Average cross-model agreement is only 43.3% | Trakkr Research
Agreement is meaningfully below the level most teams assume.
Methodology: Built from 797,644 valid comparisons across 44,088 reports and 8 models, covering 6,439,133 model responses in the observed window.
Claim
Average cross-model agreement in the model divergence study is 43.3 percent across 797,644 valid comparisons.
Why it matters
Strategists and operators must treat each artificial intelligence model as a distinct visibility surface, as the low agreement rate indicates that optimizing for one model does not guarantee visibility or consistent answers across others.
Supporting metrics
| Metric | Value | Context |
|---|---|---|
| Average agreement | 43.3% | Mean cross-model agreement rate. |
| Valid comparisons | 797,644 | Cross-model recommendation comparisons in the study. |
Related pages
Continue through the same study cluster.
- do ai models recommend the same brands - Related answer page
- how often is there perfect consensus across models - Related answer 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