# SHL: how AI models rank it, September 2026

HR AI Recommendation Index, September 2026 Edition. Named in 11 judge labels across 3 categories by 8 of 12 models. Page: https://hr-ai-index.com/vendors/shl/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Candidate assessment | 2% | 11 | 44% | 9 |
| Skills intelligence | 0% | 101 | 0% | 1 |
| Technical hiring assessments | 0% | 44 | 0% | 1 |

## What the models said for it

- "TestGorilla or SHL would be the top recommendations" (MiniMax M2.5, Candidate assessment)
- "Large enterprise, compliance-driven, global: Mercer Mettl or SHL" (DeepSeek V4 Flash, Candidate assessment)
- "Enterprise assessments with proctoring → Mercer | Mettl, SHL" (GPT-5.4 mini, Candidate assessment)
- "Stick to established providers (e.g., Hogan, SHL, Criteria)" (Qwen 3.7 Flash, Candidate assessment)

## And against it

- "Enterprise-grade legacy platforms (like SHL, Predictive Index, or Hogan) require expensive annual contracts and formal setup fees." (Gemini 3.5 Flash, Candidate assessment)
- "solid products, but pricing is less transparent or more customized, which usually makes them less budget-friendly" (GPT-5.4 mini, Candidate assessment)
- "strong enterprise platform, but typically more heavyweight than many mid-market teams need" (GPT-5.4 mini, Candidate assessment)
- "Predictive Index, Hogan, SHL are more suited for that, but they’re much more expensive" (GLM 4.7 FlashX, Candidate assessment)

## Record

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