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).[4]
The concept of GEO first appeared in response to generative AI technologies being integrated into mainstream search and information retrieval systems.[2][1]
Tools such as Ahrefs, Otterly.ai, 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.[5]
Practitioners also measure how often a brand is mentioned in AI-generated answers, which URLs or domains are cited in those answers, and a brand’s share of voice relative to competitors.[citation needed]
See also
[edit]References
[edit]- ^ 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.
- ^ Fan, Zhenan; Ghaddar, Bissan; Wang, Xinglu; Xing, Linzi; Zhang, Yong; Zhou, Zirui (1 July 2026). "Artificial intelligence for optimization: Unleashing the potential of parameter generation, model formulation, and solution methods". European Journal of Operational Research. 332 (1): 1–30. doi:10.1016/j.ejor.2025.08.029. ISSN 0377-2217.
- ^ "Brands target AI chatbots as users switch from Google search". Financial Times.
