US Publishers Demand Common Crawl Stop Scraping Their Content

What DCN Demands

DCN claims Common Crawl has "flagrantly infringed" copyrighted content by creating its datasets and sharing them with AI companies. The letter argues "copyright law is not an opt out regime." In other words, DCN's position is that. The search implication is whether the section improves the evidence around the page, not simply whether it adds more wording. Clear entities, crawlable structure, internal links, and useful context are what make the topic easier to evaluate. This connects with structured data when the same signal needs a clearer operating decision. A useful companion note is X Robots Tag, because it looks at a nearby part of the same system.

The useful check is whether this improves the system behind search performance, not only the words on the page. Internal links, crawlable content, clear entities, current evidence, and a sensible page structure all help the recommendation become easier to trust.

Why DCN Doubts The Removal Process

The DCN letter questions whether Common Crawl follows opt out instructions and whether it removes content when asked. Per Press Gazette, DCN's lawyers are examining whether Common Crawl's statements to publishers "may have been inaccurate. The measurement question is whether this signal changes a decision, not whether it adds another number to a dashboard. Useful reporting connects visibility, engagement, and business outcomes without pretending every AI influenced journey will produce a clean click path.

The reporting question is whether this signal changes a decision. If it only creates another number in a dashboard, it adds noise. If it helps separate profile activity, website visits, calls, bookings, and direction requests, it can make local performance easier to understand.

Why This Matters

The DCN letter targets the stored archive, not just future crawling, and argues the burden should not fall on publishers to opt out in the first place. Most publishers in BuzzStream's sample have already made the blocking decision, with. The search implication is whether the section improves the evidence around the page, not simply whether it adds more wording. Clear entities, crawlable structure, internal links, and useful context are what make the topic easier to evaluate. The same pattern also shows up in AI bot blocking, where the practical question is how the signal becomes visible.

Looking Ahead

Whether DCN escalates depends on how Common Crawl responds, and Common Crawl hasn't said how it will. The two sides want different rules for who acts first. Skrenta is backing standards work that would let sites state their scraping. The search implication is whether the section improves the evidence around the page, not simply whether it adds more wording. Clear entities, crawlable structure, internal links, and useful context are what make the topic easier to evaluate.

What DCN Demands

Why DCN Doubts The Removal Process

Common Crawl's Response

Common Crawl executive director Rich Skrenta declined to comment on the letter when contacted by Press Gazette. He has pushed back on similar claims before. In a November blog post responding to The Atlantic, Skrenta denied that the. The practical question is what this changes in the system: the page structure, the evidence presented, the measurement habit, or the way the topic is connected to related work.

The risk is usually hidden in the execution layer. A page can look fine to a human and still fail for an automated visitor if the form, call to action, rendering path, or confirmation step is not accessible enough for the agent to complete the task.

Why This Matters

Looking Ahead

Introduction Digital Content Next, a trade body representing US digital publishers, has sent a cease and desist letter to the Common Crawl Foundation. The letter demands Common Crawl stop collecting publisher content and remove material. The measurement question is whether this signal changes a decision, not whether it adds another number to a dashboard. Useful reporting connects visibility, engagement, and business outcomes without pretending every AI influenced journey will produce a clean click path.