Why Common Crawl Is Becoming a Publisher Rights Flashpoint

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 already in its datasets. DCN CEO Jason Kint announced the legal notice in a blog post, and Press Gazette reported additional details from the letter this week.

Common Crawl has crawled several billion new pages each month since 2007 to build a free public archive. That archive has been used to train many of the AI models in use today. OpenAI's GPT-3 paper listed filtered Common Crawl as 60% of the model's training mix.

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 publishers shouldn't have to ask to be excluded. Common Crawl should need permission to include them.

"challenges a growing assumption that content created through substantial investment can be collected, stored, repurposed, and monetized simply because it is technically accessible."

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 or misleading." Common Crawl publishes a public registry of websites that have asked not to be scraped. It includes entries for the Associated Press, the BBC, and a large News/Media Alliance submission covering hundreds of domains.

Press Gazette reports the list also includes other major publishers. This isn't the first time the removal process has been questioned. The Atlantic reported in November that content from The New York Times and Danish publishers was still available after Common Crawl agreed to remove it.

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 organization lied to publishers or scrapes paywalled material.

He said the archive's file format can't be edited after publication without breaking its integrity. Instead, Common Crawl says it removes or filters affected URLs from subsequent crawls and makes them inaccessible through its public tools and indices: "When a publisher asks us to remove previously crawled material, we respond promptly and initiate a removal process that reflects the technical design of our dataset." "No one at Common Crawl has ever claimed this work was instantaneous or complete; rather, we have been open about its complexity and ongoing nature." In a forum post this week, Skrenta said Common Crawl is contributing to open standards work on how websites express AI scraping preferences.

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 79% of the 100 news sites it checked blocking at least one training bot. Cloudflare's Year in Review data we covered in January found CCBot among the bots with the most full disallow directives across top domains. The same pattern also shows up in AI bot blocking, where the practical question is how the signal becomes visible.

The question DCN raises is what those blocks accomplish if years of content stay available for training anyway.

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 preferences, which keeps opting out as the model.

The UK's CMA took a similar path when it required Google to let publishers opt out of AI search features. DCN argues scrapers should need permission first. If more trade groups take up that argument, the pressure moves from individual robots.txt files to the archives themselves.

Why this changes the crawler conversation

Common Crawl sits in a different mental bucket from a traditional search crawler. Search crawling is usually understood as discovery, indexing, and sending users back to the source. Dataset crawling is different because the collected content can become training material, retrieval material, or infrastructure for products that do not send the same value back.

That is the tension publishers are reacting to. The web has always depended on crawlability, but AI has made the purpose of crawling more important. A publisher may welcome search indexing and still object to bulk collection for model development.

What site owners should watch next

The immediate question is whether Common Crawl changes its process, defends the current archive model, or faces more coordinated legal pressure. Any response will matter beyond one organization because many AI systems have depended on public web corpora.

For site owners, the practical move is to review robots rules, content signals, licensing language, server logs, and third party crawler activity together. A single control is rarely enough when the policy question and the technical question are moving at the same time.

Why permission signals need to become clearer

Robots.txt was built for crawler access, not for every modern AI use case. Content signals, contractual terms, and emerging standards are trying to fill that gap, but the ecosystem is still messy.

The direction is obvious: publishers want more granular permission. They may allow search indexing, restrict AI training, allow real time retrieval, or license specific uses. The winners will be the teams that make those choices explicit and technically enforceable.

How this affects SEO and content strategy

This dispute is not a reason to block every crawler blindly. Search visibility still depends on useful content being accessible to the systems that can send qualified users. The challenge is deciding which crawlers support discovery and which ones primarily extract value.

That makes crawler governance part of SEO operations. Teams need a process for reviewing new bots, documenting allowed uses, checking log files, and updating robots rules without accidentally damaging organic visibility.

The SEO risk is accidental overblocking

A publisher response should be precise. Blocking every crawler can protect content from unwanted use, but it can also damage discovery if important search crawlers lose access to public pages.

The better approach is to separate crawler purpose, review logs, document policy, and test changes before rolling them out across the site. Governance matters more than panic.

What I would document now

The useful internal document is a crawler policy: which bots are allowed, which uses are restricted, who approves changes, and how often logs are reviewed. That turns a reactive debate into an operating process.

It also helps legal, SEO, and engineering teams avoid working from different assumptions. Content access is no longer only a technical setting; it is a business policy expressed through technical controls.

The bigger lesson is that crawler management now belongs in the same conversation as content strategy. If the business depends on organic discovery, it needs a policy that protects content value without accidentally cutting off the systems that help people find it.

That is the practical balance: stay discoverable where discovery creates value, but become much clearer about uses that extract content without returning attention, traffic, licensing value, or audience relationships.