Glossary
What Is AEO (Answer Engine Optimization)?
AEO (Answer Engine Optimization)is the practice of structuring content so answer engines — ChatGPT, Perplexity, Claude, Google AI Overviews, Gemini, voice assistants (Siri, Alexa, Google Assistant) — extract and cite it as the answer to a user query. Answer engines don't rank pages; they extract paragraphs. AEO optimizes the paragraph, not the page.
The six AEO techniques
- Answer-first paragraphs. Every H1/H2 should be followed by a direct 1-3 sentence answer (8-35 words per sentence). Answer engines extract from the top of each section — a sales-pitch intro wastes the extraction window.
- FAQPage JSON-LD schema. The single highest-leverage AEO addition. Engines lift Q/A pairs verbatim from schema, bypassing heuristic content extraction. Pages with FAQPage schema get cited at 2-3× the rate of equivalent pages without it.
- Semantic HTML. Use
<h1>, <h2>, <ul>, <table>, <dl> properly — not <div>s with styled appearance. - Organization schema with sameAs. Disambiguates your brand. Without it, AI engines may confuse you with a similarly-named competitor.
- Fact-checkable claims. Include dates, numbers, named sources, specific quantities. Answer engines preferentially cite content with concrete facts.
- Short sentences. Keep sentences under 35 words. Engines extract sentence-by-sentence; long multi-clause sentences confuse the extraction layer.
AEO vs SEO vs GEO
SEO ranks pages. AEO extracts paragraphs. GEO is AEO for generative AI engines specifically.
SEO came first (1996). AEO emerged when Google launched featured snippets (2014) and matured with voice assistants. GEO is the newest variant (2024 onwards) covering ChatGPT, Claude, Perplexity, and AI Overviews. Most modern content teams do all three — they compound.
Related terms
- — GEO (Generative Engine Optimization) — the AEO subset for AI engines.
- — Structured data (Schema.org / JSON-LD) — FAQPage schema is the AEO workhorse.
- — llms.txt — content curation for AI crawlers.
How Seoxpert audits AEO
The Seoxpert scanner checks answer-first paragraph structure on question-titled pages, FAQPage / HowTo schema presence, semantic-HTML hierarchy, Organization JSON-LD, and sentence-length heuristics on key landing pages. Run a free AEO audit or read the full GEO hub.
What does AEO stand for?
Answer Engine Optimization. The practice of structuring content so answer engines extract it as the answer to a user query — whether that's a Google featured snippet, a voice assistant response, an AI Overview, or a generative AI citation.
How is AEO different from SEO?
SEO ranks pages. AEO extracts paragraphs. Answer engines don't rank pages relative to each other — they extract specific sentences or paragraphs as the answer. AEO optimizes the paragraph (and its surrounding structure), not the page as a whole.
How is AEO different from GEO?
AEO is the umbrella category covering all answer-engine surfaces. GEO (Generative Engine Optimization) is the AEO subset that targets generative AI engines (ChatGPT, Perplexity, Claude, Gemini) specifically. Featured-snippet optimization for classical Google was AEO long before GEO existed as a category.
What are the six core AEO techniques?
(1) Answer-first paragraphs — direct 1-3 sentence answer after each H1/H2. (2) FAQPage JSON-LD schema — engines lift Q/A pairs verbatim. (3) Semantic HTML — proper headings, lists, tables, definition lists. (4) Organization schema with sameAs links — brand entity disambiguation. (5) Fact-checkable claims with dates, numbers, named sources. (6) Short sentences under 35 words for clean extraction.
How do I measure AEO performance?
Three layers: (1) Google Search Console "featured snippet" filter for classical Position 0. (2) Semrush AI Visibility / Ahrefs Brand Radar for ChatGPT, Perplexity, AI Overviews mentions. (3) Voice — currently no good third-party tool; manual testing (ask Siri / Alexa) is the only signal. Branded-search-volume on Google is a useful proxy because AEO citations drive curiosity searches.