Ever wonder what happens to the article you're reading right now if an AI chatbot decides to summarize it for someone else?
That question is turning into real money, and real rules, for publishers. This week, Yahoo became the first company to sign on as a licensee of a new collective licensing model called ILC — short for the organization that used to be known as RSL, or Really Simple Licensing.
Here's why that matters, even if you've never thought twice about who gets paid when ChatGPT answers your question using someone else's reporting.
For the last couple of years, AI companies have mostly paid publishers through flat-fee deals. Pay a lump sum, get the rights to train on or pull from a publisher's content, done. Simple, but kind of lazy, if you think about it. A flat fee doesn't care whether your content actually helped answer anyone's question or just sat there unused.
Digiday has reported that Google and Microsoft are already testing something smarter: pay-per-value licensing. Instead of paying based on volume, these models pay publishers based on how much their content actually contributed to an AI-generated answer. ILC is building on that same idea, but with a twist that I find genuinely clever.
When an AI company signs with ILC, its payment doesn't get dumped into one giant shared pool with every other licensee's money. Each company's payments stay in their own separate royalty pool. Why does that matter? Because a general search tool like Yahoo's new "Scout" might pull from thousands of publishers at once, spreading the money thin. But a specialized AI tool — say, something built for healthcare — might only use content from a handful of medical publishers. That content is worth a lot more to that narrow use case, and ILC's leader, a guy named Leeds, wants to make sure those publishers don't get diluted just because they're part of a bigger collective.
"An AI vertical in health might be very low volume, but much higher specific value," Leeds explained. "So if your content gets used in that, you should split that high value, not get diluted by all the content that got used by Yahoo."
Right now, more than 3,000 publishers have joined ILC. That's a lot of newsrooms, blogs, and niche sites betting that a smarter payment system beats a flat check.
So how does ILC decide who gets what? Leeds calls it "allocation rules." These look at how the content gets used — whether it's grounding a fact, getting retrieved for a response, or actually displayed to the user — and whether the publisher gets credited. A tool that quietly checks a fact against your article pays less than one that visibly cites you, like crediting the Associated Press for election results. Leeds didn't share the exact formula, but the goal is clear: stop AI companies from grabbing the cheapest content available and instead reward the sources doing the best work.
Publishers also get a say in who uses their stuff. For now, Yahoo is the only licensee, so there's not much choosing to do yet. But as more companies sign on, publishers can log into their ILC portal and pick who they will and won't license to — and pull out entirely if they strike a separate deal elsewhere.
The name change from RSL to ILC wasn't random, either. RSL used to describe both the publisher group and a technical standard — the RSL Protocol — that lets publishers set crawling and licensing terms right in their robots.txt file. Leeds said thousands of sites already use that protocol. But he wanted a name that made it obvious this is an open collective any publisher can join, not just a technical spec.
What happens next? Leeds says ILC is talking with some major AI companies about joining, though he won't say who yet.
I like how he put it: "You can do a deal with a one-off, and that's fantastic. But that doesn't invest in the infrastructure of content in general."
That's the real story here. It's not just about Yahoo getting a license. It's about whether publishers — big and small — can build a system where quality content keeps getting rewarded as AI keeps changing how we all find information.
Worth watching who signs up next.
Source: Digiday
Our last article on this: When AI Books Your Trip, Who Gets the Credit?
