Generative engine optimization
Generative engine optimization (GEO) is one of the names given to the practice of structuring digital content and managing online presence to improve visibility in responses generated by generative artificial intelligence (AI) systems.[1] The practice influences the way large language models (LLMs), such as ChatGPT, Google Gemini, Claude, and Perplexity AI, retrieve, summarize, and present information in response to user queries.[2][3] Related terms include answer engine optimization (AEO)[3] and artificial intelligence optimization (AIO).[citation needed]
The concept of GEO first appeared in response to the rise of generative AI technologies being integrated into mainstream search and information retrieval systems.[2][1]
Tools such as Ahrefs, Peec AI, Profound, Semrush, Scrunch, Similarweb, and Writesonic are used to monitor how websites and brands are cited, referenced, or incorporated into responses produced by large language models.[4][5]
See also
References
- ^ a b Herrman, John (2025-08-04). "SEO Is Dead. Say Hello to GEO". Intelligencer. Retrieved 2025-11-11.
- ^ a b "As AI Use Soars, Companies Shift From SEO To GEO". Forbes. 4 May 2025. Retrieved 28 September 2025.
- ^ a b Newman, Nic (12 January 2026). "Journalism, media, and technology trends and predictions 2026". Reuters Institute for the Study of Journalism. University of Oxford. Retrieved 30 January 2026.
- ^ "Brands target AI chatbots as users switch from Google search". Financial Times.
- ^ Barnett, Kendra. "These Are the 7 Hottest Startups Shaping the Future of AI Search Optimization". Ad Age.