Glossary
Generative engine optimization (GEO)
Generative engine optimization (GEO) is the practice of making a brand easier for an answer engine to describe accurately and to cite. The outcome of that work is AI brand visibility. The habit of measuring it is AI visibility monitoring. The full practice guide is generative engine optimization.
The practice name
GEO names the work you do on materials you can change: plain-language pages about who you are and who you serve, answers to real pre-purchase questions, and third-party descriptions that match that story. Assistants cite other people's pages, not only yours.
Labels such as llms.txt, a sitemap, and structured data help a crawler understand the site. They are worth having. They do not force a mention.
Keep the jobs separate
GEO is not the monitoring habit, and it is not the visibility outcome. Teams that mix the three names end up optimizing a dashboard, or treating a definition as a program. This glossary keeps them apart. Answer engine optimization (AEO) is a related name for the same kind of work.
Read the answers that exist today before you rewrite the site. A free snapshot is that first look. The AI Visibility Audit adds the written plan.
Related: Generative engine optimization guide · AI brand visibility · AI visibility monitoring · Answer engine optimization · Glossary · AI Visibility Audit
Questions
What is generative engine optimization?
- Generative engine optimization, or GEO, is the work of making a brand easier for an answer engine to describe accurately and to cite. The guide is generative engine optimization.
Is GEO the same as AI visibility monitoring?
- No. GEO changes the materials models can find. AI visibility monitoring measures what the answers say over time. The outcome those measurements describe is AI brand visibility.
Is GEO the same as SEO?
- No. SEO earns a ranking in a list of links. GEO earns a fair place inside a written answer. Some fixes help both. The goal is different.
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