Zero of fourteen models named Mercer Total Remuneration Survey first on the direct prompt; zero named Willis Towers Watson. Mercer Total Remuneration Survey was named by fourteen of the fourteen models and Willis Towers Watson by eight and Mercer Total Remuneration Survey carries 34 labels and Willis Towers Watson 13, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the compensation benchmarking data page.
Across every category in the November 2026 Edition, Mercer Total Remuneration Survey and Willis Towers Watson were named in the same answer twenty-six times, of the 92 answers naming Mercer Total Remuneration Survey and the 36 naming Willis Towers Watson. In those answers Willis Towers Watson took the first choice zero times and Mercer Total Remuneration Survey four.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | WT | |||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Providers to avoid or use carefully include: - Mercer, Willis Towers Watson (WTW), and Radford when the budget is tight” Muse Glimmer 30B · negative prompt · hard negative
“avoid traditional enterprise survey providers (like Radford/Aon, Mercer, or Willis Towers Watson” Gemini 3.5 Flash · budget prompt · hard negative
“Avoid for Mid-Market: Radford (Aon), Mercer, or Willis Towers Watson” Grok 4.20 · direct prompt · hard negative
“One of the most comprehensive and widely used surveys globally... Best for: Mid-sized companies seeking robust, benchmarked data” MiniMax M2.5 · paraphrase prompt · first choice
“Choose Mercer, WTW, Aon/Radford, or Korn Ferry for global compensation structures and job architecture.” Perplexity Sonar · comparative prompt · first choice
“If you need to set salary bands globally, choose Mercer for breadth.” Qwen 3.7 Flash · comparative prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“explicitly advise skipping these providers unless you have a significant budget and need deep integration capabilities” Muse Glimmer 30B · negative prompt · hard negative
“avoid traditional enterprise survey providers (like Radford/Aon, Mercer, or Willis Towers Watson” Gemini 3.5 Flash · budget prompt · hard negative
“Avoid for Mid-Market: Radford (Aon), Mercer, or Willis Towers Watson” Grok 4.20 · direct prompt · hard negative
“Need HR, compensation, or talent data? | Mercer, Korn Ferry, Aon/WTW” Kimi K2 · comparative prompt · first choice
“Best all-around: Mercer or WTW” GPT-5.4 mini · paraphrase prompt · first choice
“Highly trusted by board compensation committees and HR executives worldwide.” Gemini 3.5 Flash · paraphrase prompt · alternative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.