Generative engine optimization (GEO)

By the Pickgap team · Updated Oct 15, 2026 · 1 min read

Generative engine optimization (GEO) is the work of making your business or content more likely to be named, quoted or cited when AI systems like ChatGPT, Gemini, Perplexity and Google's AI Overviews write answers. It builds on SEO, with more focus on the sources AI reads and on measuring mentions instead of rankings.

Where the term comes from

The term was introduced in a 2023 research paper that tested how changes to web pages affected whether generative search engines cited them. Adding clear sources, quotations and statistics made pages more visible in the researchers' tests. The name stuck and is now used across the marketing industry.

What GEO involves

• Being findable: letting AI search crawlers read your site, and being indexed by the search engines AI relies on.
• Being on the sources AI reads: directories, review sites, lists, news and forums.
• Writing answer-ready content: pages that answer specific questions directly, with facts.
• Earning trust signals: reviews, mentions and consistent information.
• Measuring: how often AI names or cites you, across many answers.

GEO vs. SEO

SEO aims for high positions in search results. GEO aims to be included in the answer itself. The two share foundations, and good SEO is usually the starting point for GEO. The differences are the output (a written answer naming a few options, not a list of links) and the measurement (how often you're mentioned, not your rank).

GEO for local businesses

For local recommendations, GEO mostly means reviews, accurate listings on the directories AI cites, a clear website and local mentions. See GEO for local businesses.

Related terms: AEO, LLM SEO, AI visibility.