Low-relevance gaps are audited by running direct relevance testing across active AI models to identify queries and entities generating disapproval gaps.

flowchart TD
    A[Query & Entity Input] --> B[Multi-Model Probing]
    
    subgraph Providers [Target AI Models]
        B --> P1[Google Gemini]
        B --> P2[OpenAI GPT]
        B --> P3[Anthropic Claude]
    end
    
    P1 --> C[Binary Evaluation]
    P2 --> C
    P3 --> C
    
    C -->|Yes / No Responses| D[Relevance Grid Aggregation]
    D --> E[Identify Disapproval & Low-Relevance Gaps]
    E --> F[Targeted AI Optimization]