6 categories · RankediMocha
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant |
|---|---|---|---|---|---|---|
| Skills intelligence | Performance and talent management | 9% | 3 of 162 | 0% | 18 | accepted challenger |
| Candidate assessment | Talent acquisition | 2% | 5 of 101 | 6% | 16 | accepted challenger |
| Technical hiring assessments | Talent acquisition | 0% | 35 of 52 | 25% | 4 | under 10 labels · led by HackerRank at 28% |
| Succession planning | Performance and talent management | 0% | 89 of 99 | 0% | 1 | under 10 labels · led by Lattice at 31% |
| Talent intelligence | Performance and talent management | 0% | 42 of 77 | 0% | 1 | under 10 labels · led by Pin at 17% |
| Workforce planning | Workforce planning and analytics | 0% | 64 of 89 | 0% | 1 | under 10 labels · led by ChartHop at 31% |
Movement
By model
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 2 | 0 | 3 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 1 | 1 | 1 | 0 | 3 |
| Perplexity Sonar | 0 | 2 | 2 | 0 | 4 |
| Grok 4.1 Fast | 2 | 1 | 5 | 2 | 10 |
| Mistral Small | 2 | 1 | 2 | 0 | 5 |
| DeepSeek V4 Flash | 0 | 0 | 4 | 0 | 4 |
| Llama 4 Maverick | 0 | 1 | 1 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 0 | 2 | 0 | 2 |
| Kimi K2 | 0 | 2 | 1 | 0 | 3 |
| GLM 4.7 FlashX | 1 | 1 | 1 | 0 | 3 |
| MiniMax M2.5 | 0 | 1 | 1 | 0 | 2 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Ideal for technical, IT, and digital roles, offering a large library of coding and skills tests.” Mistral Small · Candidate assessment · paraphrase prompt · first choice
“Start with iMocha for its mid-market focus and comprehensive feature set” GLM 4.7 FlashX · Skills intelligence · direct prompt · first choice
“Start with TalentGuard or iMocha for most mid-market B2B” Grok 4.1 Fast · Skills intelligence · direct prompt · first choice
“Option A: iMocha (Best overall for B2B Tech & Skills Validation)” Gemini 3.5 Flash · Skills intelligence · paraphrase prompt · first choice
And against it
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.
“Criticized for rigid evaluation, artificial challenges, and limited real-world relevance” Grok 4.1 Fast · Technical hiring assessm · negative prompt · soft negative
“Less broad validation for non-tech” Grok 4.1 Fast · Candidate assessment · paraphrase prompt · soft negative
Named alongside
What carried it into the answer
Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 85 of the 89 answers that named iMocha and are not a share of its labels.
Domains cited
250 of the 250 domain citations in answers naming iMocha came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
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