# Marquis Who's Who: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 1 judge label across 1 category by 1 of 14 models. Page: https://www.gane.ai/index/hr/vendors/marquis-who-s-who

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Recognition and rewards](https://www.gane.ai/index/hr/experience/recognition-and-rewards/index.md) | 0% | 88 | 100% | 1 |

## And against it

- "notes scammers often impersonate legitimate biographical publishers such as Marquis Who's Who and then try to convince you to pay for the recognition or listing" (Muse Glimmer 30B, Recognition and rewards)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| 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 | 0 | 0 | 1 | 1 |

## Sources returned with these answers

The sites and pages cited by the answers that named Marquis Who's Who, from 1 of the 1 answers that named it (only the models that return a source list).

### Domains cited

- aarp.org: 1
- awardco.com: 1
- capterra.com: 1
- courierherald.com: 1
- davidsonmorris.com: 1
- docs.aws.amazon.com: 1
- ftc.gov: 1
- octanner.com: 1
- pmc.ncbi.nlm.nih.gov: 1
- reddit.com: 1

### Pages cited

- https://aarp.org/money/scams-fraud/beware-the-whos-who-directory-scam: 1
- https://awardco.com/blog/employee-recognition-mistakes-large-companies-make-and-helpful-solutions: 1
- https://capterra.com/employee-recognition-software: 1
- https://courierherald.com/2016/06/22/award-scam-a-big-loser-better-business-bureau-2: 1
- https://davidsonmorris.com/employee-recognition-software: 1
- https://docs.aws.amazon.com/rekognition/latest/dg/considerations-public-safety-use-cases.md: 1
- https://ftc.gov/news-events/news/press-releases/2012/10/ftc-recommends-best-practices-companies-use-facial-recognition-technologies: 1
- https://ftc.gov/sites/default/files/documents/reports/facing-facts-best-practices-common-uses-facial-recognition-technologies/121022facialtechrpt.pdf: 1

## Record

- Method: https://www.gane.ai/index/hr/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/hr.