AI Visibility Glossary
Consistency
Why it matters
Contradictory or shifting descriptions confuse AI and dilute recognition. Consistency reinforces a single, confident entity the model can recommend.
How to measure it
Compare how different engines and sources describe your brand and flag conflicting or outdated claims.
Measure your AI visibility
See how AI engines cite and recommend your brand, scored on eight signals across every major engine. Free.
Related terms
Entity strength is how clearly AI models recognize a brand as a distinct, well-defined entity — connecting its name, website, products, people, and profiles into one coherent thing. Weak entity strength means AI is unsure what your brand is.
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.
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.
Freshness is how recent the citations, mentions, and references about a brand are. AI engines favor current information, so a steady stream of up-to-date coverage keeps a brand relevant in answers.