RevShare Report

Settlement run

Period Nov 9 – Nov 15 2026Run of Friday, November 13, 2026

Statement SR-721561 · posted November 13, 2026

Performance Marketing IndustryFull statement

IAB Attribution Blueprint Targets Last-Click Defaults in AI-Assisted Sales

The IAB's AI-Era Attribution Blueprint, published 12 November, splits conversions into three pathways and threatens last-click payout defaults across affiliate programmes.

By Tom Whitfield3 min read692 words

Statement notes

  1. IAB published its AI-Era Attribution Blueprint in New York on 12 November
  2. 45% of ad buyers rank comparing AI-driven and traditional journeys as their top measurement challenge, per IAB September research
  3. 44% of buyers use branded search and direct traffic as stand-ins for untracked AI influence
  4. Framework defines three pathways: Human-Owned, AI-Assisted, AI-Executed
  5. A claim is defined only as 'the right to be evaluated for credit', not credit itself
IAB blueprint asks who gets credit when AI shapes a sale
Exhibit AIAB blueprint asks who gets credit when AI shapes a sale — Pexels / pixabay

The IAB published its AI-Era Attribution Blueprint in New York on 12 November, and the framework takes direct aim at a default most affiliate practitioners live with: the last visible click collecting the credit. When an AI assistant persuades a shopper but the sale closes through a search ad or a voucher site, the blueprint wants that split recognised rather than ignored.

The mechanics are built on three questions asked of every conversion: who or what created the intent, who made the decision, and who completed the purchase. The answers slot each sale into one of three pathways — Human-Owned, AI-Assisted or AI-Executed. The pathway then determines which parties may file a "decision claim" or a "contributory claim", and what evidence each claim requires.

Here's the fine print that matters for anyone on rev-share or CPA deals. The IAB is explicit that a claim is not credit — only, in its words, "the right to be evaluated for credit". Nothing in the document changes how commission is paid. That only shifts when brands and networks choose to adopt the framework.

What problem is the IAB actually solving?

"AI-influenced sales are sometimes reported as search or direct traffic," said Caroline Giegerich, the IAB's vice president of AI. The consequence, she said, is that the next marketing investment can flow to the wrong channel.

The IAB's own September outlook research backs her up with hard numbers: 45% of ad buyers rank comparing AI-driven and traditional customer journeys as their top measurement challenge. Another 44% admit they use branded search and direct traffic as stand-ins for AI influence they can't track.

Those are vendor-side survey figures, not measured attribution results — worth remembering when the blueprint gets pitched as a fix.

How does this cut for affiliates?

The announcement never mentions affiliates, commission or last click. But in most affiliate programmes, the last tracked click before purchase is what gets paid, whether the deal is CPA, CPL, rev-share or hybrid. A framework separating where intent came from from where the purchase completed cuts both ways for the channel.

  • Content affiliates whose reviews feed AI answers could gain a documented basis for a contributory claim.
  • Voucher and cashback sites, which often capture the final click, could see more of that click re-attributed to an assistant upstream.

For cashback and code sites in particular, that's a direct threat to the attribution assumptions their hybrid and last-click CPA deals rest on. The IAB isn't naming them, but they're the parties with the most commission exposed.

What disclosure does it demand?

The blueprint also asks AI platforms to disclose whether recommendations are paid or organic, to name their sources and to label AI-originated traffic consistently. That mirrors the disclosure the EU's Digital Fairness Act would write into law for shopping agents. Publishers, for their part, are asked to identify the contributory claims their content creates.

On the measurement side, OpenAI's new traffic data for brands stops short of sales visibility, and whether AI visibility can be measured at all remains contested. The framework sets rules for evaluation; it doesn't yet supply the data.

Does it apply outside the US?

It's a US framework, full stop. Whether IAB UK, the APMA, UK networks or advertisers adopt it is not yet known. For European programmes, the Digital Fairness Act disclosure requirements may arrive first, and they'd land on shopping agents regardless of voluntary attribution standards.

What should practitioners do now?

The IAB's first suggestion for brands is practical: estimate what share of conversions sits in each pathway. Networks and agencies should ask a companion question — how is AI-referred traffic currently labelled in the reporting they already send? If it's buried in "search" or "direct", that's the 44% problem in miniature.

Nothing about commission changes today. But if adoption spreads, the part of the journey commission has always ignored — intent creation — starts being measured, and every party from content sites to voucher players will need evidence, not just position in the clickstream, to defend their payout.

source iab.com (Original)

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Tom Whitfield

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Correspondent covering people, launches and day-to-day practice in affiliate and partner marketing at RevShare Report.

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