Machine-Readable Trust
Publishing policies built for agents, crawlers, and LLMs.
When AI search engines (like Perplexity or Google AI) or research agents scrape the web, they face a critical problem: evaluating the trustworthiness of a source.
They cannot guess your publishing standards. They don't know if your content is generated by LLMs, reviewed by human editors, or fact-checked by experts. Unless you tell them, they have to treat your domain with the same skepticism as an automated content farm.
PublishingPolicy.org serves as a central, machine-readable registry. When you build and publish your policy here, it is exposed via JSON endpoints and standardized text formats (like llms.txt).
This allows any AI agent to programmatically verify your domain's commitments to accuracy, attribution, and corrections before it decides to cite your work.
{
"version": "1.0",
"publisher": {
"domain": "your-domain.com"
},
"policy": {
"url": "https://publishingpolicy.org/your-domain.com/policy",
"hash": "sha256-..."
}
}We do not dictate what your policy should say. A hyper-local news desk and an automated weather-bot both need publishing policies, but their publishing standards will be complete opposites.
The AI doesn't demand that you follow a specific rigid standard. It demands transparency. Whether your content is 100% AI-generated or 100% human investigative journalism, transparently stating it allows the AI to correctly categorize, weigh, and cite your information.
Free. No credit card required.