# Payfactors: how AI models rank it, October 2026

HR AI Recommendation Index, October 2026 Edition. Named in 10 judge labels across 3 categories by 7 of 14 models. Page: https://hr-ai-index.com/vendors/payfactors/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Compensation management | 2% | 20 | 17% | 6 |
| Compensation benchmarking data | 0% | 37 | 0% | 2 |
| Pay equity | 0% | 29 | 0% | 2 |

## What the models said for it

- "I'd recommend Payfactors (now part of UKG) as a strong starting point for salary planning and compensation reviews" (Grok 4.1 Fast, Compensation management)
- "Payfactors is the cheapest entry for compensation teams doing market-based statement workflows" (Muse Glimmer 30B, Pay equity)
- "is a strong fit for mid-market teams that need large, diverse datasets" (Perplexity Sonar, Compensation benchmarkin)
- "*Best for Multi-Source Data*" (Kimi K2, Compensation benchmarkin)

## And against it

- "their results can vary by as much as 35% for benchmark jobs... methodologies and data sources are often hidden behind proprietary black boxes" (Muse Glimmer 30B, Compensation management)

## 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 management: 1% to 2%, +1. Inside the floor by 12 points · rank 23 → 20 of 140.
- Compensation benchmarking data: 0% to 0%, ±0. Inside the floor by 13 points · rank 39 → 37 of 148.
- Pay equity: 0% to 0%, ±0. New · not ranked in September 2026 · rank 29 of 73.

## 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.