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AEO

Also known as: answer engine optimization, featured snippet optimization, voice search optimization

Definition

AEO is optimising for direct answers: a page is built so a search engine or voice assistant can extract a ready response to a specific question, whether that is a short paragraph under a heading, a list of steps, a table or a marked-up FAQ block.

AEO predates GEO and solves a narrower problem: getting into extractable blocks such as a Yandex quick answer, a Google featured snippet, a voice assistant response or a people-also-ask carousel. The extraction mechanic is simple: the engine looks for a fragment on the page that answers the question completely and fits the slot. Format therefore matters more than length. A heading phrased as a question, then a 40 to 60 word paragraph with the direct answer, then the detailed explanation below is a structure that is easy to extract from. Three paragraphs of throat-clearing before the point is a structure with nothing to extract.

The difference between AEO and GEO is subtler in practice than in the articles. AEO is about extracting a ready fragment from one document; GEO is about a generative model synthesising an answer from several sources and naming you among them. Part of the work is shared: heading structure, direct answers, dated facts with numbers, markup, freshness. Part differs: GEO additionally depends on third-party mentions and AI crawler access. Many contractors use the terms interchangeably, which is fine when the same clear work sits behind both and not fine when it becomes two invoices for one job.

An honest caveat about the economics. Landing in a quick answer raises visibility but often lowers clicks, because the user got the answer and went nowhere. For informational queries that is a real risk, and investing in them makes sense for recognition and later branded contact rather than for traffic. For commercial queries the effect reverses: an answer carrying a price, conditions or a comparison pushes people to click through. So AEO is best applied selectively, where the answer leads to a next step rather than closing the question for good.

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