Do AI models recommend the same brands? | Trakkr Research
Not usually. Average agreement across the study is only 43.3%, and only 4.0% of prompts produced perfect agreement across all models tested.
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
Rarely. Average agreement across the study is only 43.3 percent, and only 4.0 percent of prompts produced perfect agreement across all 8 models tested.
What this means
Operators cannot rely on a single AI platform as a proxy for overall market visibility. Resource allocation must account for platform divergence to accurately measure and influence brand presence.
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. |
Frequently Asked Questions
How often do all AI models agree on brand recommendations?
Perfect agreement across all 8 models analyzed occurs in only 4.0 percent of prompts.
What is the average rate of agreement between different AI platforms?
The mean cross-model agreement rate is 43.3 percent.
Which models were included in this analysis?
The study analyzed 8 models including OpenAI, Anthropic, Gemini, Grok, Deepseek, Meta, Perplexity, and Google AI Overviews.
What to do next
Related pages
Continue through the same study cluster.
- how often is there perfect consensus across models - Related answer page
- how much do models disagree on brand recommendations - Related answer page
- average cross model agreement is only forty three percent - 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