What Is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) is the practice of optimising your content so generative AI engines — ChatGPT, Claude, Perplexity and Google's AI Overviews — surface and cite it. Where SEO aims to rank a page, GEO aims to be the source the AI quotes. As more people get answers from AI, GEO is becoming as important as classic search rankings.
GEO vs AEO vs SEO
| Term | Goal |
|---|---|
| SEO | Rank a page in the list of search results. |
| AEO (Answer Engine Optimization) | Be the cited source in an AI answer. The common term. |
| GEO (Generative Engine Optimization) | The same idea as AEO, emphasising generative engines. Used interchangeably. |
In short: GEO and AEO are two names for the same goal — getting cited by AI. SEO is the foundation both build on.
The GEO checklist
- Be crawlable. Serve server-rendered HTML — generative engines' crawlers don't run JavaScript.
- Answer first. Put a clear, quotable answer in the opening sentence, then add depth.
- Add structured data. FAQ, Article, Organization and HowTo schema help engines extract and attribute your content.
- Be specific and factual. Concrete numbers, definitions and steps get cited; vague marketing copy doesn't.
- Strengthen your entity. A clear brand identity with
sameAslinks and an about page helps engines trust and attribute you. - Earn trusted citations. Reviews, Reddit, G2 and reference sites are sources AI engines lean on.
- Allow the AI bots (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) in robots.txt if you want citations.
How to start with GEO today
Pick your highest-value pages, rewrite them answer-first with FAQ schema, make sure they're server-rendered, and then measure whether AI engines actually cite you. Rank Ledge scores your GEO/AEO readiness, tracks your AI-search citations, and generates the exact prompts to implement each fix in your code.