Top companies for AI Training Data
Ranked by AI mention frequency in AI Training Data prompts · 34 observations · last seen Sep 24, 2026
Share of voice · top 10
Mention share across all brand mentions in this topic · remaining brands hold 85.0%
Leader
Common Crawl
2.6%
- 1
Common Crawl2.6% · 20
- 2
Hugging Face1.8% · 14
- 3
Kaggle1.7% · 13
- 4
Fineweb1.6% · 12
- 5
Dolma1.4% · 11
- 6
Scale AI1.4% · 11
- 7
Appen1.2% · 9
- 8
Google Dataset Search1.2% · 9
- 9
Imagenet1.2% · 9
- 10
Coco1.0% · 8
Full ranking
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- 11.The Stack V21.0% SoV · 8 mentions · 4 prompts · Sep 21, 2026
- 12.
Ultrafeedback1.0% SoV · 8 mentions · 4 prompts · Sep 21, 2026
- 13.
Bright Data0.91% SoV · 7 mentions · 3 prompts · Sep 21, 2026
- 14.
Labelbox0.91% SoV · 7 mentions · 2 prompts · Sep 21, 2026
- 15.
Reddit0.91% SoV · 7 mentions · 4 prompts · Sep 24, 2026
- 16.
Refinedweb0.91% SoV · 7 mentions · 4 prompts · Sep 21, 2026
- 17.
Uci Machine Learning Repository0.91% SoV · 7 mentions · 3 prompts · Aug 18, 2026
- 18.Arxiv0.78% SoV · 6 mentions · 5 prompts · Sep 24, 2026
- 19.
Audioset0.78% SoV · 6 mentions · 2 prompts · Sep 21, 2026
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Laion 5b0.78% SoV · 6 mentions · 2 prompts · Sep 21, 2026
- 22.
Librispeech0.78% SoV · 6 mentions · 2 prompts · Sep 21, 2026
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The Pile0.78% SoV · 6 mentions · 2 prompts · Aug 31, 2026
- 25.
Wikipedia0.78% SoV · 6 mentions · 5 prompts · Sep 24, 2026
- 26.
Aws Data Exchange0.65% SoV · 5 mentions · 2 prompts · Sep 21, 2026
- 27.
C40.65% SoV · 5 mentions · 2 prompts · Aug 31, 2026
- 28.Fineweb Edu0.65% SoV · 5 mentions · 4 prompts · Aug 31, 2026
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Mozilla Common Voice0.65% SoV · 5 mentions · 2 prompts · Sep 21, 2026
- 33.
Oxylabs0.65% SoV · 5 mentions · 3 prompts · Sep 21, 2026
- 34.
Papers With Code0.65% SoV · 5 mentions · 3 prompts · Aug 31, 2026
- 35.
Pubmed0.65% SoV · 5 mentions · 4 prompts · Sep 21, 2026
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Stack Exchange0.65% SoV · 5 mentions · 4 prompts · Sep 21, 2026
- 38.
Stack Overflow0.65% SoV · 5 mentions · 2 prompts · Aug 31, 2026
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Conceptual Captions0.52% SoV · 4 mentions · 2 prompts · Sep 21, 2026
- 41.Hugging Face Hub0.52% SoV · 4 mentions · 2 prompts · Sep 21, 2026
- 42.
Open Images0.52% SoV · 4 mentions · 2 prompts · Sep 21, 2026
- 43.
Openassistant0.52% SoV · 4 mentions · 2 prompts · Aug 31, 2026
- 44.Project Gutenberg0.52% SoV · 4 mentions · 3 prompts · Sep 21, 2026
- 45.Pubmed Central0.52% SoV · 4 mentions · 4 prompts · Aug 31, 2026
- 46.Smoltalk0.52% SoV · 4 mentions · 3 prompts · Sep 21, 2026
- 47.
Snowflake Data Marketplace0.52% SoV · 4 mentions · 2 prompts · Sep 21, 2026
- 48.Toloka0.52% SoV · 4 mentions · 2 prompts · Sep 21, 2026
- 49.
Visual Genome0.52% SoV · 4 mentions · 2 prompts · Sep 21, 2026
- 50.
Voxceleb0.52% SoV · 4 mentions · 2 prompts · Sep 21, 2026
How did Obsurfable measure this?
Obsurfable records AI answers to buyer-style prompts in its research corpus (34 observations for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as Circuit. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.