# LinkedIn Talent Insights: how AI models rank it, October 2026

HR AI Recommendation Index, October 2026 Edition. Named in 12 judge labels across 2 categories by 10 of 14 models. Page: https://hr-ai-index.com/vendors/linkedin-talent-insights/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Talent intelligence | 0% | 25 | 27% | 11 |
| Applicant tracking systems | 0% | 46 | 0% | 1 |

## What the models said for it

- "For workforce or market intelligence: LinkedIn Talent Insights, Lightcast, and Draup are the strongest fit." (Perplexity Sonar, Talent intelligence)
- "Best for: labor-market benchmarking and talent pool analysis." (GPT-5.4 mini, Talent intelligence)
- "Market sizing, competitor benchmarks, and talent-pool research" (GPT-6 Luna, Talent intelligence)
- "Best for Market Benchmarking" (Kimi K2, Talent intelligence)

## And against it

- "the most widely cited talent intelligence tool in the market, but it is not right for every team. The pricing is enterprise-level, access requires an existing LinkedIn contract" (Muse Glimmer 30B, Talent intelligence)
- "a research tool, not a sourcing or outreach engine, and recruiters who buy it expecting hands-on workflow are disappointed" (Claude Haiku 4.5, Talent intelligence)
- "Requires LinkedIn contract, narrow use case" (DeepSeek V4 Flash, Talent intelligence)

## Movement since September 2026

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

- Talent intelligence: 0% to 0%, ±0. Inside the floor by 13 points · rank 20 → 25 of 90.
- Applicant tracking systems: 0% to 0%, ±0. New · not ranked in September 2026 · rank 46 of 65.

## 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.