Within the ARC framework, Relevance measures how consistently major AI models evaluate and recommend a brand when prompted about target entities, concepts, or search queries. This is tracked by running direct evaluation probes to calculate a Query Relevance Score (QRS), which is complemented by Query Potential scoring that weighs search impressions against average positions to highlight high-value commercial opportunities.