Yahoo Is the First Licensee of the Internet Licensing Collective: Publishers Get Paid When Scout Uses, and Cites, Their Content

One day after Yahoo Scout left beta and took over Yahoo Search, Yahoo gave publishers a reason to care where Scout gets its answers. On 12 November, Digiday reported that Yahoo is the first licensee of the Internet Licensing Collective (ILC), the publisher group previously known as RSL (Really Simple Licensing).

In practice, publishers in the collective can now be paid when their content is used in Scout’s AI answers. Nobody has said how much yet.

How the deal works

ILC co-founder Doug Leeds explained the mechanics to Digiday:

  • Blanket licence, revenue-linked fee. Yahoo pays a single fee for access to the collective’s content, tied to Yahoo’s “demand-side revenue”. As Scout’s revenue grows, so does the publisher pool. Leeds wouldn’t give the amount, and Yahoo declined to be interviewed.
  • Segmented royalty pools. Each licensee’s money goes into its own pool, so Yahoo’s payments are split only among publishers whose content Yahoo’s AI products actually used. A small health AI that relies on a few medical publishers would fund a separate, higher-value pool.
  • Allocation rules. Payouts depend on how content was used (grounding, retrieval or displayed in an answer) and on whether the publisher was credited or cited. Leeds’s example: quietly fact-checking against an article earns less than showing detailed election results with an explicit Associated Press credit. The exact formula hasn’t been published.
  • Publisher control. Publishers can choose licensees in an ILC portal, see whether their content is used for RAG or for training, and leave the collective if they sign a direct deal.

The collective says it has more than 3,000 publishers and is in talks with “some” major AI companies it wouldn’t name. The RSL Protocol, a machine-readable way to state licensing terms in robots.txt, carries on under the new name and is used by “thousands” of sites, according to Leeds.

Why it matters beyond Yahoo

Yahoo isn’t a big search engine by query share, but Scout is now the default Yahoo Search experience, and Yahoo says Scout has delivered more than 3 billion answers since launching in Q1 2026. More to the point, this is the first live deal of the collective model. Every other AI licensing arrangement so far has been a one-off between a large publisher and an AI company. The collective model gives a mid-sized trade site the same contract terms as a national newspaper.

The context matters too. Brave is being sued by the New York Times and Tribune papers over Ask Brave and its Search API. Yahoo has chosen to pay rather than fight. If ILC signs a second, larger licensee, “license or litigate” becomes the real choice for every AI search product in the West, and the smaller engines will be the first to have to pick.

What publishers and SEOs should do

  1. Look at the RSL/ILC terms if you publish original content. Joining costs nothing to evaluate. With only one licensee the money will be small at first, but the pools grow with licensee revenue.
  2. Treat citation as revenue. The allocation rules pay more when an answer credits you. Clear authorship, clean bylines and content that is easy to quote with a source are no longer just “E-E-A-T hygiene”. Under this model, they affect what you get paid.
  3. Keep your robots.txt deliberate. RSL terms live alongside your crawler directives. Blocking AI crawlers wholesale and then joining a licensing collective sends mixed signals. Decide which bots get what, and write it down.

My take

I like the segmented pool idea. It avoids the Spotify problem, where niche creators get swamped by volume. But the whole scheme rests on allocation rules nobody outside ILC can audit yet. “Credited or cited” payouts are only as fair as the usage logging the AI company shares with the collective. Until Yahoo or ILC publishes even a rough payout figure per thousand answers, this is a promising structure rather than a proven income stream. Still, it’s the first time a Western search engine has signed up to pay the open web as a whole for AI answers, and the first one to do it isn’t Google.

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.