Reconstruct what the model knows, why it recommends a rival, which evidence is missing — and the actions that raise your recommendation share.
What does the LLM know about you?
Memory map of products, people and concepts.
Why does it recommend you — or not?
Evidence behind every answer.
Which competitors are winning?
Recommendation share across prompt clusters.
What evidence is missing?
The proof the model never saw.
What moves the needle most?
Ranked actions with expected impact.