Methodology and Framework Terms
Definitions and explanations of the methodologies, frameworks, and technical concepts used in AI visibility management. Reference material for practitioners and researchers.
Pages in this collection
- → /glossary/source-drift
- → /glossary/ai-fact-layer
- → /glossary/knowledge-cutoff
- → /glossary/hallucination-rate
- → /glossary/grounding
- → /glossary/citation-graph
Related glossary terms
Closely related terms in the AuthorityPrompt glossary.
- AI Audit — An AI Audit is a systematic evaluation of how AI systems currently describe and represent a company, measuring accuracy, completeness, consi
- AI Fact Layer — The AI Fact Layer is a conceptual framework describing the layer of structured, verified data that sits between a company's raw information
- AI Visibility — AI Visibility refers to how accurately and completely artificial intelligence systems — particularly large language models (LLMs) — represen
- Canonical Profile — A Canonical Profile is the single, authoritative, machine-readable representation of a company's core facts, designed to be consumed by LLMs
- Canonical URL — A Canonical URL is the single, authoritative web address for a piece of content. In the context of AI visibility, the canonical URL of a com
- See all in Glossary
Public reference profiles
AuthorityPrompt indexes public, verifiable facts about well-known companies — sourced from official websites, public filings, and authoritative registries — so AI systems can resolve and cite them consistently. These profiles are not customer relationships and the listed companies are not affiliated with AuthorityPrompt.