Generative Engine Optimization (GEO)
Generative Engine Optimization (GEO) is the discipline of structuring web content so large language models like ChatGPT, Gemini, Claude, and Perplexity extract and cite it verbatim in AI-generated answers.
GEO combines three layers: entity-rich content (clear subjects, named services, locations), structured data (Schema.org JSON-LD), and answer-block formatting (definitions, FAQs, HowTo steps). Unlike traditional SEO which optimizes for blue-link rankings, GEO optimizes for citation rate inside generative engines. The fastest-rising GEO signals are: a clear one-paragraph definition near the top of the page, FAQ schema with question-led headings, and llms-full.txt files that AI crawlers can consume directly.
Related terms
Optimizing for direct-answer surfaces like AI chat and voice.
A markdown file that tells AI engines what your site is about.
Google's generative search summaries at the top of results.
Structured data that makes content machine-readable.
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