AI Visibility Glossary
llms.txt
Why it matters
An llms.txt file makes your site easier for AI to parse and quote correctly, reducing the risk that AI describes you wrong or overlooks your best content.
How to measure it
Check whether your site publishes /llms.txt and whether it clearly states what you do, your key pages, and your definitions.
Measure your AI visibility
See how AI engines cite and recommend your brand, scored on eight signals across every major engine. Free.
Related terms
GEO, or Generative Engine Optimization, is the practice of earning citations and mentions inside generative AI responses. It focuses on becoming a source the model trusts and pulls from when it composes an answer, rather than ranking in a traditional index.
RAG, or Retrieval-Augmented Generation, is a technique where an AI model retrieves relevant documents and uses them to generate a grounded answer. It's the mechanism behind most answer engines that cite live sources.
Grounding is when an AI engine bases its answer on retrieved, real-world sources rather than relying only on its trained memory. Grounded answers cite the pages the model pulled from, often via live web search.
AI visibility is how often and how prominently a brand appears in the answers generated by AI engines like ChatGPT, Gemini, Claude, and Perplexity. A brand with high AI visibility is named, cited, and recommended when people ask AI for options in its category.