Definition
Answer engine optimization (AEO) is the practice of structuring content so AI answer engines — such as ChatGPT, Perplexity, and Google's AI Overviews — can extract, understand, and cite it directly in generated answers. It shifts the goal from ranking a link to being the source an AI quotes.
Key points
- The target is citation in an answer, not just a position in a list.
- It rewards direct answers, question-style headings, and unambiguous facts.
- Structured data helps engines extract facts reliably.
- For products, it depends on complete, consistent, machine-readable attributes.
How do you optimize for AEO?
Open each section with a definitive one-to-three-sentence answer, phrase headings the way people prompt, state each fact once with its context, and add structured data. For product catalogs, AEO is largely a data-quality problem: engines cite catalogs whose attributes are complete and consistent enough to trust.
Common pitfalls
- Treating AEO as separate from SEO — strong fundamentals still matter.
- Burying the answer beneath preamble the engine won't read.
- Manufacturing FAQ blocks with no genuine questions.
FAQ
How is AEO different from SEO?
Traditional SEO aims to rank a page in a list of links. AEO aims to have your facts extracted and cited inside an AI-generated answer. AEO builds on SEO fundamentals but adds direct answers, structured data, and machine-readable clarity.
Is AEO the same as GEO?
They overlap. GEO (generative engine optimization) is often used interchangeably; both target visibility inside AI-generated results rather than classic rankings.