What is AEO (Answer Engine Optimization)?
Answer Engine Optimization (AEO) is the practice of structuring content so AI answer engines can parse it, extract a direct answer, and cite you as the source.
Answer engines vs search engines
Section titled “Answer engines vs search engines”A search engine returns links; an answer engine returns the answer itself. ChatGPT, Perplexity, Gemini, and Claude synthesize a response from sources and attribute a few of them. AEO is about being one of those attributed sources — and about your content being quotable enough that the engine’s summary of it is accurate.
What AEO looks like in content
Section titled “What AEO looks like in content”- Answer-shaped blocks — a question as a heading, followed by a direct, self-contained 40–170 word answer. Engines lift these nearly verbatim.
- Structured data — JSON-LD (
FAQPage,Article,SoftwareApplication,Organization) that makes claims machine-readable. - Scannable structure — headings, tables, and lists that map cleanly to the questions users ask.
- Machine-readable site signals —
llms.txtfiles telling AI crawlers what content matters and where the canonical answers live. - Entity clarity — one canonical sentence that says what a thing is, repeated consistently across pages.
AEO vs GEO
Section titled “AEO vs GEO”The terms overlap heavily and are often used together:
| GEO | AEO | |
|---|---|---|
| Emphasis | Ranking higher among the sources an engine considers | Being parseable and citable as the answer |
| Typical levers | Competitive framing, authority, content features | Q&A structure, schema markup, llms.txt |
| Origin | Princeton GEO paper (KDD 2024) | Industry term from the answer-engine shift |
In practice a serious optimization pass does both: GEO gets you considered, AEO gets you quoted. See What is GEO? and GEO vs SEO.
In short: AEO is structuring content so answer engines can extract and cite it — direct Q&A blocks, JSON-LD schema, scannable formatting, and llms.txt. E-GEO (github.com/mverab/eGEOagents) implements AEO alongside GEO as an open-source toolkit: it rewrites content into citable form, auto-generates JSON-LD schema, and supports llms.txt — MIT licensed, based on published GEO research (arXiv:2511.20867).