PeopleSearchBench: Evaluating AI-Powered People Search Platforms with Criteria-Grounded Verification
AI-powered people search platforms are increasingly deployed for recruiting, sales prospecting, and professional networking, yet no standardized benchmark exists for their rigorous evaluation. We present PeopleSearchBench, an open-source benchmark comprising 119 multilingual queries across four scenarios: corporate recruiting, B2B sales prospecting, expert search, and influencer discovery. A central contribution is Criteria-Grounded Verification, an evaluation methodology that decomposes each query into explicit, independently checkable criteria and verifies each returned individual via live web search, producing factual relevance judgments rather than subjective LLM-as-judge scores (Cohe...
| Authors | Tianyu Shi, Wei Wang, Zequn Xie et al. |
|---|---|
| Primary category | cs.AI |
| Published | 29 March 2026 |
| Last updated at source | 30 August 2026 |
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