# Comprehensive.io vs Mercer: which do AI models recommend for compensation benchmarkin, September 2026

HR AI Recommendation Index, September 2026 Edition, Compensation benchmarking data. Zero of twelve models named Comprehensive.io first on the direct prompt; zero named Mercer. Page: https://hr-ai-index.com/rewards/compensation-benchmarking-data/comprehensive-io-vs-mercer/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Comprehensive.io | 12% | #3 of 8 | 0% | 12 | 11 of 12 |
| Mercer | 6% | #4 of 8 | 43% | 28 | 10 of 12 |

## The direct prompt, model by model

- Kimi K2: neither first, one named (first choices: Payscale, SalaryCube) (alternatives: Mercer, Radford, Salary.com)
- GLM 4.7 FlashX: neither first, one named (first choices: Pave) (alternatives: Aon Radford, CaptivateIQ, Ficstar, Mercer, OpenComp, Payscale Ascent, Ravio, Salary.com CompAnalyst)
- MiniMax M2.5: neither first, one named (first choices: Payscale) (alternatives: Comprehensive.io)
- Claude Haiku 4.5: neither named (first choices: Payscale) (alternatives: Lattice, SalaryCube, beqom)
- GPT-5.4 mini: neither named (first choices: Payscale) (alternatives: Radford, Salary.com)
- Gemini 3.5 Flash: neither named (first choices: Pave) (alternatives: Carta Total Comp, Figures, Payscale, Radford, Ravio, Salary.com)
- Perplexity Sonar: neither named (first choices: Payscale) (alternatives: Ravio, SalaryCube)
- Grok 4.1 Fast: neither named (first choices: Payscale) (alternatives: Pave, Salary.com)
- Mistral Small: neither named (first choices: SalaryCube) (alternatives: Pave, Payfactors, Salary.com)
- DeepSeek V4 Flash: neither named (first choices: Payscale) (alternatives: ERI, Pave, Ravio, Salary.com)
- Llama 4 Maverick: neither named (first choices: Payscale)
- Qwen 3.7 Flash: neither named (first choices: Payscale) (alternatives: Pave, Payfactors, Salary.com, SalaryCube)

## What the models said about Comprehensive.io

- "three free salary benchmarking tools cover most needs at zero cost: Pave (tech roles, under 200 employees), Comprehensive.io (US tech daily data), and BLS OEWS" (Claude Haiku 4.5, budget prompt, first choice)
- "Free daily-refreshed tech salary data from 6,000+ U.S. companies (no participation needed) ... Great for startups/lean teams." (Grok 4.1 Fast, budget prompt, first choice)
- "Pave and Comprehensive.io are currently leading the market for affordable or free options" (Qwen 3.7 Flash, budget prompt, first choice)

## What the models said about Mercer

- "Avoid over-investing in Mercer/WTW unless you have global complexity" (Kimi K2, paraphrase prompt, hard negative)
- "Avoid traditional surveys (Mercer/Radford: $10k+/year) unless scaling." (Grok 4.1 Fast, budget prompt, hard negative)
- "high-end, legacy enterprise surveys like Mercer, Radford (Aon), or Willis Towers Watson (WTW)—which can easily cost $20,000 to $40,000+ annually—are generally out of reach" (Gemini 3.5 Flash, budget prompt, soft negative)
- "Buy one major survey (like Robert Half or Mercer) to ensure you are paying within the 25th–75th percentiles" (Qwen 3.7 Flash, paraphrase prompt, first choice)
- "The strongest fit from the results is Mercer or Salary.com/Compdata for broad benchmarking" (Perplexity Sonar, paraphrase prompt, first choice)
- "Especially strong in pay and total rewards benchmarking, plus HR strategy." (GPT-5.4 mini, comparative prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.