The Treewalker engine probes Gemini's parametric memory via Vertex AI by generating brand associations and analyzing token log probabilities to measure per-item confidence scores. When alternative token candidates exceed a specified probability threshold, the engine tree-walks those branching paths to discover adjacent latent associations, which are then paired with search-grounded runs to highlight the exact discrepancies between static training recall and live web reality.