Leaderboards / HR Tech & Talent Management
Top 50 HR Tech & Talent Management in LLMs — 2026
According to ChatGPT, Claude, Gemini and Perplexity. Independent Jourdechance study based on 30 representative sector prompts. Data from May 18, 2026.
Ranking
Download the full free study| Rank | Brand | LLM Visibility |
|---|---|---|
| 01 | Elevo | 3.0/4 |
| 02 | Lucca | 3.0/4 |
| 03 | Skello | 3.0/4 |
| 04 | Workelo | 3.0/4 |
| 05 | Javelo | 3.0/4 |
| 06 | ZestMeUp | 3.0/4 |
| 07 | PayFit France | 2.0/4 |
| 08 | PeopleSpheres | 2.0/4 |
| 09 | Talentsoft (Core France) | 2.0/4 |
| 10 | AssessFirst | 2.0/4 |
| 11 | Gymlib | 2.0/4 |
| 12 | Neobrain | 1.0/4 |
| 13 | 365Talents | 1.0/4 |
| 14 | Humatch | 1.0/4 |
| 15 | PeopleSpheres | 1.0/4 |
| 16 | ARAGO Ready for HR | 1.0/4 |
| 17 | HeyTeam | 1.0/4 |
| 18 | Factorial France | 1.0/4 |
| 19 | Empowill | 1.0/4 |
| 20 | Factorial | 1.0/4 |
| 21 | Supermood | 1.0/4 |
| 22 | Swile | 1.0/4 |
| 23 | Klaro | 1.0/4 |
| 24 | 360Learning | 1.0/4 |
| 25 | Steeple | 1.0/4 |
| 26 | Sensy | 1.0/4 |
| 27 | Mobiliwork | 1.0/4 |
| 28 | Goshaba | 1.0/4 |
| 29 | Wittyfit | 1.0/4 |
| 30 | TeamMood | 1.0/4 |
| 31 | Culture Amp | 1.0/4 |
| 32 | OpenClassrooms | 1.0/4 |
| 33 | Skillup | 1.0/4 |
| 34 | CoachHub | 1.0/4 |
| 35 | Eurécia | 1.0/4 |
| 36 | Didask | 1.0/4 |
| 37 | Beekast | 1.0/4 |
| 38 | Klaxoon | 1.0/4 |
| 39 | TalentView | 1.0/4 |
| 40 | Recruitee | 1.0/4 |
| 41 | Flatchr | 1.0/4 |
| 42 | Teamtailor | 1.0/4 |
| 43 | Welcome to the Jungle | 1.0/4 |
| 44 | Hunteed | 1.0/4 |
| 45 | Cornerstone OnDemand | 1.0/4 |
| 46 | Talent.com | 1.0/4 |
| 47 | Jobteaser | 1.0/4 |
| 48 | Seekube | 1.0/4 |
| 49 | Easyrecrue | 1.0/4 |
| 50 | DigitalRecruiters | 1.0/4 |
Data from May 18, 2026
Methodology
How is this ranking calculated?
Jourdechance queries 4 LLMs (ChatGPT GPT-4o, Claude Sonnet, Gemini Pro, Perplexity) with 30 representative prompts for the HR Tech & Talent Management sector. Each cited brand receives a weighted visibility score based on its position in the response, citation frequency and context (direct recommendation vs mere mention). The final score is a weighted average across all 4 models. Quarterly updates.
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