What it means
AEO grew out of search engine optimization. Where SEO aims for a ranked link, AEO aims for inclusion in a generated answer: being named, described correctly, cited as a source and, for commercial questions, recommended.
In practice it combines SEO basics, such as crawlable and indexable pages with a clear structure, with work on the evidence answers draw on: precise product and pricing pages, comparisons, documentation, reviews and third-party coverage. The term overlaps heavily with GEO, and many teams use the two interchangeably.
Why it matters
B2B buyers increasingly ask assistants to shortlist vendors before they visit a website. If an answer engine cannot find or trust the evidence about your product, a competitor fills the answer, and no ranking report will show it.
Example
A payroll software company ranks well for 'payroll software for startups', yet ChatGPT and Perplexity leave it out when asked which payroll tools suit a 40-person startup in Germany. Its AEO work starts by recording those answers, then fixing what they rely on: a vague pricing page, no German compliance documentation and few independent comparisons.
Common misunderstandings
- AEO is not special markup that forces inclusion. Google, for one, says no special files or schema are needed to appear in its AI features.
- Good rankings do not guarantee inclusion in AI answers, and inclusion does not guarantee a recommendation.
- AEO results are probabilistic: the same question can return different answers, so one screenshot proves little.