# Aon's Radford McLagan Compensation Database: how AI models rank it, October 2026

HR AI Recommendation Index, October 2026 Edition. Named in 6 judge labels across 1 categories by 4 of 14 models. Page: https://hr-ai-index.com/vendors/aon-s-radford-mclagan-compensation-database/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Compensation benchmarking data | 0% | 124 | 50% | 6 |

## What the models said for it

- "For salary and benefits: Aon, Mercer, or WTW" (GPT-6 Luna, Compensation benchmarkin)
- "Aon is a major player in compensation, benefits, and risk benchmarking." (Qwen 3.7 Flash, Compensation benchmarkin)

## And against it

- "Avoid traditional providers like Mercer, Willis Towers Watson, or Aon at this stage" (DeepSeek V4 Flash, Compensation benchmarkin)
- "too expensive for the return on investment, unless you need specific Benefits data bundled in (which Aon excels at)" (Qwen 3.7 Flash, Compensation benchmarkin)
- "Verify their methodology and data freshness before relying on them." (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 45 → 124 of 148.

## In its own words

What Aon's Radford McLagan Compensation Database's own pages state, read 2026-10-05. Stated by the vendor, not checked by the index.

- Positioning: Raising the Bar for Compensation Intelligence (https://www.aon.com/en/capabilities/human-capital-analytics/radford-mclagan-compensation-database)
- For: compensation teams (https://www.aon.com/en/capabilities/human-capital-analytics/radford-mclagan-compensation-database)

## What it publishes

Every page aon.com exposes, read 2026-09-29: 9723 addresses. By kind, pages and the last 90 days:

- blog: 957 pages, 0 in the last 90 days, latest undated
- case study: 34 pages, 0 in the last 90 days, latest undated
- webinar or virtual event: 75 pages, 0 in the last 90 days, latest undated
- conference or event: 85 pages, 0 in the last 90 days, latest undated
- report or ebook: 112 pages, 0 in the last 90 days, latest undated
- comparison: 11 pages, 0 in the last 90 days, latest undated
- template or tool: 6 pages, 0 in the last 90 days, latest undated
- glossary or explainer: 58 pages, 0 in the last 90 days, latest undated
- podcast or video: 38 pages, 0 in the last 90 days, latest undated
- news or press: 626 pages, 0 in the last 90 days, latest undated

## 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.