IAB introduces framework to classify AI’s role in conversions

The Interactive Advertising Bureau (IAB) has introduced the AI-Era Attribution Blueprint, a framework intended to help advertisers, agencies, publishers and AI platforms assess which participants can claim credit when artificial intelligence influences or completes a purchase.

Rather than replace existing attribution systems, the blueprint adds a shared method for describing AI’s place in the customer journey. It sorts conversions into three pathways: human-owned, AI-assisted and AI-executed. To assess potential claims, it considers who established the purchase intent, who made the decision and who completed the transaction.

The framework arrives as AI-mediated activity complicates measurement based on visible clicks and referrals. In IAB’s “2026 Outlook Study: September Update,” 45% of ad buyers identified comparing AI-driven journeys with traditional customer journeys as their leading measurement challenge. Another 44% said they use branded search and direct traffic as proxies for AI influence they cannot track directly.

Caroline Giegerich, IAB’s vice president of AI, said in the organization’s announcement that as AI takes on more of the purchase journey, the clicks and referrals used by conventional attribution are diminishing or disappearing. She also warned that AI-influenced sales may be credited to search or direct traffic, which could lead marketers to direct future investment toward the wrong channel.

Claims depend on the journey and supporting evidence

The blueprint distinguishes between being eligible to claim a role in a conversion and receiving attribution credit. A decision claim applies to a party that influenced or made the purchase decision. A contributory claim recognizes a party that helped shape the outcome but did not make the decision itself.

Whether a party can make either claim depends on the conversion path and the evidence available. That evidence presents a significant limitation: information needed to establish AI’s influence may not be collected, or may remain inside AI platforms. The framework offers common categories for interpreting claims, but it does not make unavailable data observable.

IAB assigns potential responsibilities across the ecosystem. Brands can estimate the share of conversions that fall into the three pathways. AI platforms can identify whether recommendations were paid or organic, disclose the sources informing them and consistently label traffic originating from AI.

Agencies can use a consistent claims-and-evidence standard across platforms. They are also expected to distinguish claims reported by platforms from those that have been independently verified. Publishers, meanwhile, can identify where their content contributed to a conversion and provide evidence for that role.

A common vocabulary, not a measurement fix

The blueprint’s immediate purpose is to make AI-related attribution claims more consistent, not to settle every question of credit. A shared vocabulary could help marketing teams compare how different parties describe a conversion, while the evidence requirement makes clear that a label alone does not establish influence.

For marketers, the distinction between platform-reported and independently verified claims is particularly important when evaluating performance. The framework calls for agencies to make that difference explicit, but the underlying ability to verify a claim will still depend on what data is available from the parties involved.

IAB plans to convene brands, agencies, AI platforms, retailers and publishers to share findings as more data becomes available and refine how AI’s role in commerce is measured. The organization’s announcement does not describe the blueprint as a replacement for existing attribution approaches; it is intended to address the additional claims that arise when AI participates in a purchase journey.

For now, the framework sets out how those claims can be categorized and what kinds of evidence different participants may be positioned to provide. Its practical reach will depend on whether organizations can collect and share enough information to substantiate AI’s role in individual conversions.