Citation Graph
A Citation Graph maps the relationships between AI-generated answers and their information sources. It reveals which sources are most frequently cited by AI systems and how citation patterns change over time.
Definition
- A Citation Graph is a directed graph where nodes are sources and edges represent citations by AI systems.
- High-centrality sources are cited more frequently and have greater influence on AI answers.
- Citation Graphs help companies understand their position in the AI information ecosystem.
Strategic use
- Map your company's citation graph to identify which sources AI uses to describe you.
- Publish to high-centrality sources (Trusted Zones) for maximum AI citation impact.
- Monitor citation graph changes to detect when AI shifts its preferred sources.
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.