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Answer Engine Optimization (AEO)

Also spelt answer engine optimisation. GEO, LLMO and AI SEO are other names for the same work.

LH
Lawrence Hitches
17 September 2026 3 min read

Definition

Answer engine optimization (AEO) is the practice of making your content the direct answer a search engine or AI assistant gives, rather than one link in a list. The name grew up around featured snippets and voice assistants. Today it is used for the same work as GEO, LLMO and AI SEO.

Is answer engine optimization different from GEO, LLMO and AI SEO?

Answer engine optimization is not meaningfully different from GEO, LLMO or AI SEO. No standards body defines any of the four terms, and vendors draw the lines between them differently. The goal is the same in each case: be the source the answer comes from.

NameStands forWhere you mostly see it
AI SEOSearch engine optimisation for AI searchPractitioners and agencies
GEOGenerative engine optimizationThe 2023 research paper that coined it, and vendors since
AEOAnswer engine optimizationThe featured snippet and voice assistant era, now AI search
LLMOLarge language model optimizationVendor glossaries

The label matters less than the method. Google's documentation says appearing in its AI features needs no additional requirements beyond being indexed and eligible for a snippet, which is the same foundation every one of these names rests on.

How does answer engine optimization work?

Answer engine optimization works by putting a complete, quotable answer directly under the question it answers. An engine assembling a reply looks for a passage that settles the question on its own, so a page that opens each section with the answer gives it something to lift.

In practice that means question-style headings, the answer in the first sentence below each one, and facts stated plainly enough to quote. It is the same page structure that has won featured snippets for years.

How do you check whether answer engine optimization is working?

You check answer engine optimization by asking the engines your customers use the questions they ask, then recording who gets named. Run the same set of questions each month so the results are comparable, and note the sources each answer cites.

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