Leaderboards / AI & Machine Learning
Top 50 AI & Machine Learning in LLMs — 2026
According to ChatGPT, Claude, Gemini and Perplexity. Independent Jourdechance study based on 30 representative sector prompts. Data from August 07, 2026.
Ranking
Download the full free study| Rank | Brand | LLM Visibility |
|---|---|---|
| 01 | Mistral AI | 3.0/4 |
| 02 | Hugging Face | 3.0/4 |
| 03 | Dataiku | 3.0/4 |
| 04 | LightOn | 2.0/4 |
| 05 | Shift Technology | 2.0/4 |
| 06 | Dust | 2.0/4 |
| 07 | Owkin | 2.0/4 |
| 08 | Poolside | 2.0/4 |
| 09 | Nabla | 2.0/4 |
| 10 | Contentsquare | 1.0/4 |
| 11 | PhotoRoom | 1.0/4 |
| 12 | Snips | 1.0/4 |
| 13 | Prophesee | 1.0/4 |
| 14 | Doctrine | 1.0/4 |
| 15 | Saagie | 1.0/4 |
| 16 | H Company | 1.0/4 |
| 17 | Craft AI | 1.0/4 |
| 18 | Jellyfish | 1.0/4 |
| 19 | Kyutai | 1.0/4 |
| 20 | Bioptimus | 1.0/4 |
| 21 | Yseop | 1.0/4 |
| 22 | Ekino | 1.0/4 |
| 23 | Giskard | 1.0/4 |
| 24 | Scality | 1.0/4 |
| 25 | Aqemia | 1.0/4 |
| 26 | Datakeen | 1.0/4 |
| 27 | Deepomatic | 1.0/4 |
| 28 | Linkup | 1.0/4 |
| 29 | Instadeep | 1.0/4 |
| 30 | LlamaIndex France | 1.0/4 |
| 31 | Akur8 | 1.0/4 |
| 32 | Perfect Memory | 1.0/4 |
| 33 | Cosmo Tech | 1.0/4 |
| 34 | Spinergie | 1.0/4 |
| 35 | Didomi | 1.0/4 |
| 36 | Kili Technology | 1.0/4 |
| 37 | Artefact | 1.0/4 |
| 38 | Braincube | 1.0/4 |
| 39 | Toucan Toco | 1.0/4 |
| 40 | Sopra Steria | 1.0/4 |
| 41 | NamR | 1.0/4 |
| 42 | Netatmo | 1.0/4 |
| 43 | Sidetrade | 1.0/4 |
| 44 | Synapse Medicine | 1.0/4 |
| 45 | Cegid | 1.0/4 |
| 46 | PerfectStay | 1.0/4 |
| 47 | Epsor | 1.0/4 |
| 48 | Preligens | 1.0/4 |
| 49 | Bodyguard.ai | 1.0/4 |
| 50 | Botify | 1.0/4 |
Data from August 07, 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 AI & Machine Learning 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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