Partnerize reports that LLMs and AI Overviews hide 43 untracked consumer journeys for every single tracked conversion.
Kate Ellis, EMEA Marketing Director at Partnerize, reports that Large Language Models (LLMs) and AI Overviews are creating a performance attribution "blind spot." In an analysis for the Partnerize blog, Ellis notes that AI-driven discovery threatens the trackable click, the traditional foundation of affiliate marketing.
The findings stem from Partnership Day London, where industry leaders from loveholidays, Acquire, and The Independent discussed the decline of the last-click model. Users increasingly research travel or luxury goods through AI interfaces, bypassing the traditional discovery funnel. Consequently, consumers reach brand websites already primed to purchase. This shift often leaves influencers or content creators uncredited.
Under-attribution in High-Consideration Sectors
Data presented by the panel suggests a disconnect between trackable actions and actual consumer behavior. Internal figures from loveholidays indicate that 43 untracked journeys occur for every single tracked last-click conversion. These journeys happen within LLMs, which synthesize information and present recommendations without providing clickable affiliate links.
Last-click is vanishing entirely. All of the inputs and content we spend money to create are being sucked into LLMs to surface answers, but because the click is gone, the publisher isn't recognized in legacy dashboards.
This gap affects high-consideration sectors most severely. Content publishers drive 60% to 70% of a brand's overall conversions. However, under-attribution rates in the luxury market range from 30% to 60%. In the travel sector, attributed conversions frequently drop by 50% compared to the actual influence exerted by top-of-funnel content.
Traffic Declines and the Citation Crisis
Beyond attribution issues, traditional publishers face a traffic headwind. Google’s core algorithm updates and the rollout of AI Overviews sparked an average 40% drop in organic site traffic for traditional content platforms.
The panel also highlighted a citation crisis, citing instances where AI chat interfaces removed publisher citations without warning. This unpredictability mirrors past social media algorithm shifts. To mitigate these risks, brands are moving away from purely deterministic tracking. Some now explore probabilistic modeling and cost-per-influence metrics. These tools ensure creators feeding AI models receive compensation even when a direct click is absent.
Measuring Influence in Zero-Click Environments
Performance marketers must rethink how they define and reward value. Relying solely on legacy dashboards will cause brands to lose their most valuable partners. Publishers continue to provide the data that trains LLMs. Therefore, the partnership industry must bridge this gap through sophisticated measurement tools and diversified payout models that account for influence rather than just the final click.
Affilitizer Editorial Team
This article was created with AI assistance and editorially reviewed.
