Find Your AI Model Blind Spot
Diagnose exactly why your visibility differs across AI models.
ChatBakers 
Claude What this workflow does
Your brand is visible on Perplexity but invisible on ChatGPT. Your visibility on Gemini dropped 15 points this month but nothing changed on Claude. These gaps feel random but they are not. Each AI model has distinct source preferences, citation patterns, and topic weighting that explain the difference.
This workflow diagnoses the model-level gaps in your visibility: where you are underperforming, which models are using different sources for your category, and what structural changes to your content would close the gap on the models where you are losing.
The output is a model-by-model action plan, not a dashboard screenshot.
Example prompt
ChatBakers MCP connected ❯ Pull our brand visibility broken down by AI model for the last 30 days. For each model where our visibility is below our overall average, identify the top-cited sources for our tracked prompts on that specific model. Compare those sources against the top-cited sources on the models where we perform best. Return a diagnosis for each underperforming model: which sources it trusts that we are not in, and what content or structural changes would most likely close the gap.
Related use cases
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