# Gem: how AI models rank it, October 2026

Finance AI Recommendation Index, October 2026 Edition. Named in 11 judge labels across 1 categories by 11 of 14 models. Page: https://finance-ai-index.com/vendors/gem/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Strategic sourcing | 0% | 20 | 0% | 11 |

## What the models said for it

- "Gem is best for LinkedIn‑centric teams that want AI search + CRM + outreach automation." (GLM 4.7 FlashX, Strategic sourcing)
- "Look closely at Gem if candidates are getting lost between searches, follow-ups, and your ATS." (GPT-6 Luna, Strategic sourcing)
- "Gem — Best for Candidate Relationship Management with integrated CRM" (Claude Haiku 4.5, Strategic sourcing)
- "Built for teams wanting sourcing + nurture campaigns in one platform" (Kimi K2, Strategic sourcing)

## Movement since September 2026

Floor: 10 points of share, measured on the calibration repeat. A larger change is movement; a smaller one is noise.

- Strategic sourcing: 0% to 0%, ±0. Inside the floor by 10 points · rank 18 → 20 of 128.

## In its own words

What Gem's own pages state, read 2026-09-28. Stated by the vendor, not checked by the index.

- Positioning: The AI-first all-in-one recruiting platform — ATS, CRM, sourcing, scheduling, and analytics. (https://gem.com/)
- For: talent acquisition teams (https://gem.com/)
- Price stated: Flexible pricing based on your needs. Early-stage startups get their first six months free through Gem's Startup Program, with 50% off the first paid year — starting as low as $135/month for the full platform. Enterprise teams on Greenhouse or Workday can add Gem's AI agents with custom pricing. (https://gem.com/)
- Starting price: 135 (https://gem.com/)
- Free plan or trial: first six months free through Gem's Startup Program (https://gem.com/)
- Customers named: OneMedical, Celestica, eBay, GitLab, Amazon OneMedical, Anthropic, Robinhood, Figma

## What it publishes

Every page gem.com exposes, read 2026-09-29: 9422 addresses. By kind, pages and the last 90 days:

- blog: 317 pages, 1 in the last 90 days, latest 2026-08-04
- case study: 25 pages, 0 in the last 90 days, latest 2026-06-09
- webinar or virtual event: 19 pages, 2 in the last 90 days, latest 2026-08-06
- conference or event: 10 pages, 0 in the last 90 days, latest undated
- report or ebook: 34 pages, 0 in the last 90 days, latest 2025-10-22
- comparison: 28 pages, 0 in the last 90 days, latest 2026-01-14
- template or tool: 5 pages, 0 in the last 90 days, latest 2026-01-07
- glossary or explainer: 20 pages, 0 in the last 90 days, latest 2026-02-27
- news or press: 1 pages, 0 in the last 90 days, latest undated
- Recent: 2026-08-06 webinar or virtual event: Fraud resistant hiring webinar https://www.gem.com/resource/fraud-resistant-hiring-webinar
- Recent: 2026-08-04 blog: Introducing gem mcp https://www.gem.com/blog/introducing-gem-mcp
- Recent: 2026-07-06 webinar or virtual event: Unlocking mcp for your recruiting team webinar https://www.gem.com/resource/unlocking-mcp-for-your-recruiting-team-webinar
- Recent: 2026-06-23 blog: Gemcp https://www.gem.com/blog/gemcp
- Recent: 2026-06-09 case study: Scale https://www.gem.com/case-study/scale
- Recent: 2026-06-09 case study: Excelityats https://www.gem.com/case-study/excelityats

## Record

- Method: https://finance-ai-index.com/methodology/
- Raw judge labels and full responses: https://finance-ai-index.com/data/
- License: CC BY 4.0. Cite as Finance AI Recommendation Index, October 2026 Edition, finance-ai-index.com.