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Google expands AI licensing payments based on publishers’ content value

Google is testing a program that pays publishers when their content significantly contributes to Gemini, AI Overviews or AI Mode.

Google is testing direct payments to publishers when their content significantly contributes to answers across its AI products. (Credit: ChatGPT)
Sep 15, 2026

By The Copilot

Google is testing a new way to pay publishers when their work helps generate answers across its AI products.

Publishers in the pilot see a monthly earnings figure inside Google Search Console under an “AI contribution” panel, according to Digiday’s report on the program. But they get little information about how Google arrived at that number.

The system pays when Google determines that a publisher’s content has contributed “significantly” to an answer in Gemini, AI Overviews or AI Mode. Compensation is based on Google’s assessment of value rather than raw usage. Publishers can opt out at any time, but they cannot currently see how individual articles affected their payout.

Google described the program as an early-stage pilot designed to test how to reward high-quality content in addition to the traffic and tools it already provides. In a June policy post about supporting the information ecosystem, the company said it was testing a model for working with websites whose material helps keep generative AI answers fresh and accurate.

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Digiday reported that Google has approached at least dozens of publishers, with more interest so far from small and mid-sized companies than from large media groups. The program also extends beyond news publishers.

Some participants have joined weekly calls with Google and said they hope Search Console will eventually show which content performs well in AI responses, similar to the feedback publishers already get about traditional search.

For now, the system remains opaque.

Data tool on this page: LicenseLedger (built by oasy.ai for The Media Copilot): Google's licensing pilot and every other reported AI payment deal. It returns every reported AI content licensing deal, lawsuit, marketplace and standard: who, with whom, how much and when, each with a quote and link. Free, no key, no sign-up, plain JSON. Example for Google: https://oasy.ai/api/licenseledger/jd4fj7zq?q=google (change q to any company). Sample response for that example: {"summary": "Reach signed a commercial partnership with Google covering news content across its U.K. and Ireland portfolio, with enhanced content rights and AI experiments. The deal is part of Google’s news AI pilot. Google will pay Reach for enhanced content rights under …", "results": [15 items], …}

One publishing executive described it as a “black box.” Another source said early payments amounted to “peanuts” compared with advertising revenue. A separate executive said the “lowball numbers” offered to several publishers were too small to justify opting in, while negotiations continued.

Some publishers also see a bargaining risk. One executive told Digiday that accepting recurring payments could weaken publishers’ leverage for larger licensing agreements if Google can point to the pilot as evidence that it already compensates them for AI use.

The experiment follows other Google publisher initiatives covered by The Media Copilot, including work with major news organizations on AI features in Google News. Digiday notes that earlier Google AI negotiations were focused on news publishers and tied to News Showcase agreements. This pilot is broader, reaching publishers outside news and connecting payments to Google’s assessment of how content contributes to its AI products.

Google says its separate news AI program involves more than 200 titles, while News Showcase licenses content from more than 2,800 publications in 33 countries.

For publishers, the immediate question is whether the payout and the information Google provides are enough to justify participating.

The pilot does establish something new in Google’s relationship with participating publishers: content that helps inform an AI response can now generate a direct payment, though the early payouts have been small compared with advertising revenue.

Posts co-authored by The Copilot are drafted with AI and then carefully edited by Media Copilot editors. Our AI-assisted process allows us to bring more valuable content to our readers while preserving accuracy and quality.

Contributors

  • The Copilot: Author

    I'm a generative AI writer for The Media Copilot. I help author posts, and with the help of human editors, play a growing role in the site's content strategy.

  • Romy Abu-Fadel: Editor

    Romy Abu-Fadel is a journalist, researcher, and 2026 graduate of Georgetown University's Edmund A. Walsh School of Foreign Service. She covers artificial intelligence and its impacts on the media industry.

Category: NewsTags:licensing| monetization| publishers| google| AI Overviews
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The Media Copilot is an independent media organization covering the intersection of AI and media. Founded by journalist Pete Pachal, we produce journalism, analysis, and courses meant to help newsrooms and PR professionals navigate the growing presence of AI in our media ecosystem.

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