Generative Engine Optimization Encyclopedia · GEO Wiki

Generative Engine Optimization is the practice of making content discoverable, accurate, and citable inside AI-generated answers from engines like ChatGPT, Perplexity, Google AI Overviews, and Gemini. The GEO Wiki serves as an open, bilingual encyclopedia for the AI search era, defining, sourcing, and connecting the concepts, methods, platforms, and research that make up Generative Engine Optimization. To achieve this, one must make pages quotable with clear claims, self-contained passages, and structured answers, signal source credibility through experience, expertise, authoritativeness, and trust, and mark up entities and answers with structured data. Additionally, allowing AI crawlers in by using robots rules, llms.txt, and render-accessible content is essential. The GEO Wiki covers key concepts such as foundations, comparisons between GEO, SEO, AEO, and LLMO, and various platforms. It also features a frequently asked questions section that clarifies the differences between GEO and other optimization practices. The GEO Wiki's Pulse feature tracks every official move related to AI search and GEO, refreshing every 2 hours to keep users updated with primary sources. By staying up-to-date with the rapidly changing field of AI search, users can optimize their content for inclusion and citation inside AI-generated answers.