# Gartner alternatives: what AI models name instead, October 2026

HR AI Recommendation Index, October 2026 Edition. 240 of the 252 answers in the 1 category where Gartner holds a standing named it neither first nor as an alternative; these are the first choices those answers made. Page: https://hr-ai-index.com/vendors/gartner/alternatives/

## Named instead, most often (every category and segment added)

- Pave: 38
- Mercer Total Remuneration Survey: 31
- Payscale: 24
- Radford: 13
- Comprehensive.io: 10
- Salary.com CompAnalyst: 9

## Compensation benchmarking data

**Small business**: 84 of 84 answers did not name Gartner.

- Pave: first choice in 22 of those 84
- Payscale: first choice in 9 of those 84
- Comprehensive.io: first choice in 6 of those 84
- Salary.com CompAnalyst: first choice in 4 of those 84
- Pave Market Data Lite: first choice in 3 of those 84
- Bureau of Labor Statistics: first choice in 2 of those 84
- Carta Total Compensation: first choice in 2 of those 84
- Databox: first choice in 2 of those 84

**Mid-market**: 79 of 84 answers did not name Gartner (Gartner is #11 of 13 at 0%).

- Pave: first choice in 12 of those 79
- Payscale: first choice in 11 of those 79
- SalaryCube: first choice in 6 of those 79
- Mercer Total Remuneration Survey: first choice in 5 of those 79
- Ravio: first choice in 5 of those 79
- Salary.com CompAnalyst: first choice in 5 of those 79
- Comprehensive.io: first choice in 4 of those 79
- Radford: first choice in 3 of those 79

**Enterprise**: 77 of 84 answers did not name Gartner (Gartner is #12 of 12 at 0%).

- Mercer Total Remuneration Survey: first choice in 26 of those 77
- Radford: first choice in 10 of those 77
- Pave: first choice in 4 of those 77
- Payscale: first choice in 4 of those 77
- Aon's Radford McLagan Compensation Database: first choice in 3 of those 77
- SalaryCube: first choice in 3 of those 77
- Willis Towers Watson: first choice in 3 of those 77
- Pave Market Data Pro: first choice in 2 of those 77

Published under CC BY 4.0. The output is the models' output; nothing here is a recommendation by the index.