At PI LIVE Europe, one of the most useful questions for performance marketers was also one of the most ordinary: can this product meet the shopper’s actual requirements? Delivery timing, product fit, and confidence in an unfamiliar brand can determine whether a recommendation becomes a purchase.
Our colleague, Ava Griggs, attended Clearpay’s panel, “The Changing Journey from Influence to Intent to Purchase,” with Jillian Sun of AliExpress and Jonny Aston of adMarketplace. Her takeaway was that AI-assisted search is changing the questions people bring to product discovery. Aston described how those tools can help a shopper consider a brand they might otherwise overlook when it meets specific needs.
That is one observation from a named session, not a claim about every conversation at the show. It is a strong starting point because it connects discovery to the part of commerce that actually has to work.
Intent Is More Specific Than a Click
A shopper looking for a product is rarely asking only which brand bought the most visible placement. They may need it by Friday, in a particular size, at a certain price, with a return option they trust. An AI answer or creator recommendation can narrow the field, but the merchant still has to supply accurate product and service information.
This shifts the work of performance marketing upstream. The partner that makes a product understandable may shape the decision before a conventional referral is recorded.
The merchant whose offer best answers the shopper’s constraints may earn consideration even without the strongest name recognition.
The practical test is simple: ask the same questions a shopper would ask, then inspect what an AI or commerce surface can retrieve. If the information is absent, outdated, or inconsistent with checkout, the gap is not merely a search-optimization problem. It is a customer-experience problem.
Proof Is Moving Beyond the Last Referral
PI LIVE’s leadership panel put the scale of the affiliate industry on the table. That ambition depends on a more basic capability: showing which partners created value when discovery, recommendation, and purchase no longer happen in one traceable sequence.
Other visible developments help explain why the question matters. At PI LIVE, Optimise announced AI agents intended to help advertisers interpret partner performance and identify growth opportunities. The event’s AI and Partnerships Summit agenda raised questions about AI-mediated discovery, publisher compensation, and attribution. These are agenda and announcement signals, not proof that a new measurement standard has been settled.
Taken together with Ava’s panel observation, they point to an operating challenge. Brands need to know which partners helped a shopper form a useful choice, which information made the offer credible, and whether the resulting sale was incremental and profitable. Partners need evidence that their contribution is being evaluated on a fair basis.
What We Will Watch After the Show
The next useful evidence will come from specific implementations and partner experiences, not broad declarations that the funnel is over. We will be watching how platforms document an AI-influenced path to purchase, how publishers are compensated when their content informs an answer without a referral, and whether merchants can reconcile those claims with real orders and customer outcomes.
For now, the most actionable lesson is to connect shopper questions to offer accuracy and partner measurement. If a product can be found but its delivery promise cannot be trusted, discovery has not done its job. If a partner makes the choice possible but the program sees only the final click, the growth system has not done its job either.