# Gem vs SeekOut: which do AI models recommend for talent intelligence, October 2026

HR AI Recommendation Index, October 2026 Edition, Talent intelligence. Four of fourteen models named Gem first on the direct prompt; one named SeekOut. Page: https://hr-ai-index.com/performance/talent-intelligence/gem-vs-seekout/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| Gem | 14% | #2 of 13 | 8% | 24 | 12 of 14 |
| SeekOut | 2% | #8 of 13 | 10% | 31 | 14 of 14 |

## The direct prompt, model by model

- Gemini 3.5 Flash: gem first (first choices: Gem) (alternatives: Findem, SeekOut, hireEZ)
- Grok 4.1 Fast: gem first (first choices: Gem, hireEZ) (alternatives: Bryq, Phenom, SeekOut)
- Mistral Small: gem first (first choices: Gem) (alternatives: Eightfold AI, Neobrain)
- DeepSeek V4 Flash: gem first (first choices: Gem) (alternatives: Fuel50, Pin, hireEZ)
- Kimi K2: seekout first (first choices: SeekOut) (alternatives: Findem, Gem)
- GPT-5.4 mini: neither first, one named (first choices: 365Talents) (alternatives: Fuel50, Phenom, SeekOut)
- Perplexity Sonar: neither first, one named (first choices: Pin) (alternatives: Eightfold AI, Gem, Lightcast, SeekOut, hireEZ)
- Qwen 3.7 Flash: neither first, one named (first choices: Eightfold AI) (alternatives: Gem, RepVisor, SeekOut, ZoomInfo Talent)
- GLM 4.7 FlashX: neither first, one named (first choices: Pin) (alternatives: Eightfold AI, SeekOut, hireEZ)
- MiniMax M2.5: neither first, one named (first choices: Metaview, hireEZ) (alternatives: Gem, SeekOut)
- Muse Glimmer 30B: neither first, one named (first choices: hireEZ) (alternatives: Gem, SeekOut)
- Claude Haiku 4.5: neither named (first choices: Arya, Pin) (alternatives: Engagedly, Lattice, iCIMS Talent Cloud)
- Llama 4 Maverick: neither named
- GPT-6 Luna: neither named (first choices: SeekOut Recruit) (alternatives: Lightcast)

## What the models said about Gem

- "faces integration issues with some third-party systems and occasionally has UI and workflow clunkiness" (Claude Haiku 4.5, negative prompt, hard negative)
- "positioned more for outbound recruiting and pipeline management than broad talent intelligence" (Perplexity Sonar, budget prompt, soft negative)
- "Gem is widely considered the best option for small businesses because they have a specific pricing tier designed to help you grow" (GLM 4.7 FlashX, budget prompt, first choice)

## What the models said about SeekOut

- "18% negative sentiment noted. Seat-based model draws complaints on contact data accuracy, pricing, and ROI challenges" (Grok 4.1 Fast, negative prompt, soft negative)
- "Users report it's "slower to reach ROI"" (Kimi K2, negative prompt, soft negative)
- "SeekOut – Best Overall for Mid-Market" (Kimi K2, direct prompt, first choice)
- "Choose a single-seat SeekOut Recruit Core plan to leverage enterprise-grade search filters without an enterprise contract." (Gemini 3.5 Flash, budget prompt, alternative)
- "Excellent for deep, diverse, and technical talent pools... though pricing has increasingly leaned toward enterprise budgets." (Gemini 3.5 Flash, scale prompt, alternative)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.