# Why are comparison queries the most stable query class? | Trakkr Research

Canonical URL: https://trakkr.ai/trakkr-research/model-divergence/answers/why-are-comparison-queries-the-most-stable-query-class
Published: 2026-03-11
Last updated: 2026-03-11
Author: Mack Grenfell

Because they constrain the answer space more than open-ended best-of or general prompts. In the study, comparison queries reached 50.4% average agreement, the highest of the tracked query families.

## 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, because they constrain the answer space more than open-ended best-of or general prompts. Comparison queries reached 50.4% average agreement, the highest of the tracked query families.

## What this means

Understanding query stability allows teams to allocate resources effectively, prioritizing content formats that either lock in consensus or exploit high-variance opportunities in the market.

## Evidence table

| Metric | Value | Why it matters |
| --- | --- | --- |
| Comparison-query agreement | 50.4% | Comparison prompts produce the highest average agreement. |
| General-query agreement | 42.2% | General prompts are less stable across models. |

## Frequently Asked Questions

### What is the average agreement rate for comparison queries?

Comparison queries reached a 50.4% average agreement rate across models.

### How do general queries perform compared to comparison queries?

General prompts are less stable across models, showing a lower agreement rate of 42.2%.

## What to do next

- [Track visibility across multiple models instead of using one platform as a proxy for the whole market.](https://trakkr.ai/trakkr-research/model-divergence/answers/why-are-comparison-queries-the-most-stable-query-class#next-step-1)
- [Prioritize query classes where disagreement is highest because that is where share can move fastest.](https://trakkr.ai/trakkr-research/model-divergence/answers/why-are-comparison-queries-the-most-stable-query-class#next-step-2)
- [Treat consensus as a benchmark, but treat divergence as the operating reality.](https://trakkr.ai/trakkr-research/model-divergence/answers/why-are-comparison-queries-the-most-stable-query-class#next-step-3)

## Related pages

Continue through the same study cluster.

- [do ai models recommend the same brands](https://trakkr.ai/trakkr-research/model-divergence/answers/do-ai-models-recommend-the-same-brands) - Related answer page
- [how often is there perfect consensus across models](https://trakkr.ai/trakkr-research/model-divergence/answers/how-often-is-there-perfect-consensus-across-models) - Related answer page
- [high divergence prompts make up fourteen point six percent of the study](https://trakkr.ai/trakkr-research/model-divergence/facts/high-divergence-prompts-make-up-fourteen-point-six-percent-of-the-study) - Related fact page
- [cross model consensus tracker](https://trakkr.ai/trakkr-research/model-divergence/trackers/cross-model-consensus-tracker) - Related tracker page

## Data And Sources

- [Same Question, Different AI, Different Answers](https://trakkr.ai/trakkr-research/model-divergence) - Flagship study behind this page
- [Page JSON](https://trakkr.ai/data/research-answers/model-divergence/answers/why-are-comparison-queries-the-most-stable-query-class.json) - Machine-readable companion file