# Recruiting CRM and sourcing for enterprise buyers: what AI models recommend, October 2026

HR AI Recommendation Index, October 2026 Edition. Asked as "candidate sourcing tool" and as "recruiting CRM", six framings each, to fourteen models with search on, on behalf of an enterprise B2B company. Page: https://hr-ai-index.com/talent/recruiting-crm-and-sourcing/enterprise/

**Standing:** SeekOut leads with 18% of first choices; verdict contested. 51 first choices across the direct, paraphrase, budget and scale prompts.

## First-choice share

| # | Product | Share | Negative rate | Labels |
|---|---|---|---|---|
| 1 | SeekOut | 18% | 26% | 31 |
| 2 | Gem | 14% | 17% | 29 |
| 3 | Eightfold AI | 12% | 14% | 22 |
| 4 | Beamery | 12% | 29% | 21 |
| 5 | iCIMS | 10% | 32% | 19 |
| 6 | LinkedIn Recruiter | 6% | 52% | 29 |
| 7 | hireEZ | 4% | 20% | 25 |
| 8 | Greenhouse | 4% | 9% | 11 |
| 9 | Jaggaer | 0% | 0% | 11 |
| 10 | Lever | 0% | 10% | 10 |
| 11 | Coupa | 0% | 36% | 11 |
| 12 | SAP Ariba | 0% | 43% | 14 |

## Each model's first choice on the direct prompt

- Claude Haiku 4.5: no first choice
- GPT-5.4 mini: SeekOut; alternatives Bullhorn, Eightfold AI, Greenhouse, hireEZ
- Gemini 3.5 Flash: SeekOut; alternatives Gem, hireEZ
- Perplexity Sonar: Gem; alternatives Lever, LinkedIn Recruiter, SeekOut, hireEZ
- Grok 4.1 Fast: LinkedIn Recruiter; alternatives Beamery, Eightfold AI, Gem, SeekOut
- Mistral Small: Eightfold AI, hireEZ; alternatives Phenom, SmartRecruiters
- DeepSeek V4 Flash: Gem; alternatives Eightfold AI, Greenhouse, Lever, SeekOut
- Llama 4 Maverick: Phenom; alternatives Intervue, hireEZ
- Qwen 3.7 Flash: SeekOut, hireEZ; alternatives Gem
- Kimi K2: Gem; alternatives Eightfold AI, SeekOut, hireEZ
- GLM 4.7 FlashX: SeekOut; alternatives Eightfold AI, Greenhouse, hireEZ, iCIMS
- MiniMax M2.5: Eightfold AI, SeekOut; alternatives Gem, Greenhouse, Lever, SmartRecruiters
- GPT-6 Luna: LinkedIn Recruiter; alternatives Gem, SeekOut
- Muse Glimmer 30B: Entelo, SeekOut; alternatives Eightfold AI

## Sources the answers cite

79 of 84 answers came back with a source list, from 14 of 14 models. Sites named in the most answers:

- pin.com: 39 answers, 96 citations
- lever.co: 34 answers, 42 citations
- leonar.app: 26 answers, 31 citations
- intervue.io: 25 answers, 25 citations
- selectsoftwarereviews.com: 24 answers, 26 citations
- metaview.ai: 23 answers, 28 citations
- guideflow.com: 20 answers, 22 citations
- peoplemanagingpeople.com: 19 answers, 24 citations

Pages named in the most answers:

- https://lever.co/insights/best-candidate-sourcing-tools (26 answers)
- https://intervue.io/blog/best-candidate-sourcing-software (22 answers)
- https://leonar.app/blog/best-talent-sourcing-platforms (22 answers)
- https://selectsoftwarereviews.com/buyer-guide/best-candidate-sourcing-tools (22 answers)
- https://pin.com/blog/candidate-sourcing-software (21 answers)
- https://pin.com/blog/candidate-sourcing-tools (17 answers)
- https://metaview.ai/resources/blog/best-crm-for-recruitment (11 answers)
- https://sapia.ai/resources/blog/ai-sourcing-tools-for-recruiting (11 answers)
- https://sitepoint.com/best-sourcing-tools-for-recruiters (11 answers)
- https://gem.com/blog/candidate-sourcing-software (9 answers)

## Warned against

- LinkedIn Recruiter: 15 of 29 labels negative. "you want to avoid per-seat / per-InMail / credit models. LinkedIn Recruiter and most per-user sourcing stacks get very expensive and unpredictable" (Muse Glimmer 30B, budget prompt)
- SeekOut: 8 of 31 labels negative. "Why to Avoid for Large-Scale Predictability: Most enterprise platforms like SeekOut (typically $10,000+ annually per recruiter)" (Claude Haiku 4.5, budget prompt)
- SAP Ariba: 6 of 14 labels negative. "frequently cited as costly for the value they deliver and are sometimes considered outdated for current enterprise needs" (Mistral Small, negative prompt)
- hireEZ: 5 of 25 labels negative. "Poor. Strongly optimized for dedicated sourcing teams rather than casual company-wide users." (Gemini 3.5 Flash, budget prompt)

## Movement since September 2026

Floor: 13 points of share, measured on the calibration repeat.
New leader: Beamery (20%) to SeekOut (19%). Margin 9 points, within noise.

- LinkedIn Recruiter: 15% to 2%, −13. Inside the floor by 0 points · rank 3 → 14 of 72.
- Beamery: 20% to 9%, −11. Inside the floor by 2 points · rank 1 → 5 of 72.
- iCIMS: 2% to 12%, +9. Inside the floor by 4 points · rank 11 → 4 of 72.
- Eightfold AI: 5% to 14%, +9. Inside the floor by 4 points · rank 6 → 3 of 72.
- Lever: 8% to 0%, −8. Inside the floor by 5 points · rank 5 → 16 of 72.
- Gem: 10% to 16%, +6. Inside the floor by 7 points · rank 4 → 2 of 72.
- Greenhouse: 0% to 5%, +5. Inside the floor by 8 points · rank 19 → 7 of 72.
- SeekOut: 15% to 19%, +4. Inside the floor by 9 points · rank 2 → 1 of 72.
- hireEZ: 5% to 5%, ±0. Inside the floor by 13 points · rank 7 → 6 of 72.
- Jaggaer: 0% to 0%, ±0. Inside the floor by 13 points · rank 16 → 15 of 72.
- Coupa: 0% to 0%, ±0. Inside the floor by 13 points · rank 14 → 24 of 72.
- SAP Ariba: 0% to 0%, ±0. Inside the floor by 13 points · rank 24 → 50 of 72.

## 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, October 2026 Edition, hr-ai-index.com.