Compensation management · Named, not rankedMercer IBE
Named, too few times to rank.
A product needs 10 labels in a category before a share is stated. Mercer IBE has 6.
Why models recommend it
“Look for platforms that use employer-submitted, HRIS-verified data (e.g., Pave, Radford/Aon, Mercer, or Carta)”Gemini 3.5 Flash · Negative question · alternative
“use Radford/Mercer/WTW for formal, auditable enterprise benchmarking and board reporting”Muse Glimmer 30B · Comparative question · alternative
What gives them pause
“rather than paying for high-cost surveys (e.g., Mercer or Radford)”Gemini 3.5 Flash · Budget-constrained question · warning
Also on the shortlist
The products named in the same answers as Mercer IBE, over the 13 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 9 | 4 | View → | |
| 9 | 2 | View → | |
| 9 | 0 | View → | |
| 8 | 0 | View → | |
| 7 | 0 | View → | |
| 5 | 2 | View → | |
| 5 | 0 | View → | |
| 5 | 0 | View → | |
| 4 | 1 | View → | |
| 4 | 1 | View → |
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on Mercer IBE's own site, not checked by Gane.
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 8 of the 13 answers that named Mercer IBE and are not a share of its labels.
Domains cited
Thirty-five of the thirty-five domain citations in answers naming Mercer IBE came from a third party's page.
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 | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 2 | 1 | 4 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| 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 | 1 | 0 | 0 | 1 |