GEO Wiki
GEO Wiki is an open, bilingual encyclopedia of Generative Engine Optimization (GEO), with key claims linked to their sources. GEO is the practice of increasing the chance that content is retrieved, used, and credited in AI-generated answers. The site covers core concepts, practical methods, AI engines, and research.
Traditional SEO focuses mainly on ranking pages in search results. GEO builds on the same foundations but applies them to AI-generated answers. It overlaps with answer engine optimization (AEO) and large language model optimization (LLMO).
What GEO covers
Content structure
Use clear claims and self-contained passages that remain meaningful when quoted.
Source credibility
Support claims with reliable evidence and make authorship and expertise clear.
Structured data
Use structured data to identify entities and describe the page’s content.
Crawler access
Use robots rules to manage crawler access and keep important content available in rendered HTML.
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Pulse collects official updates on AI search and GEO from platforms, search engines, companies, and research institutions. It refreshes every two hours and links directly to the original sources.
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The cornerstone concepts, comparisons, and AI engines of GEO.
Foundations
Comparisons
Frequently asked questions
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.
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) focuses on ranking pages in search results. GEO extends that work to visibility and attribution in AI-generated answers. Relevant practices include clear content structure, reliable sourcing, crawler access, and accurate structured data, but no single factor guarantees inclusion.
Is GEO the same as AEO or LLMO?
Generative Engine Optimization (GEO), answer engine optimization (AEO), and large language model optimization (LLMO) overlap and are sometimes used interchangeably. Their boundaries are not standardized; GEO generally refers to improving visibility and attribution in AI-generated answers.