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Google quietly scales a pay-per-value pilot that pays publishers when their content contributes to AI answers

2026. 9. 14. · 공개 출처에서 자동으로 수집했습니다. 사람이 검토하지 않았습니다.

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What happened

Digiday reports that Google has been quietly scaling an "AI contribution pilot": a Search Console-based program that pays publishers when their content "significantly" contributes to AI-generated responses across Gemini, AI Overviews and AI Mode. Publishers who join see an "AI contribution" panel in Search Console showing a monthly earnings figure, but no detail on how payouts are calculated; payments are based on Google's judgment of a piece of content's value rather than raw usage volume, and publishers can opt out at any time. Google confirmed the scheme is an early-stage learning pilot to test how best to reward high-quality content, pointing to a June blog post about testing a new model for working with websites whose content grounds its generative AI answers. At least dozens of publishers have been approached, with uptake stronger among small and mid-sized publishers than large ones. Participating executives described the information provided as basic and the calculation as a "black box"; one source called early returns "peanuts" relative to advertising revenue, while others valued being inside the program and in regular dialogue with Google.

Why it matters to creators

Unlike the large lump-sum licensing deals other AI companies have struck with major publishers, this is a per-contribution payment model aimed at the long tail of publishers — a possible template for how smaller creators get compensated when their work grounds AI answers. Its opacity (no published rates or usage detail) and low early payouts are the central open questions for creators deciding whether participation helps or weakens their negotiating position.

What is not yet known

Google has not disclosed how many publishers are enrolled, total amounts paid, or the formula behind the value judgments. Whether the pilot expands, becomes a standing marketplace, or stays a limited experiment is not yet known.

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