| Category | Function | Share | Rank | Negative rate | Labels | Quadrant |
|---|---|---|---|---|---|---|
| Candidate assessment | Talent acquisition | 2% | 11 of 101 | 44% | 9 | under 10 labels · led by TestGorilla at 68% |
| Skills intelligence | Performance and talent management | 0% | 101 of 162 | 0% | 1 | under 10 labels · led by TalentGuard at 19% |
| Technical hiring assessments | Talent acquisition | 0% | 44 of 52 | 0% | 1 | under 10 labels · led by HackerRank at 28% |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 1 | 1 | 2 | 4 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 1 | 0 | 0 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
“TestGorilla or SHL would be the top recommendations” MiniMax M2.5 · Candidate assessment · direct prompt · first choice
“Large enterprise, compliance-driven, global: Mercer Mettl or SHL” DeepSeek V4 Flash · Candidate assessment · comparative prompt · alternative
“Enterprise assessments with proctoring → Mercer | Mettl, SHL” GPT-5.4 mini · Candidate assessment · comparative prompt · alternative
“Stick to established providers (e.g., Hogan, SHL, Criteria)” Qwen 3.7 Flash · Candidate assessment · negative prompt · alternative
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Enterprise-grade legacy platforms (like SHL, Predictive Index, or Hogan) require expensive annual contracts and formal setup fees.” Gemini 3.5 Flash · Candidate assessment · budget prompt · soft negative
“solid products, but pricing is less transparent or more customized, which usually makes them less budget-friendly” GPT-5.4 mini · Candidate assessment · budget prompt · soft negative
“strong enterprise platform, but typically more heavyweight than many mid-market teams need” GPT-5.4 mini · Candidate assessment · direct prompt · soft negative
“Predictive Index, Hogan, SHL are more suited for that, but they’re much more expensive” GLM 4.7 FlashX · Candidate assessment · budget prompt · soft negative
Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 43 of the 52 answers that named SHL and are not a share of its labels.
145 of the 145 domain citations in answers naming SHL came from somebody else's page.
Pages are listed as the models cited them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when SHL's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as SHL, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at shl.com is approved on the spot, any other address is reviewed by hand.
Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.