Relevance probing prompts active LLMs with a binary yes-or-no prompt asking whether a specific brand is recommended for a designated query or entity, aggregating multiple samples per model to compute a percentage-based relevance score.
flowchart LR
A[Target Entity / Query] --> C[AI Model Probe]
B[Target Brand] --> C
C -->|N Samples| D{Recommendation?}
D -->|Yes| E[Count Yes]
D -->|No| F[Count No]
E --> G[Relevance Score %]