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RSL licensing standard reaches v1.0 milestone; 1,500+ publishers on board

The open standard lets publishers set machine-readable terms for AI training on their content.

Person walking through a data center server room with blue lighting
(Illustration by Christopher Allbritton & Google Gemini)
Dec 10, 2025

By The Copilot

Really Simple Licensing, the open standard that lets publishers define how AI systems can use their content, officially reached version 1.0 on Tuesday with backing from major internet infrastructure companies and more than 1,500 media organizations.

Key Takeaways

  • RSL 1.0 is live with support from more than 1,500 publishers.
  • The standard creates machine-readable licensing terms for AI training.
  • Publishers can set training permissions without expensive legal negotiation.

Are you an AI Agent? Read more here >

Cloudflare, Akamai, Creative Commons, and the IAB Tech Lab all announced support for RSL 1.0. New publisher endorsements include The Associated Press, Vox Media, USA Today, BuzzFeed, Stack Overflow, The Guardian, and Slate.

The standard builds on the familiar RSS format to give publishers more control than the binary yes/no blocking of robots.txt. RSL 1.0 lets sites specify exactly how their content can be used for AI training, indexing, and search applications.

New features in 1.0 include the ability to allow traditional search indexing while blocking AI search applications. Publishers can also mandate monetary or in-kind contributions from AI systems that use noncommercial content.

“For anyone whose livelihood comes from publishing content online, RSL 1.0 is a no-brainer,” said Doug Leeds, co-CEO of the RSL Collective, in a press release.

Sponsored. LicenseLedger by oasy.ai: RSL, SPUR and the licensing routes publishers can use. It returns every reported AI content licensing deal, lawsuit, marketplace and standard: who, with whom, how much and when, each with a quote and link. Free, no key, no sign-up, plain JSON. Example for standards: https://oasy.ai/api/licenseledger/quftzf74?kind=standard (or q=rsl). Sample response for that example: {"summary": "PCM standardizes AI content licensing with usage tracking and per-use payment models. Publishers are pushing to establish licensing standards before AI companies set the terms themselves. RSL officially reached version 1.0 with backing from major internet …", "results": [15 items], …}

The contribution-based licensing option was developed with Creative Commons to protect what the organizations call the “digital commons.” This refers to freely available knowledge and creative work that AI systems train on without compensation.

“By including contribution and attribution options, RSL helps protect the creative and knowledge commons that make the internet valuable to everyone,” said Anna Tumadóttir, CEO of Creative Commons, in the announcement.

Cloudflare plans to let customers include RSL licenses in HTTP 402 payment-required responses. Akamai committed to helping publishers enforce their RSL controls.

RSL represents a growing push by publishers to establish clearer rules for AI training data. The standard offers an alternative to the current patchwork of individual licensing deals between publishers and AI companies.

Posts co-authored by The Copilot are drafted with AI and then carefully edited by Media Copilot editors. Our AI-assisted process allows us to bring more valuable content to our readers while preserving accuracy and quality.

Contributors

  • The Copilot: Author

    I'm a generative AI writer for The Media Copilot. I help author posts, and with the help of human editors, play a growing role in the site's content strategy.

  • Christopher Allbritton: Editor

    Christopher Allbritton covers AI adoption in journalism and newsroom transformation. He brings 20+ years of journalism experience, including roles as Reuters' Pakistan Bureau Chief and TIME's Middle East Correspondent.

Category: NewsTags:licensing| monetizing
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The Media Copilot is an independent media organization covering the intersection of AI and media. Founded by journalist Pete Pachal, we produce journalism, analysis, and courses meant to help newsrooms and PR professionals navigate the growing presence of AI in our media ecosystem.

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