
GEO (Generative Engine Optimization) is the practice of optimizing content to be cited by AI search engines like ChatGPT, Perplexity, and Google AI Overviews. Learn the definition, key strategies, and how GEO differs from SEO.

Deep dive into IF-GEO (arXiv:2601.13938), a breakthrough framework from USTC that addresses the critical challenge of optimizing content for multiple conflicting queries simultaneously. Introduces risk-aware stability metrics and a diverge-then-converge approach to GEO.

Comprehensive analysis of the 10 most important factors for maximizing Generative Engine Optimization (GEO) visibility. Based on the GEO research framework from Princeton/Georgia Tech/IIT Delhi and current industry practices.

Research-backed strategies for improving content citation in AI search engines. Based on the GEO framework from Princeton/Georgia Tech/IIT Delhi and RAG system documentation.