What is Answer Engine Optimization (AEO)?

Answer Engine Optimization (AEO) is the practice of formatting content so it is selected as the answer, the response read aloud by a voice assistant, shown in a featured snippet, or used as the synthesized result in a Google AI Overview, rather than as one of many ranked sources.

What AEO targets

Featured snippets

The boxed answer above standard organic results, pulled from pages Google considers authoritative. Google’s systems decide whether a page would make a good featured snippet and, if so, elevate it.

AI Overviews and AI engine citations

AI engines extract answers more easily from short, dense, well-organized content with schema markup than from long pages where the answer is buried. Pages that already perform well for featured snippets tend to be cited at higher rates by Perplexity and ChatGPT Search too.

Voice assistant answers

Strong entity signals, Wikidata entries, Knowledge Panels, and schema markup, let voice assistants identify and read back the correct answer source.

How to optimize for AEO

• Lead with the question as a heading, put an exact-match question in an <h2> or <h3>.
• Answer in two to three sentences immediately below, self-contained, no preamble.
• Use schema markup: FAQPage, HowTo, Article, or Organization schema makes the structure machine-readable for search and AI engines.
• Be factually specific, concrete numbers, dates, and named entities make content easier to cite.
• Cite authoritative sources within the text, adding citations and statistics raises source visibility in AI engine results.

Relationship to GEO

AEO predates the term Generative Engine Optimization (GEO), which came into use in 2024 as the AI search category formed. GEO extends AEO principles to generative AI systems that synthesize multi-source answers. Internally, the same approach is sometimes called writing for the extract.