Concepts & definitions
What is Generative Engine Optimization (GEO), and is it the same as AEO?
The distinction people draw
When a difference is intended, AEO usually refers to earning the direct answer — including featured snippets and voice results — while GEO refers specifically to appearing inside text generated by a large language model.
The tactics overlap almost completely: extractable answers, entity clarity, third-party corroboration, structured data, and freshness serve both.
Don't buy the taxonomy
A good deal of GEO marketing sells the acronym as a new discipline requiring new tooling. The underlying research and Google's own guidance both point the other way.
Judge any GEO advice by whether it would help a well-informed human evaluate you. If it would not, it is unlikely to help a model that was trained to approximate that judgement.
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Related questions
Answer Engine Optimization is the practice of shaping content and brand signals so AI answer engines surface, cite, and recommend you inside their responses. Where SEO competes for a position in a ranked list of links, AEO competes to be part of the single synthesised answer the engine returns.
Yes — arguably more, in a narrower way. Google's AI features run on the same core ranking and quality systems as search, and the engines that browse retrieve from search results. If you are not crawlable, indexable, and credible, you are not in the pool an AI answer is assembled from.
Retrievability, independent corroboration, extractable answers, entity clarity, and freshness. In rough order of leverage: be crawlable and server-rendered, be described consistently by sources other than yourself, answer specific questions directly near the top of a page, resolve unambiguously as an entity, and show recent dates.
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Last reviewed 2026-07-30.