AI Visibility Glossary
Entity Strength
Why it matters
If AI can't confidently identify your brand as one entity, it hesitates to recommend you and may confuse or mis-describe you. Strong entity signals make you eligible for recommendation.
How to measure it
Check whether AI describes your brand consistently and accurately across answers, and whether structured data and knowledge-graph presence reinforce a single identity.
Measure your AI visibility
See how AI engines cite and recommend your brand, scored on eight signals across every major engine. Free.
Related terms
A knowledge graph is a structured network of entities — brands, people, products, places — and the relationships between them. AI systems use knowledge graphs to understand what a brand is and how it connects to the rest of the world.
Consistency is how uniformly a brand is described across AI answers, engines, and sources over time. When your name, category, and positioning are stated the same way everywhere, AI recognizes and trusts you more.
The Signal Score is Top Citation Signal's 0–100 composite measure of a brand's AI visibility. It combines eight weighted signals — citation, trust, entity strength, coverage, source diversity, consistency, freshness, and expert mentions — into one comparable number.
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.