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Model Breakdown

Model breakdown shows how your brand's visibility varies across different AI models. Each model has its own training data, update schedule, and tendencies -- your visibility on ChatGPT may be very different from your visibility on Claude or Gemini.

Why per-model analysis matters

Not all AI models are equal in terms of reach or relevance to your audience. Understanding where you're strong and where you're weak helps you:

  • Prioritise content efforts. If you're invisible on the most popular model, that's a bigger problem than low visibility on a niche one.
  • Understand model differences. Different models cite different sources and have different knowledge. What works for ChatGPT may not help with Claude.
  • Track model updates. When a model is updated or retrained, your visibility can shift. Per-model tracking helps you catch these changes.

Reading the breakdown

The model breakdown table shows visibility metrics for each AI model in your monitors:

  • Model name -- The AI model (e.g., "GPT-4", "Claude Opus", "Gemini Pro")
  • Visibility score -- Your brand's 0-100 score on that specific model
  • Mention rate -- How often the model mentions your brand

This lets you compare the same brand across models at a glance.

Common patterns

Strong on one model, weak on others

This usually means the strong model has training data that includes your content, while others don't. Focus on understanding what content is driving visibility on the strong model and how to replicate that signal for others.

Declining on a specific model

If your visibility drops on one model but stays stable on others, that model likely received an update. Check recent responses from that model to see what changed.

Consistent across all models

If your visibility is roughly the same across all models, your brand presence (or absence) is well-established in the broader information ecosystem. Improvements to your content should lift all models together.

Using model breakdown strategically

  1. Identify your weakest model. That's where you have the most room for improvement.
  2. Check what that model cites. Review citations filtered by model to understand what sources it draws from.
  3. Look at answer gaps by model. Some gaps may be model-specific -- a question where you're mentioned on ChatGPT but not on Claude.
  4. Create model-aware content. Understanding which sources each model prefers can inform where you publish content.

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