Compensation benchmarking data · RankedMercer Total Remuneration Survey
Mercer Total Remuneration Survey is a compensation benchmarking data product from Mercer · mercer.com ↗
Strongest at enterprise, contested with Salary.com CompAnalyst. Ranked 161 of 162 for small business buyers.
The standing depends on who is buying. Every model is asked the same questions for each company size.
Pave is first at 19%.
Payscale is first at 18%. 0 of 14 models made it the first choice when asked directly.
Ranked first, contested: Salary.com CompAnalyst has 9%.
Why models recommend it
“One of the most comprehensive and widely used surveys globally... Best for: Mid-sized companies seeking robust, benchmarked data”MiniMax M2.5 · Paraphrase question · first choice
“Choose Mercer, WTW, Aon/Radford, or Korn Ferry for global compensation structures and job architecture.”Perplexity Sonar · Comparative question · first choice
“If you need to set salary bands globally, choose Mercer for breadth.”Qwen 3.7 Flash · Comparative question · first choice
“Need HR, compensation, or talent data? | Mercer, Korn Ferry, Aon/WTW”Kimi K2 · Comparative question · first choice
What gives them pause
“Providers to avoid or use carefully include: - Mercer, Willis Towers Watson (WTW), and Radford when the budget is tight”Muse Glimmer 30B · Negative question · warning
“avoid traditional enterprise survey providers (like Radford/Aon, Mercer, or Willis Towers Watson”Gemini 3.5 Flash · Budget-constrained question · warning
“Avoid for Mid-Market: Radford (Aon), Mercer, or Willis Towers Watson”Grok 4.20 · Direct question · warning
“you may also be too small to fully exploit the traditional enterprise survey houses (Mercer, Radford, WTW) unless you have the resources to participate in data submission and manage their complexity”DeepSeek V4 Flash · Scale-constrained question · warning
Also on the shortlist
The products named in the same answers as Mercer Total Remuneration Survey, over the 92 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 53 | 15 | Compare → | |
| 45 | 2 | Compare → | |
| 44 | 4 | Compare → | |
| 42 | 9 | Compare → | |
| 28 | 0 | View → | |
| 26 | 0 | Compare → | |
| 23 | 1 | View → | |
| 18 | 1 | View → | |
| 18 | 0 | Compare → | |
| 12 | 3 | View → |
What the models named instead of Mercer Total Remuneration Survey →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on Mercer Total Remuneration Survey's own site, not checked by Gane.
- For
- HR reward professionals and CFOs
- Price stated
- $11,150 Participant; $22,300 Non Participant
- Starting price
- 11150
- Also from Mercer
- Mercer Benchmark Database, Mercer IBE, Mercer LLC, Mercer MarketPricer, Mercer Pay Equity, Mercer | Mettl
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 77 of the 92 answers that named Mercer Total Remuneration Survey and are not a share of its labels.
Domains cited
196 of the 224 domain citations in answers naming Mercer Total Remuneration Survey came from a third party's page. Fourteen were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-5.4 mini | 1 | 0 | 1 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 0 | 1 | 1 | 2 |
| Perplexity Sonar | 1 | 0 | 0 | 3 | 4 |
| Grok 4.20 | 0 | 0 | 0 | 4 | 4 |
| Mistral Small | 0 | 1 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 2 | 3 |
| Llama 4 Maverick | 0 | 1 | 0 | 0 | 1 |
| Qwen 3.7 Flash | 1 | 1 | 0 | 1 | 3 |
| Kimi K2 | 1 | 1 | 1 | 1 | 4 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 1 | 2 |
| MiniMax M2.5 | 1 | 0 | 0 | 1 | 2 |
| GPT-6 Luna | 0 | 1 | 0 | 1 | 2 |
| Muse Glimmer 30B | 0 | 0 | 1 | 2 | 3 |