What is GEO (Generative Engine Optimization)?
Generative Engine Optimization (GEO) is the practice of structuring and presenting web content so that AI language models — including ChatGPT, Claude, Perplexity, and Google Gemini — select it as a cited source in AI-generated answers. GEO addresses the full citation stack: crawler access, content structure, schema markup, passage-level extractability, and authority signals specific to AI retrieval systems.
GEO differs from traditional SEO in its optimization target. SEO optimizes for ranking positions in ten-blue-links results. GEO optimizes for inclusion as a cited source in AI-generated summaries, direct answers, and conversational search responses. A site can rank #1 for a keyword in traditional search and be entirely absent from AI-generated answers about that topic.
The term GEO was formalized in a 2024 Princeton/Georgia Tech/Allen Institute paper demonstrating that specific content interventions — citing statistics, adding quotations, using fluent authoritative prose — increased source citation frequency in AI responses by 30-40%.