GEO
Generative Engine Optimization
Generative Engine Optimization (GEO) is the practice of structuring and writing content so generative AI systems—ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews—can discover, understand, summarize, and cite your brand in answers instead of only ranking you in classic blue-link search results.
How GEO relates to SEO and AEO
Classic SEO still matters for crawlability, authority, and rankings. GEO extends that work toward generative answers: entities, speakable definitions, FAQ content, and structured data that models can ground. AEO goes further—making the same site agent-executable with trust signals, API readiness, and clear conversion paths.
Key practices
- Publish clear entity definitions and concise summaries AI systems can quote
- Add rich Schema.org JSON-LD (Organization, Article, FAQ, HowTo)
- Use semantic headings and conversational Q&A that match how people ask AI tools
- Maintain an accurate /llms.txt (and optional /llms-full.txt) for AI crawlers
- Earn citation-worthy claims with sources, original data, and author expertise
Related resources
- AI SEO: Optimize for ChatGPT, Claude & AI Search
- Google AI Overviews: How to Get Featured
- Free SEO Analyzer — check technical SEO and on-page readiness
- AEO glossary · Core Web Vitals glossary
FAQ
What does GEO stand for?
GEO stands for Generative Engine Optimization — optimizing content so generative AI search and answer engines can discover, understand, and cite your brand.
How is GEO different from traditional SEO?
Traditional SEO targets ranked blue links. GEO targets citation and inclusion inside AI-generated answers, using clear entities, structured data, conversational Q&A, and machine-readable summaries.
How does GEO relate to AEO?
GEO focuses on being cited by generative engines. AEO (Agentic Engine Optimization) focuses on making your site usable by AI agents that browse, extract data, and complete tasks. Strong sites practice both.