IAB publishes rules for claiming AI’s role in sales, but evidence gaps remain

A sale influenced by an AI assistant can still be credited to search or direct traffic, sending marketing money toward the wrong channel. The Interactive Advertising Bureau published its AI-Era Attribution Blueprint on November 12, 2026, to address that problem—not by awarding credit, but by defining who can claim it and what evidence they need.

The release addresses a measurement problem already affecting ad buyers. In its announcement, IAB cited its September outlook update: 45% named comparing AI-driven and traditional customer journeys as their top measurement challenge. Another 44% relied on branded search and direct traffic as substitutes for AI influence they could not track.

A claim is a starting point, not an award

The blueprint begins with three questions: who or what created the intent to buy, made the decision and completed the purchase? Those answers classify a conversion—a completed purchase—as Human-Owned, AI-Assisted or AI-Executed. The pathway then determines which parties are eligible to make a decision claim or a contributory claim, and what evidence each requires.

Eligibility does not establish that a party deserves credit. IAB explicitly defines a claim as the right to be evaluated for credit, rather than credit itself. The framework works alongside existing attribution systems, adding standards for the claims AI introduces instead of replacing those systems with a new formula for dividing up a sale.

The work took four months and involved technology companies, publishers, agencies, measurement vendors and brands. Participants included People Inc., Walmart, WPP Media, Microsoft and Prudential Financial, according to Digiday. At an IAB roundtable ahead of publication, Caroline Giegerich, the organization’s vice president of AI, described how missing evidence had changed the effort’s direction.

Going in, I thought that we were going to help figure out how credit was assigned through the process. I realized actually what this document was starting to become was more of a call to action to the industry.

Caroline Giegerich, IAB vice president of AI, at an IAB roundtable, as quoted by Digiday

A cited review still needs a link to the sale

The blueprint’s publisher example shows the distinction. An AI answer engine might draw on a product review when recommending an item. The shopper may never click the review’s citation, and the retailer may record the eventual purchase as search or direct traffic. In that scenario, the publisher is eligible to claim a contribution, but proving it requires more than showing that its review appeared.

Different uses of content leave different evidence. Material used in model training generally cannot be traced from outside the model, the blueprint says. Content consulted to inform an answer, and citations displayed with it, are more observable. Even then, a citation does not establish how much a source influenced the answer. The largely missing piece is the connection between those sourcing signals and downstream purchases.

The next step requires platform disclosure

IAB says much of the necessary evidence is either not captured or held inside AI platforms. Its recommendations divide responsibility across the businesses making, buying and measuring recommendations:

• AI platforms should disclose whether recommendations are paid or organic, identify the sources informing them and label AI-originated traffic consistently.
• Brands should estimate what share of their conversions falls into each of the three purchase pathways.
• Agencies should apply one claim-and-evidence standard across platforms, distinguishing platform-reported claims from independently verified ones.
• Publishers should identify the contributory claims their content creates and the evidence needed to support them.

A shared vocabulary has value even before those gaps close. At the roundtable, People Inc. chief innovation officer Jon Roberts said vendors use the same measurement terms to mean different things. He said the framework helps publishers compare those offerings. IAB also plans to convene industry participants to share lessons as more data becomes available.