# Leapsome: how AI models rank it, September 2026

HR AI Recommendation Index, September 2026 Edition. Named in 128 judge labels across 13 categories by 12 of 12 models. Page: https://hr-ai-index.com/vendors/leapsome/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Goals and OKRs | 4% | 7 | 5% | 20 |
| Performance management | 2% | 8 | 6% | 31 |
| 360 feedback | 0% | 16 | 3% | 31 |
| Employee engagement surveys | 0% | 13 | 0% | 13 |
| Succession planning | 0% | 21 | 0% | 12 |
| People analytics | 0% | 27 | 25% | 8 |
| HR AI assistants | 0% | 31 | 0% | 4 |
| Leave and absence management | 0% | 31 | 0% | 4 |
| Coaching platforms | 0% | 72 | 0% | 1 |
| Employee onboarding | 0% | 40 | 0% | 1 |
| HRIS and HCM platforms | 0% | 22 | 0% | 1 |
| Internal talent marketplace | 0% | 54 | 0% | 1 |
| Skills intelligence | 0% | 59 | 0% | 1 |

## What the models said for it

- "For a mid-sized B2B company, Leapsome is often the most recommended for its balance of features, ease of use, and scalability." (Mistral Small, Goals and OKRs)
- "or Leapsome (analytics embedded with engagement) that offer pre-built connectors without needing a data engineer" (DeepSeek V4 Flash, People analytics)
- "Leaders in this category typically include Lattice, Culture Amp, 15Five, Leapsome, and PerformYard." (Gemini 3.5 Flash, Performance management)
- "Primary Recommendation: Leapsome" (MiniMax M2.5, Goals and OKRs)

## And against it

- "Enterprise-heavy suites when you're a small/mid company (e.g., Culture Amp, Lattice, Leapsome, 15Five)" (DeepSeek V4 Flash, 360 feedback)
- "caution is advised if you need specialized people analytics or large-enterprise workforce modeling" (Perplexity Sonar, People analytics)
- "HR-suite "goals modules" (Lattice, Leapsome, ...) ... Risky if you want dedicated OKR tracking" (MiniMax M2.5, Goals and OKRs)
- "Leapsome: has a real admin learning curve and thinner native integrations than peers." (Llama 4 Maverick, Performance management)

## 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.