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Proven across real-world use cases — customer discovery, recruiting, and partnerships.
119 real-world queries, scored independently through web verification. Scale: 0–100.
How each platform performs across four real-world use cases.
Breaking down Relevance, Coverage, and Utility across each scenario.
Curated from real practitioner workflows in recruiting, sales, and research.
English, Portuguese, Spanish, Dutch.
Recruiting (30), B2B Prospecting (32), Expert (28), Influencer (29).
The core use cases where AI people search creates business value.
Independent axes measuring ranking quality, result volume, and data completeness.
Fully automated, reproducible pipeline. Every result verified against live web sources.
“Senior ML engineer at a Series B startup in Berlin” becomes a checklist: role, seniority, domain, company stage, location.
Every person returned by every platform is checked against LinkedIn, company sites, and social profiles. No self-reported data - only what can be independently confirmed.
Relevance (did you find the right people?), Coverage (how many?), and Utility (is the profile data actually useful?). Combined into one Overall score.
Padded nDCG@10
Measures whether returned people match the query and are correctly ranked. Each person is web-verified and graded against explicit criteria. Padded to 10 slots - returning fewer results is penalized.
TCR × Yield
Measures how many qualified people are found per query. Combines task completion rate with average qualified result yield (capped at K=10). Rewards both reliability and volume.
(C + E + A) / 3
Measures whether returned data is complete and actionable. Averages three sub-dimensions: structural completeness (C), query-specific evidence (E), and actionability (A).
Highlights from 476 platform runs across 119 queries.
Lessie is the only platform to lead every category - Recruiting, B2B, Expert / Deterministic, and Influencer / KOL.
Every query returned results. No other platform achieved this - especially on niche and abstract searches where others returned nothing.
The ranking quality difference is most pronounced on multi-criteria queries.
Lessie scored 62.3 overall; the runner-up scored 43.2. Single-source platforms struggle most here.
Profile data completeness is the most competitive dimension - all platforms scored between 42.7 and 56.4.
Three platforms scored above 64 overall. This is the scenario where existing tools perform best - and where margins are thinnest.
One search across professional networks, social platforms, and academic databases.
