AI Visibility and GEO glossary
Short, precise definitions of the terms that come up whenever the subject is getting cited by AI. Each entry has its own page, marked up with DefinedTerm schema. For a longer treatment of these concepts, see the Learn hub.
AI Visibility
A brand's ability to be found, understood and cited by AI assistants when someone asks a question about its market.
GEO (Generative Engine Optimization)
The practice of optimizing content to be cited in the answers produced by generative AI engines such as ChatGPT, Perplexity and Gemini.
AI crawler
The bot that collects content from the web to feed AI assistants: GPTBot, ClaudeBot, PerplexityBot and others. None of them run JavaScript.
Structured data (JSON-LD / Schema.org)
Markup that describes a page's content to machines: what it is, who wrote it and when it was published.
E-E-A-T
Experience, Expertise, Authoritativeness and Trustworthiness: the credibility signals that search engines and AI systems use to pick sources.
Citation rate
The percentage of target questions in which the brand is cited in AI answers, the central metric of AI Visibility.
llms.txt
The Markdown file at the root of a website that gives AI systems a curated map of the main pages, with summaries.
Frequently asked questions about this glossary
What is the difference between AI Visibility and GEO?
AI Visibility is the outcome — being found, understood and cited by AI systems — and it is what you measure. GEO, or Generative Engine Optimization, is the discipline that produces that outcome, and it is what you practice. You do GEO to build AI Visibility.
Do I need a technical background to apply these concepts?
Not to make the decisions. These terms exist precisely so that portfolio managers, investor relations and marketing can talk to IT without a middleman. The technical work — static HTML, structured data and clearance for the crawlers — is specific and finite, and any technology team can deliver it once the request is clear.
Where should I start if I can only read three entries?
Start with AI Visibility, the umbrella concept; then AI crawler, which explains who is actually reading your website; and then citation rate, the metric that measures all of it.
Are these industry-standard terms or ReBo coinages?
AI Visibility, GEO, E-E-A-T, AI crawler, structured data and llms.txt are industry terms, and each entry states where they came from. What belongs to ReBo is the 4-level framework and the way it organizes the five citation factors, always labeled as such.
Where can I see these concepts applied in practice?
In the Learn hub, which brings together three pillar articles and four satellite pieces covering the factors, the data and the cases. For how the work runs, see the ReBo method; for the delivery itself, see the service.