AI ChatWatch

AI Mentions & Sources Report for AI Tools

Track Your AI Visibility
#{{ domain.rank }}

{{ domain.value }}

{{ formatPercent(domain.influence) }}
Share of Voice
{{ domain.linkTypeName }} Visit {{ botCount }} AI models {{ questionCount }} questions

About pytorch.org (Charity & Non-profit)

This page provides details about pytorch.org (Charity & Non-profit) which was ranked #134 out of 273 in the list of sources (1 citation (0.1% share)) in answers from AI models (OpenAI ChatGPT Latest) when they were asked the following 1 question: "If I'm looking to get into AI Tools, who and what should I know about? Include the most trusted brands, recommended products and services, reputable companies and providers, influential experts and reviewers to follow, helpful communities and resources, important events and conferences, notable startups disrupting the space, and key publications and media channels to stay informed." on Dec 29, 2025 by AI Chat Watch.

#{{ domain.rank }}
Rank
{{ formatPercent(domain.influence) }}
Voice
{{ formatPosition(domain.appearanceOrder) }}
Position
{{ formatPercent(domain.mentionsAsPercent) }} ({{ domain.mentions || 0 }})
Citations

Used by AI Models

Model Voice Position Citations
{{ bot.name.charAt(0) }} {{ bot.name }} {{ getInfluenceForBot(bot.id) }} {{ getPositionForBot(bot.id) }} {{ getMentionsForBot(bot.id) }}

Pages from pytorch.org (1 link)

URL Path Citations Position
pytorch.org 1 37

Citations from AI Responses

OpenAI ChatGPT Latest (1 citation)

If I'm looking to get into AI Tools, who and what should I know about? Include the most trusted brands, recommended products and services, reputable companies and providers, influential experts and reviewers to follow, helpful communities and resources, important events and conferences, notable startups disrupting the space, and key publications and media channels to stay informed.

[...] ders work) - Model hub & community: [Hugging Face](https://huggingface.co/) (library: [Transformers](https://huggingface.co/docs/transformers)) - Research paper discovery + code: [Papers with Code](https://paperswithcode.com/) - Preprints: [arXiv](https://arxiv.org/) - Deep learning frameworks: - [PyTorch](https://pytorch.org/) - [TensorFlow](https://www.tensorflow.org/) - [JAX](https://jax.readthedocs.io/) --- ## 3) The “app layer” stack (what you’ll see in real AI products) If you build AI tools, these categories come up constantly. ### Orchestration / agent & workflow frameworks - [LangChain](https://www.langch [...]

pytorch.org December 29, 2025