What does an average top-three overlap of 2.8 mean? | Trakkr Research
It means models overlap meaningfully but not completely. On average, the top-three recommendation sets share 2.8 entries, which still leaves enough room for important ranking and inclusion differences.
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
Mostly, it means models overlap meaningfully but not completely. On average, the top-three recommendation sets share 2.8 entries, which still leaves enough room for important ranking and inclusion differences.
What this means
Understanding this overlap metric turns a study finding into an operating rule teams can use when they decide what to publish, refresh, or measure next, particularly given the 43.3% average agreement rate.
Evidence table
| Metric | Value | Why it matters |
|---|---|---|
| Average top 3 overlap | 2.8 | Average overlap among top-three results across models. |
| Average agreement | 43.3% | Mean cross-model agreement rate. |
Frequently Asked Questions
How much do different AI models agree on average?
The mean cross-model agreement rate is 43.3%.
Why should we avoid using one AI platform to measure total market visibility?
Because an average top-three overlap of 2.8 indicates that models do not return identical recommendation sets, meaning visibility on one platform does not guarantee visibility on others.
What to do next
Related pages
Continue through the same study cluster.
- should you use one model as a proxy for all ai visibility - Related answer page
- why do models disagree so much even on common categories - Related answer page
- general prompts are less stable than comparisons - Related fact page
- cross model consensus tracker - Related tracker page
Data & Sources
- Same Question, Different AI, Different Answers - Flagship study behind this page
- Page JSON - Machine-readable companion file