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]