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.
Source
Google publishes formal guidance on FAQPage structured data, the markup type this page and much of AEO practice relies on to help answer engines extract and cite direct answers.