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.
Mercer Total Remuneration Survey is first at 33%.
“Need HR, compensation, or talent data? | Mercer, Korn Ferry, Aon/WTW”Kimi K2 · Comparative question · first choice
“Best all-around: Mercer or WTW”GPT-5.4 mini · Paraphrase question · first choice
“Highly trusted by board compensation committees and HR executives worldwide.”Gemini 3.5 Flash · Paraphrase question · alternative
“explicitly advise skipping these providers unless you have a significant budget and need deep integration capabilities”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
“gold-standard but more expensive and better for larger enterprises. Avoid over-relying on them for mid-sized firms due to cost.”Grok 4.20 · Paraphrase question · warning
The products named in the same answers as Willis Towers Watson, over the 36 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 26 | 4 | Compare → | |
| 21 | 5 | Compare → | |
| 20 | 2 | Compare → | |
| 17 | 3 | Compare → | |
| 13 | 1 | Compare → | |
| 11 | 1 | View → | |
| 9 | 0 | Compare → | |
| 9 | 0 | View → | |
| 8 | 0 | Compare → | |
| 7 | 0 | View → |
What the models named instead of Willis Towers Watson →
A side-by-side page exists where both products are among a category's top eight.
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 →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 30 of the 36 answers that named Willis Towers Watson and are not a share of its labels.
No domain is on file for Willis Towers Watson, so its own site is not marked. Seven 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 are listed as the models cited them.
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 1 | 0 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 1 | 2 |
| Perplexity Sonar | 0 | 0 | 0 | 1 | 1 |
| Grok 4.20 | 0 | 0 | 1 | 2 | 3 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 1 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 1 | 0 | 1 |
| Kimi K2 | 1 | 0 | 2 | 0 | 3 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 1 | 1 |