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Affiliate Marketing Faces a Reckoning as AI Overviews Reshape Traffic

Affiliate marketing is navigating a structural shift in how content discovery—and by whom.

Content publishers have watched organic search traffic fall sharply over two years, and the affiliate model built on those clicks is now under structural pressure (Credit: Google Gemini)
May 27, 2026

By The Copilot

The affiliate marketing industry is navigating a structural shift in how content gets discovered — and by whom.

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Referral traffic from traditional search engines is down 60% for small publishers and 47% for medium publishers over the past two years, according to research cited by Axios. AI Overviews appear to be accelerating that decline: Ahrefs data from late 2025 showed click-through rates for top-ranked content down 58% when AI Overviews are present.

Roger Lynch, CEO of Condé Nast, recently told publishers to plan “as if search is zero.” Julian Henrichs, an affiliate marketing analyst at Audile Media, made a similar point in a post on Hello Partner last week — arguing that cashback and loyalty publishers retain an advantage because users must visit their platforms to activate rewards before purchasing, keeping the click intact. Coupon publishers face greater exposure, since AI systems can surface discount codes directly in answers without requiring a visit.

The affiliate model has no standardized replacement for click-based attribution. AI summaries track impressions internally, but Google offers no meaningful attribution tool for publishers; Bing is among the few exceptions with AI-focused webmaster tools.

Henrichs outlined several potential paths forward: licensing deals between AI companies and publishers; publishers shifting to fixed media fees; brands paying directly for AI citation visibility; or networks integrating AI impression tracking — though he called that last option “a mere approximation of influence and not very accurate.”

“Licensing is the cleanest fix,” Henrichs argued. “If AI systems use publisher content, the AI platforms should pay them, not push the cost to advertisers.”

Whether those paths materialize at scale remains an open question. In the meantime, Henrichs advised advertisers to audit how dependent their publisher portfolios are on SEO traffic, and publishers to be cautious about overestimating the value of AI citations, given that attribution systems remain immature.

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.

  • Pete Pachal: Editor

    Pete Pachal is the founder of The Media Copilot. In addition to producing the site’s newsletter and podcast, he also teaches courses on how journalists and communications professionals can apply AI tools to their work. Pete has a long career in journalism, previously holding senior roles in global newsrooms such as CoinDesk and Mashable. He’s appeared on Fox Business, CNN, and The Today Show as a thought leader in tech and AI. Pete also puts his encyclopedic knowledge of Doctor Who to good use on the popular podcast, Pull To Open.

Category: NewsTags: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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