# Willis Towers Watson: how AI models rank it, October 2026

HR AI Recommendation Index, October 2026 Edition. Named in 9 judge labels across 1 categories by 8 of 14 models. Page: https://hr-ai-index.com/vendors/willis-towers-watson/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Compensation benchmarking data | 0% | 146 | 56% | 9 |

## What the models said for it

- "their benchmarks are considered the definitive "source of truth" by corporate boards and compensation committees" (Gemini 3.5 Flash, Compensation benchmarkin)
- "WTW is known for highly detailed compensation surveys that help companies benchmark salaries" (Claude Haiku 4.5, Compensation benchmarkin)

## And against it

- "Avoid: Traditional survey providers like Mercer, Korn Ferry, or Willis Towers Watson" (GLM 4.7 FlashX, Compensation benchmarkin)
- "You typically want to avoid enterprise-level firms (like Mercer or Willis Towers Watson)" (Qwen 3.7 Flash, Compensation benchmarkin)
- ""Why you should avoid traditional providers (Mercer, Radford, Willis Towers Watson)"" (Muse Glimmer 30B, Compensation benchmarkin)
- "Avoid traditional providers like Mercer, Willis Towers Watson, or Aon at this stage" (DeepSeek V4 Flash, Compensation benchmarkin)

## Movement since September 2026

Floor: 13 points of share, measured on the calibration repeat. A larger change is movement; a smaller one is noise.

- Compensation benchmarking data: 0% to 0%, ±0. Inside the floor by 13 points · rank 42 → 146 of 148.

## Record

- Method: https://hr-ai-index.com/methodology/
- Raw judge labels and full responses: https://hr-ai-index.com/data/
- License: CC BY 4.0. Cite as HR AI Recommendation Index, October 2026 Edition, hr-ai-index.com.