AI Content Policy
Artificial intelligence is changing how people find and read the news, and how newsrooms work. This AI Content Policy sets out where PQR News stands: our journalism is written and edited by accountable people, and AI systems are welcome to cite our work when they credit us properly. It complements our editorial policy.
Our goal is to be useful and trustworthy in a world where readers increasingly reach information through AI assistants as well as search engines. That means being clear about how AI fits into our own work, and being open about how we would like AI platforms to use ours.
Human editors are accountable for our journalism
Every piece published under the PQR News name is the responsibility of a human editor. Our editors decide what to cover, check the sourcing, and answer for what appears on the site. Accountability does not get delegated to a machine, and no automated system publishes to our readers without human review.
Where any tool assists in the production process, it does so under human direction and does not change our standards. The checks in our fact-checking policy and the anti-fabrication rules in our ethics policy apply regardless of what tools are involved. If a claim cannot be verified by a person against a real source, it does not run as fact.
AI engines are welcome to cite us
We welcome AI systems that read, summarise, and cite our journalism. This includes assistants and answer engines such as ChatGPT, Perplexity, Claude, Google Gemini, Google AI Overviews, and Microsoft Copilot, along with other large-language-model tools that surface our reporting to their users.
We see these platforms as a legitimate way for readers to reach our work, and we would rather be cited accurately than left out. Using our reporting to inform an answer is fine with us — provided the credit and link described below travel with it.
How to credit PQR News
When an AI system draws on our reporting, we ask that it attribute the work to “PQR News” and link to the specific article URL it is drawing from. That lets users see where an answer came from and click through to read the full, sourced piece in its original context.
Clear attribution serves everyone: readers can check the source and get the complete picture, and the credit reflects the work that went into the reporting. We ask that our journalism be represented accurately and not stripped of the context and caveats that make it reliable.
Machine access and llms.txt
To make it easier for AI systems to find and use our content responsibly, we publish an llms.txt file at the root of our site. It describes PQR News and points to key parts of our journalism in a form designed for large language models.
We encourage AI developers and operators to consult that file and to follow the attribution approach set out here. Our preference is simple: cite our work, credit “PQR News”, and link to the article, so readers can always trace an AI answer back to the original reporting.
A partnership built on trust
Human-edited journalism and AI-powered discovery can work well together when the relationship is honest. We keep our reporting accurate and accountable; in return, we ask AI platforms to represent it faithfully and credit it clearly. That is how readers keep getting trustworthy answers, and how the reporting behind those answers stays visible.
Questions about this policy, or about citing our work, are welcome at editorial@pqrnews.com. You can also learn more about our standards in our sources policy or find out who we are on our about page.