Generative engine optimization
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Generative engine optimization (GEO) is the process of improving the visibility, relevance, and presentation of content in response to queries made to generative engines, such as large language models (LLMs).
Unlike SEO, which targets web search rankings, GEO focuses on how information is surfaced, summarized, or cited by artificial intelligence systems powered by generative models.[1]
History
[edit]The concept of generative engine optimization emerged in the early 2020s alongside the widespread adoption of generative AI tools such as OpenAI's ChatGPT, Anthropic's Claude, and Google's Gemini.[1]
Industry applications
[edit]- Marketing: Brands aim to influence how their offerings are presented in AI‑generated summaries or product recommendations.[1]
See also
[edit]References
[edit]- ^ a b c Evershed, Nick (2024-11-03). "The chatbot optimisation game: can we trust AI web searches?". The Guardian. Guardian News & Media. Retrieved 2025-07-15.