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Answer engine optimization, or AEO, is the practice of getting a brand named in the answer an engine writes, instead of in the list of links below it. An answer engine is anything that responds to a question directly, which today means ChatGPT, Gemini, Perplexity and Google AI Overviews, and before them meant featured snippets and voice assistants.
AEO was in use when the targets were featured snippets, knowledge panels and the spoken reply from a voice assistant. What those had in common with a model-written answer is that the user gets one response and rarely looks past it. When generative engines arrived they inherited the term, which is why AEO now covers both. G2 named its software category AEO, so vendors listed there describe themselves in those words even when their own site says GEO.
Three things carry most of the weight. Buyer questions get answered in the words people use, on pages the brand controls. Its description stays consistent across the third-party sites an engine reads, since one answer is written by drawing across many sources rather than by ranking one of them. And the facts an engine needs to name a brand without hedging are published somewhere it can find them, meaning what the product does, who it is for, what it costs and how it compares.
Most AEO work is also good SEO work, because the pages an engine reads are usually pages that rank. The goal is what differs. SEO wants a position in a list that the reader then chooses from, while AEO wants the brand inside the sentence, where there is no list and no second page to be found on.
A rank tracker cannot do it, because an answer has no positions to read. The measurement is to ask the buyer questions directly, more than once, and count how often the brand comes back named without having been mentioned in the question. Counts with their total, taken the same way each time, are what shows whether the publishing moved anything.
They are close enough that the two get used interchangeably. GEO names the engine that generates the text, AEO names the answer it produces, and the tasks behind both are the same. The dedicated page on GEO vs AEO goes through where the wording differs.
A tool measures, and the work itself is the writing and the publishing. What a tool adds is knowing which questions already name the brand and which name a competitor, so the effort goes where it is missing.
Usually it does, because the same pages serve both. Answering a buyer question plainly on a page a crawler can read is ordinary good practice, and it is also what an engine needs to quote a brand.
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