# Lever: how AI models rank it, September 2026

HR AI Recommendation Index, September 2026 Edition. Named in 117 judge labels across 9 categories by 12 of 12 models. Page: https://hr-ai-index.com/vendors/lever/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Recruiting CRM and sourcing | 20% | 1 | 0% | 16 |
| Interview scheduling | 8% | 6 | 18% | 28 |
| Applicant tracking systems | 7% | 4 | 12% | 43 |
| Recruitment marketing and career sites | 0% | 36 | 30% | 10 |
| AI recruiting assistants | 0% | 24 | 11% | 9 |
| Employee onboarding | 0% | 41 | 25% | 4 |
| Job advertising and distribution | 0% | 23 | 0% | 4 |
| Talent intelligence | 0% | 30 | 0% | 2 |
| Frontline employee apps | 0% | 59 | 0% | 1 |

## What the models said for it

- "If you want one default recommendation without more context, Lever is the best starting point for a mid-sized B2B in-house recruiting team." (Perplexity Sonar, Recruiting CRM)
- "Lever: Ideal for mid-sized in-house teams wanting an all-in-one ATS + CRM with native sourcing and nurturing capabilities" (Mistral Small, Recruiting CRM)
- "I'd start with Lever as the default recommendation due to its strong balance of CRM capabilities and ATS integration" (MiniMax M2.5, Recruiting CRM)
- "For a mid-market B2B company specifically, I'd recommend starting with Lever (if you want all-in-one)" (MiniMax M2.5, Recruiting CRM)

## And against it

- "its native scheduling tool is frequently cited by users as having the "absolute worst UX."" (Qwen 3.7 Flash, Interview scheduling)
- "avoid these on a limited budget" (DeepSeek V4 Flash, Applicant tracking syste)
- "Cons: Analytics are historically less robust than Ashby; since acquisition by Employ Inc., some users report slower product development cycles." (Gemini 3.5 Flash, Applicant tracking syste)
- "Less structured tools, pricier renewals ... they're overkill (and 2-5x costlier) for most mid-sized B2B ops" (Grok 4.1 Fast, Interview scheduling)

## 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.