# HypeAuditor: how AI models rank it, September 2026

GTM AI Recommendation Index, September 2026 Edition. Named in 24 judge labels across 1 categories by 9 of 12 models. Page: https://gtm-ai-index.com/vendors/hypeauditor/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Influencer platforms | 0% | 19 | 12% | 24 |

## What the models said for it

- "HypeAuditor — Best-in-class for fraud detection and audience authenticity" (DeepSeek V4 Flash, Influencer)
- "a specialist vetting tool (HypeAuditor/Modash) for fraud/audience checks before signing" (DeepSeek V4 Flash, Influencer)
- "Need to vet influencers for authenticity | HypeAuditor's free tools" (Kimi K2, Influencer)
- "HypeAuditor — strong on audience analysis and authenticity vetting" (MiniMax M2.5, Influencer)

## And against it

- "Good for fraud detection, but can be excessive if you only need a simple, inexpensive creator database." (Perplexity Sonar, Influencer)
- "Free Testing, Expensive Scaling ... need significant budget for full features" (GLM 4.7 FlashX, Influencer)
- "Less B2B-focused; no LinkedIn depth" (DeepSeek V4 Flash, Influencer)

## Record

- Method: https://gtm-ai-index.com/methodology/
- Raw judge labels and full responses: https://gtm-ai-index.com/data/
- License: CC BY 4.0. Cite as GTM AI Recommendation Index, September 2026 Edition, gtm-ai-index.com.