While most marketing leaders know AI-driven discovery is reshaping how consumers find brands, almost none of them have built the infrastructure for it.

Only 13% of marketing leaders have a clear path from AI-driven visibility to partner compensation, according to an April 2026 survey of 100 US marketing leaders conducted by EMARKETER and Partnerize.

• Another 22% say they can see the influence but have no way to translate it into economic value.

They know a partner is driving discovery. Their systems cannot pay for it. From a partner's perspective, those two positions look identical.

The measurement gap runs deeper than most organizations have acknowledged. Just 8% of marketing leaders can track AI-driven discovery's influence on revenue and conversions end-to-end, according to the study. Only 15% have a reliable way to measure revenue generated by consumers influenced by AI discovery off-site. Meanwhile, 60% of marketing leaders named AI-driven discovery the hardest channel to attribute, the highest share for any channel in the survey.

The click was holding everything together

For years, the standard attribution model worked because the path to purchase ran through a trackable action. A consumer searched, clicked, and converted. The click connected the channel to the outcome. Partners got paid, budgets got justified, and the whole system held together.

AI-driven search has broken that connection. Consumers are using AI earlier in the journey, well before they have buying intent, to compare options and narrow their consideration set. By the time they click anything, the decision is often already made.

"The things marketers measure in search virtually disappear in AI," said EMARKETER analyst Nate Elliott.

The scale of the shift is not speculative. This year, 106.2 million people in the US will use generative search, and 79.6 million will use genAI for shopping-related tasks, a 25% increase year over year, per EMARKETER forecasts. More than 60% of commercial Google searches now generate AI Overviews, according to Advanced Web Ranking. Most consumers never changed their behavior to get there.

The result is a structural mismatch. Publisher and creator content is becoming more valuable as a driver of AI visibility at exactly the moment click-based compensation systems are least equipped to reward it.

The problem extends beyond reporting

Attribution failures are consequential. When measurement erodes, so does the ability to evaluate partners fairly, allocate budgets accurately, or understand what is actually driving growth. More than half (54%) of marketing leaders surveyed said the rise of AI-driven discovery has undermined their confidence in their current attribution model. Only 14% disagreed.

Competitive pressure makes the gap acute. Two-thirds of marketing leaders fear publishers will deprioritize them in favor of competitors with better compensation systems. That concern reflects a real shift in how the partner ecosystem operates. As publishers and creators gain more influence over what surfaces in AI-driven discovery, they gain leverage over which brands benefit from that visibility. The brands that can recognize and compensate upstream influence will attract the partners driving it. The ones that cannot will get deprioritized, not through any single deliberate decision, but through the accumulation of choices made by partners that have better options.

"Affiliate content sites routinely rank among the most cited domains in LLM replies," said Max Willens, principal analyst of social media and the creator economy at EMARKETER. "And both creator- and user-generated content published across trusted domains like Reddit, YouTube, and Instagram can change a brand's AI visibility quickly."

Publishers are already responding. Nearly 4 in 10 (37.2%) worldwide publishers and advertisers are expanding affiliate- and partner-driven distribution to diversify traffic sources in response to zero-click discovery tools, according to a December 2025 survey from Mrge.

Four things marketers can do now

The report identifies four near-term priorities for organizations trying to close the gap.

Start with a visibility audit before investing in measurement infrastructure. Brands cannot measure influence at touchpoints where they do not appear. Running a baseline audit across generative search results, AI chatbots, and shopping assistants reveals which queries return the brand, which return competitors, and which return neither. That audit determines what kind of measurement system is actually needed.

Map the highest-risk partner relationships before competitors start recruiting them. Two-thirds of marketing leaders fear partner defection, but that fear is actionable only for organizations that know which partners would hurt most to lose. Mapping current partners against both last-click and zero-click influence creates a clearer picture of where the exposure is concentrated.

Build out compensation infrastructure now, even imperfectly. The bar is a credible connection between what a partner produces and what they get paid. That can start with negotiated bonuses tied to AI-citation tracking, multitouch models that give partial credit to upper-funnel partners, or content-licensing deals that pay for visibility itself rather than the resulting click. None of those solutions is complete. All of them are better than leaving partners to assume no model exists.

Run live attribution experiments. The 8% of organizations with end-to-end tracking did not get there by waiting.

The brands that solve this first will set the standard that slower-moving competitors will eventually be measured against.

This was originally featured in the EMARKETER Daily newsletter. For more marketing insights, statistics, and trends, subscribe here.