What is generative engine optimization (GEO)?
Generative engine optimization (GEO) is the practice of making a brand more likely to be retrieved, cited, and recommended by generative AI engines like ChatGPT, Gemini, Claude, and Perplexity. GEO combines content design, entity clarity, structured data, and authority citations to shape what AI models say about you.
Detailed answer
GEO is to generative engines what SEO was to search engines. Where SEO optimized for ranking on a SERP, GEO optimizes for inclusion in synthesized answers. The work spans on-site content, off-site citations, structured data, entity disambiguation, and continuous measurement of how brands appear in AI-generated responses.
A GEO program typically combines four workstreams: an AI visibility audit to see where you stand, a content program targeted at the prompts where you lose, an authority program to earn citations on the sources LLMs trust, and a measurement loop to confirm movement.
Key takeaways
- 1.GEO targets AI answers; SEO targets search rankings
- 2.Both on-site and off-site work matter
- 3.Entity clarity is foundational
- 4.Measurement closes the loop and proves ROI
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