Relevance scoring measures how consistently AI models recommend a brand for specific entities or topics by running repeated binary classification prompts across multiple providers to calculate a statistical Query Relevance Score.
flowchart LR
A[Brand and Entity Input] --> B[AI Relevance Probe]
B --> C{Sampled Queries<br/>N=1 to 100}
C -->|Yes| D[Affirmative Count]
C -->|No| E[Negative Count]
D --> F[Query Relevance Score %<br/>Yes / Total Probes]
E --> FReferenced by