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llms.txt GeneratorWhat is the operational cost of model divergence?
Mostly, the cost is that one visibility report cannot stand in for the whole market. A brand may gain or lose share on one model without seeing the same move elsewhere.
The key numbers.
- High divergence rate
- Prompts in the 0-25% agreement bucket.
- 14.6%
- Average agreement
- Mean cross-model agreement rate.
- 43.3%
- Reports analyzed
- Distinct reports contributing to the benchmark.
- 44,088
Model divergence turns AI visibility into a portfolio problem rather than a single ranking problem.
The evidence.
| Measure | Result |
|---|---|
| High divergence rate Prompts in the 0-25% agreement bucket. | 14.6% |
| Average agreement Mean cross-model agreement rate. | 43.3% |
| Reports analyzed Distinct reports contributing to the benchmark. | 44,088 |
Population and method
Built from 797,644 valid comparisons across 44,088 reports and 8 models, covering 6,439,133 model responses in the observed window.
Where the evidence stops
Agreement is measured across recommendation outputs, not across hidden reasoning or retrieval context.
Average agreement can hide large differences between query classes and model pairs.
The study measures overlap, not which answer was objectively “right”.
What to do with this
- Track visibility across multiple models instead of using one platform as a proxy for the whole market.
- Prioritize query classes where disagreement is highest because that is where share can move fastest.
- Treat consensus as a benchmark, but treat divergence as the operating reality.
This matters because it turns a study finding into an operating rule teams can use when they decide what to publish, refresh, or measure next.
Questions about this answer.
Cite this answer.
Source study: Model Divergence“Mostly, the cost is that one visibility report cannot stand in for the whole market. A brand may gain or lose share on one model without seeing the same move elsewhere.”
Mack Grenfell · What is the operational cost of model divergence?
Same Question, Different AI, Different Answers · Trakkr Research · Updated 11 March 2026
Apply the finding
Different model outcomes create different optimisation tasks. Use the AEO versus GEO guide to divide the work before adding people or tools.
To manage that operating cost, use one cross-model share-of-voice denominator so model changes remain comparable over time.