What is generative engine optimization (GEO)?
Generative engine optimization, or GEO, is the practice of getting a business named and cited in answers produced by generative AI engines such as ChatGPT, Gemini, Perplexity and Microsoft Copilot. It covers your own content, the facts about your business across the web, and your presence on the sources those engines cite.
Where the term comes from
The phrase was introduced by academic researchers in 2023 to describe optimizing content for AI systems that generate answers instead of listing links. Marketers adopted it alongside AEO and AI SEO, and the three are often used for the same work.
How generative engines build an answer
Most engines retrieve pages from the web or an index, then write a response from what they found, sometimes with citations. So there are two hurdles: being retrieved, and being the source the engine chooses to quote.
What improves your chances
- Clear, specific statements that can be quoted on their own.
- Original facts, figures or examples that other pages do not have.
- Consistent business information across your site, profiles and directories.
- Structured data describing your organization, services and FAQs.
- Mentions on the publications, directories and review sites the engines cite for your topic.
What GEO cannot do
It cannot force a mention. Answers differ by user, wording and model version, and engines change without notice. Treat any guarantee as a warning sign, and ask for measured before and after results instead.
Common questions
Short, direct answers.
Is GEO the same as AEO?
In practice, nearly. Both aim at inclusion in AI-written answers.
How is GEO measured?
By running a fixed set of prompts on each engine at intervals and counting mentions and citations, plus platform reports such as Bing Webmaster Tools for Copilot.
Who needs GEO?
Any business whose buyers ask AI assistants for recommendations, which increasingly includes local services, software, travel and retail.
Want this done for you?
The services behind this guide.
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