Our brand-analysis tool that reveals how Gemini talks about a brand by walking the probabilistic paths of the model's own language.
Tree Walker is our analysis tool for seeing how an AI model like Google's Gemini understands and describes a brand. You give it a website, and it generates an initial description of the brand through Gemini's eyes, then explores the probabilistic paths that language could have taken — turning the "black box" of AI perception into something you can measure and direct.
Two signals sit at the centre of the initial analysis: word rarity (how common or rare each term is within the model's vocabulary) and word uncertainty (where the model hesitated before choosing a word). Words flagged as high-uncertainty are the model's weak spots about your brand, and your highest-priority targets for content work.
The core Probability Tree Walker algorithm follows the reasonable alternative paths a sentence could have taken, watching for "token surprise," to build dozens of viable sentences the model might have produced. An Alternative Token Explorer surfaces the runner-up words behind each choice. Together they move brand AI visibility from guesswork to a directable process, reading the model's own token probabilities to expose where a brand's story is fragile.
Link: https://treewalker.ai/
