rslstandard.org

What It Is

RSL (Really Simple Licensing) is an open content licensing standard for the “AI-first Internet.” Using an XML vocabulary and discovery mechanisms, it lets publishers declare machine-readable usage rights, restrictions, payment terms, and legal terms for digital assets such as web pages, images, videos, books, datasets, and even code. Its goal is not simply to block crawlers, but to turn use cases such as AI training, retrieval augmentation, generative summaries, and search indexing into rules that can be declared, verified, and licensed.

Core Capabilities

The RSL 1.0 specification defines XML structures such as <rsl>, <content>, <license>, <permits>, <prohibits>, and <payment>, and provides vocabularies for usage/user categories, including ai-all, ai-train, ai-input, ai-index, and search. Discovery is compatible with the existing Web: licenses can be associated via robots.txt, HTTP Link Header, HTML link, RSS, and media files. Extended protocols include the Open License Protocol (an OAuth 2.0 extension), the Crawler Authorization Protocol, and the Encrypted Media Standard, which can be used for license acquisition, verification, crawler authorization, and encrypted content key management.

Pricing and Business Model

RSL itself is an open standard, and the text does not indicate any fee for using the standard. At the licensing-expression layer, it supports free use, attribution, subscriptions, pay-per-crawl, pay-per-inference, custom licenses, Creative Commons, and collective licensing. RSL Collective is described as free to join and is used to manage access, authorization, and compensation, but specific rates, settlement arrangements, and payment methods are not disclosed.

Pros and Cons

Its strengths are standardization and interoperability: it can reuse existing Web infrastructure and covers both public and non-public content. The specification is also relatively complete, with examples, terminology, versioning, and an Issue Tracker. The main drawback is that real-world adoption depends on active support from AI companies, crawlers, and platforms. Fully implementing license servers, OAuth extensions, crawler authorization, and encrypted media may also be a significant barrier for small teams. The scale of ecosystem adoption remains to be seen.

Who It’s For and Access from China

RSL is suitable for media groups, content platforms, dataset owners, publishers, CDN/hosting platforms, and AI companies that need compliant access to content. The text does not provide information on access from China, so it is rated as unknown. If cross-border access to specification sites, GitHub, or overseas license servers is unstable, a proxy may be needed. Domestic alternatives include robots.txt, Creative Commons, local data licensing contracts, and platform-built APIs/paywalls, but they lack RSL’s unified machine-readable protocol designed specifically for AI use cases.