Treewalker analyzes the token-level log probabilities from ungrounded Gemini runs to evaluate how confidently an AI model associates specific products and concepts with a brand. When alternative candidate tokens exceed a defined confidence threshold, the engine branches execution along those paths to complete alternate associations, systematically mapping the full breadth and volatility of the model's parametric memory.