# Fetcher: how AI models rank it, October 2026

HR AI Recommendation Index, October 2026 Edition. Named in 11 judge labels across 2 categories by 7 of 14 models. Page: https://hr-ai-index.com/vendors/fetcher/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Recruiting CRM and sourcing | 0% | 23 | 0% | 8 |
| AI recruiting assistants | 0% | 30 | 0% | 3 |

## What the models said for it

- "Best value-oriented options to evaluate: Fetcher, SeekOut, and Findem" (Perplexity Sonar, Recruiting CRM)
- "Tools like Juicebox, Fetcher, or Leonar offer free tiers to test functionality" (Kimi K2, Recruiting CRM)
- "Fetcher/Pin for end-to-end autonomous sourcing and engagement" (Muse Glimmer 30B, Recruiting CRM)
- "For outbound automation: hireEZ or Fetcher." (Mistral Small, Recruiting CRM)

## Movement since September 2026

Floor: 13 points of share, measured on the calibration repeat. A larger change is movement; a smaller one is noise.

- Recruiting CRM and sourcing: 0% to 0%, ±0. Inside the floor by 13 points · rank 21 → 23 of 111.
- AI recruiting assistants: 0% to 0%, ±0. Inside the floor by 13 points · rank 23 → 30 of 90.

## 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.