Model Breakdown
See how competitive dynamics differ across AI models.
- See your competitive position on each AI model separately
- Understand which models favor you vs competitors
- Identify model-specific opportunities
- Target improvements where they'll have most impact
Different AI models have different training data, different biases, and different ways of generating responses. Your competitive position can vary dramatically across models. This view helps you understand those differences.
Why model breakdown matters
Consider this scenario:
- You're #1 on Claude with 75% visibility
- You're #4 on ChatGPT with 40% visibility
Your overall visibility might look fine, but you're losing a huge audience on ChatGPT. Model breakdown reveals these hidden dynamics.
The model comparison
For each AI model, you see:
| Metric | What it shows |
|---|---|
| Your visibility | Your score on this model |
| Your rank | Position among competitors |
| Leader | Who's winning this model |
| Gap to leader | How far behind you are |
| Trend | Are you gaining or losing? |
Model-specific strategies
Different models respond to different tactics:
ChatGPT
Heavily influenced by training data. Strong presence on authoritative sources matters most.
Claude
Values nuance and detail. Comprehensive, well-reasoned content performs well.
Perplexity
Real-time search focused. Recent, fresh content has outsized impact.
Gemini
Google ecosystem integration. Strong Google presence (Search, Maps, Reviews) helps.
AI Overviews
Essentially Google's AI layer. Traditional SEO signals still matter here.
Grok
X/Twitter focused. Social presence and real-time relevance matter.
Meta AI
Facebook/Instagram ecosystem. Social signals and reviews on Meta properties help.
DeepSeek
Technical audience focus. Developer documentation and technical content perform well.
Finding model opportunities
Look for models where:
You're close to winning
A small improvement could flip your position. Focus effort here for quick wins.
Competitors are weak
If the leader is vulnerable on a model, that's your opportunity.
Your audience is concentrated
If your target customers use Perplexity heavily, prioritize Perplexity even if overall scores are lower.
Taking action
For each model where you want to improve:
- 1Analyze top performers - What are they doing that you're not?
- 2Check model-specific citations - Filter citations by model to see what sources matter
- 3Tailor content strategy - Different models may need different approaches
- 4Track model-specific trends - Measure improvement on that specific model
Next steps
Perception
Understand how AI perceives your brand across dimensions.
Citations by Model
See which sources influence each model.
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