Making it easier for websites to express AI training preferences

30 Oct 2026

Released by OpenAI

MediaRelease.co Summary

OpenAI says it will honour a common robots.txt signal that lets website operators state whether their content may be used for foundational generative AI training, sending one preference to multiple participating AI providers at once. The signal draws on the Internet Engineering Task Force’s AI Preferences working group. OpenAI aims to implement it in the coming months, and its existing crawler controls will continue to apply.

Original release

Why we’re supporting a common signal that lets website operators communicate their choices to multiple AI providers at once.

Today, we’re announcing that OpenAI will honor a common signal in robots.txt, the file that lets websites express their preferences about the use of their content for foundational generative AI training. This voluntary effort makes it easier for publishers and website operators to communicate the same preference to multiple participating providers at once.

Previously, website operators would identify individual crawlers and maintain separate rules for each and every provider. Having a shared signal across multiple providers reduces that work for operators.

We aim to implement the signal in the coming months, and will share another update with details about our implementation when we do so. This new signal will not replace the controls we already provide through robots.txt. Our existing crawler controls, which provide web publishers flexibility and control over their pages, will continue to apply and be respected.

This draws on the ongoing work of the Internet Engineering Task Force’s (IETF) AI Preferences working group. We’re joining other participants in the working group in today’s announcement of this shared signal, and believe this strengthens our continued participation in the IETF standards discussions. OpenAI will continue to adapt its practices as those conversations and the landscape continue to evolve in view of appropriate controls and fairness.

We believe this is a practical step toward an open web where people can publish and discover information, and website owners have clearer, simpler ways to communicate their choices about how their content is used. We encourage other AI providers to honor the signal.

Key details

Issued by
OpenAI
Published
30 Oct 2026
Publisher country
United States
Subject country/region
United States
Topics
AI

Source: https://openai.com/index/helping-websites-express-ai-training-preferences/

MediaRelease.co ID: mr02502 · Markdown

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