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

HR AI Recommendation Index, October 2026 Edition. 226 of the 252 answers in the 1 category where SalaryCube 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/salarycube/alternatives/

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

- Pave: 34
- Mercer Total Remuneration Survey: 32
- Payscale: 20
- Comprehensive.io: 10
- Radford: 10
- Salary.com CompAnalyst: 7

## Compensation benchmarking data

**Small business**: 78 of 84 answers did not name SalaryCube.

- Pave: first choice in 20 of those 78
- Payscale: first choice in 7 of those 78
- Comprehensive.io: first choice in 6 of those 78
- Salary.com CompAnalyst: first choice in 4 of those 78
- Pave Market Data Lite: first choice in 3 of those 78
- Bureau of Labor Statistics: first choice in 2 of those 78
- Carta Total Compensation: first choice in 2 of those 78
- Databox: first choice in 2 of those 78

**Mid-market**: 73 of 84 answers did not name SalaryCube (SalaryCube is #3 of 13 at 10%).

- Pave: first choice in 12 of those 73
- Payscale: first choice in 9 of those 73
- Mercer Total Remuneration Survey: first choice in 6 of those 73
- Comprehensive.io: first choice in 4 of those 73
- Ravio: first choice in 3 of those 73
- Salary.com CompAnalyst: first choice in 3 of those 73
- Radford: first choice in 2 of those 73
- WTW: first choice in 2 of those 73

**Enterprise**: 75 of 84 answers did not name SalaryCube (SalaryCube is #4 of 12 at 5%).

- Mercer Total Remuneration Survey: first choice in 26 of those 75
- Radford: first choice in 8 of those 75
- Payscale: first choice in 4 of those 75
- Deloitte: first choice in 3 of those 75
- Willis Towers Watson: first choice in 3 of those 75
- Aon's Radford McLagan Compensation Database: first choice in 2 of those 75
- Gartner: first choice in 2 of those 75
- Pave: first choice in 2 of those 75

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