Should you use one model as a proxy for all AI visibility? | Trakkr Research
No. With only 43.3% average agreement and 4.0% perfect consensus, one model is an unreliable proxy for the wider AI market.
Methodology: Built from 797,644 valid comparisons across 44,088 reports and 8 models, covering 6,439,133 model responses in the observed window.
Direct Answer
No. With only 43.3% average agreement and 4.0% perfect consensus across 8 models, one model is an unreliable proxy for the wider AI market.
What this means
Relying on a single model for visibility metrics leads to blind spots in resource allocation. Teams must use multi-model tracking to accurately decide which content to publish, refresh, or measure next.
Evidence table
| Metric | Value | Why it matters |
|---|---|---|
| Average agreement | 43.3% | Mean cross-model agreement rate. |
| Perfect agreement | 4.0% | Only a small share of prompts produce unanimous outcomes. |
| Models analyzed | 8 | OpenAI, Anthropic, Gemini, Grok, Deepseek, Meta, Perplexity, and Google AI Overviews. |
Model divergence changes both answer targeting and generative optimisation. Separate the AEO and GEO work this finding affects before assigning the next action.
Because one model cannot proxy for the rest, measure Google AI Overviews as their own surface instead of inferring Google visibility from another assistant.
Frequently Asked Questions
Which models were included in the 8 platforms analyzed?
The analysis included OpenAI, Anthropic, Gemini, Grok, Deepseek, Meta, Perplexity, and Google AI Overviews.
What does the 4.0% perfect agreement metric mean for my tracking strategy?
It indicates that only a small share of prompts produce unanimous outcomes across all 8 models, meaning you cannot assume a top rank in one model guarantees visibility in the others.
What to do next
Related pages
Continue through the same study cluster.
- why do models disagree so much even on common categories - Related answer page
- what is the operational cost of model divergence - Related answer page
- best of prompts carry a high divergence tail - Related fact page
- query class agreement tracker - Related tracker page
Data & Sources
- Same Question, Different AI, Different Answers - Flagship study behind this page
- Page JSON - Machine-readable companion file