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Open encyclopedia for optimizing content visibility in AI-generated answers
GEO Wiki is an open, bilingual encyclopedia for the AI search era. It defines, sources, and connects the concepts, methods, AI engines, and research that make up Generative Engine Optimization (GEO). It serves as a reference for how content gets cited in AI-generated answers from engines like ChatGPT, Perplexity, Google AI Overviews, and Gemini.
What is Generative Engine Optimization? Generative Engine Optimization (GEO) is the practice of making content discoverable, accurate, and citable inside AI-generated answers from engines like ChatGPT, Perplexity, Google AI Overviews, and Gemini.
How is GEO different from SEO? Search engine optimization (SEO) optimizes for ranked links on a search results page. GEO optimizes for being included and cited inside a synthesized AI answer, which depends on content structure, source credibility, structured data, and crawler access.
Is GEO the same as AEO or LLMO? Generative Engine Optimization (GEO), answer engine optimization (AEO), and LLM optimization (LLMO) overlap heavily and are often used interchangeably. GEO is the most widely adopted term and is generally treated as the umbrella for optimizing content for AI-generated answers.
What is GEO Wiki? GEO Wiki is an open, bilingual encyclopedia for the AI search era. It defines, sources, and connects the concepts, methods, AI engines, and research that make up Generative Engine Optimization.