other special optimizations are necessary. It also says there is no special schema.org structured data that you need to add. A page needs to meet the normal Search technical requirements: it must be indexed and eligible to be shown with a snippet.

Two practical consequences follow. First, if a page is blocked, set to noindex or otherwise not indexable, no amount of answer-first writing will rescue it. Second, the controls you already have apply to AI features as well: the nosnippet, data-nosnippet, max-snippet and noindex directives limit how much of a page can be shown. Google also reports AI feature traffic inside the standard Web search type in Search Console, not as a separate product.

What the research on generative engines found

The term GEO comes from a paper by Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan and Ameet Deshpande, presented at KDD 2024. The authors built a benchmark of diverse queries and the web sources relevant to them, and tested whether changes to content could improve how visible a source is inside a generative engine's answer. Their headline claim is that GEO can boost visibility by up to 40% in generative engine responses, and that how well a strategy works varies across domains.

Read that carefully. It is an academic result on a benchmark, not a guarantee for any individual website, and the authors themselves point to the need for domain-specific approaches. The sensible takeaway is directional: content changes can influence whether a source is used in an answer, and it is worth testing them on your own topics rather than assuming a universal recipe.

A practical AEO checklist

• Answer first. Put a direct, self-contained answer in the opening lines, then expand. A reader or a machine can quote it without needing the rest of the page.
• One question per heading. Use headings that match how people phrase the question, so each section can stand on its own.
• Show your sources. Link to primary documentation and research for factual claims, and name the publisher.
• Keep dates honest. Google says it uses a sitemap lastmod value if it is consistently and verifiably accurate, so update it only when the content meaningfully changes.
• Make the author clear. A named author with a profile link helps readers judge who is speaking.
• Stay crawlable. Confirm that the crawlers you want to reach the page are not blocked in robots.txt and that the page returns a normal 200 response.

What to stop doing

Do not build pages around markup that Google has said is not needed. FAQ structured data is a useful example: according to Google's documentation changelog, the FAQ rich result is no longer shown in Google Search results, and the feature documentation has been removed. You can keep question-and-answer sections because readers like them, and the markup is harmless when it matches visible content, but it should not be treated as a ranking lever.

Likewise, avoid chasing a single claimed hack. Because the research shows results vary by domain, and because Google is explicit that standard SEO fundamentals apply, the durable investment is original, accurate, well-structured content that earns its citations.

The bottom line

AEO is best understood as disciplined editorial craft layered on sound technical SEO. Make the page eligible, make the answer obvious, make the evidence checkable, and measure what happens.

Frequently asked questions

Is AEO different from SEO?

AEO builds on SEO. The technical requirements are the same, since a page must be indexed and eligible for a snippet, but AEO puts extra emphasis on direct answers, clear structure and verifiable sources so that a passage can be quoted.

Do I need special schema markup to appear in Google's AI Overviews?

No. Google's documentation says there are no additional requirements and no special schema.org structured data needed to appear in AI Overviews or AI Mode.

Does GEO really improve visibility in AI answers?

A KDD 2024 paper reports visibility improvements of up to 40% in generative engine responses on its benchmark, and notes that the effect varies by domain. It is evidence worth testing against, not a promise for any single site.

Sources

1. AI features and your website — Google Search Central
2. GEO: Generative Engine Optimization (Aggarwal et al., KDD 2024) — arXiv
3. Build and submit a sitemap — Google Search Central
4. FAQ structured data — Google Search Central

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