If a customer buys a product without ever clicking a link to a retailer's website, who gets credit for the sale? That question is becoming less hypothetical as Google pushes AI Mode and Gemini toward handling purchases directly inside a chat conversation.

For two decades, affiliate marketing has run on a simple mechanic: a blogger, reviewer, or deal site posts a tracking link, a shopper clicks it, a cookie gets dropped, and if a purchase follows, the publisher earns a cut. That model depends on the shopper actually landing on the retailer's site. AI Mode and Gemini are built to keep users inside Google's own interface for as long as possible, including, increasingly, the moment of purchase.

Industry discussion now centers on whether traditional click-based tracking can survive that shift. If an AI assistant recommends a product and completes the transaction through an embedded checkout flow, the usual referral link may never get triggered. That breaks the chain affiliate networks rely on to prove a sale originated from a specific publisher.

The practical response being floated by SEO and affiliate specialists involves two things: stronger, more durable tracking methods (such as server-side tracking or API-based attribution that doesn't depend on a browser cookie surviving the session) and more selective choices about which affiliate programs and networks to work with, favoring those already building attribution systems that can function inside AI interfaces rather than just browser clicks.

This isn't the first time AI has squeezed the traffic affiliate sites depend on. Google's AI Overviews, which summarize search results directly on the results page, have already been blamed by publishers for falling click-through rates over the past year. OpenAI, Perplexity, and Amazon's Rufus assistant have all rolled out their own shopping-recommendation features, each with its own approach to crediting (or not crediting) the sources they draw from. In-chat checkout is the next logical step in that pattern: fewer clicks, more transactions completed without ever leaving the AI's own window.

What's genuinely new here is the checkout step itself. AI tools recommending products is old news. AI tools processing the purchase, cutting the retailer's own website out of the transaction entirely, is a bigger structural change, because it removes the one moment where affiliate tracking traditionally does its job.

For small businesses that earn income through affiliate content, whether that's a niche review blog, a local shop with an affiliate sideline, or a service business recommending tools to clients, this matters directly to revenue. If AI checkout becomes common and tracking doesn't adapt, commission income tied to Google-based AI tools could quietly shrink even if traffic and recommendations keep flowing.

For retailers running their own affiliate or referral programs, the question flips: it becomes worth checking whether your program's tracking technology depends solely on browser cookies, or whether it can attribute a sale that happens inside a third-party AI interface. Programs stuck on older cookie-only tracking are more exposed than those using server-side or API-based methods.

Either way, diversifying where affiliate income or referral traffic comes from, rather than leaning on any single AI platform or search channel, is the kind of hedge that's proven useful every time a major platform has changed how it handles clicks and attribution.

Watch for three things over the next few months: whether Google publishes any official attribution or affiliate-tracking guidance for AI Mode checkout, whether major affiliate networks like Impact or CJ Affiliate announce AI-compatible tracking updates, and whether OpenAI or Amazon follow with their own in-chat purchase features that would signal this becoming an industry norm rather than a Google-specific test.

The bottom line: affiliate commissions built on click-based tracking face a structural risk as AI assistants move from recommending products to completing purchases themselves, and businesses relying on that income should audit their tracking setup now rather than after a platform change forces the issue.