Media Briefing: The IAB finds AI measurement standards elusive for publishers amid platform data gaps

The Interactive Advertising Bureau (IAB) has published an "AI-Era Attribution Blueprint" to address the challenge of measuring the impact of artificial intelligence (AI) on consumer decisions and purchases. The blueprint, developed by a working group of tech companies, publishers, agencies, measurement vendors, and brands, highlights the gaps in data visibility when AI platforms are involved in influencing consumer behavior.

The IAB aims to standardize the process of attributing conversions to AI-driven recommendations and actions.

Caroline Giegerich, IAB's VP of AI, expressed the difficulty in attributing conversions to AI, noting that significant evidence layers are missing. The framework classifies who or what created the intent, made the decision, and executed the transaction, and defines additional claims AI involvement creates, along with the evidence required. The report emphasizes the importance of transparency and measurement gaps in verifying these claims.

One key insight from the IAB's report is that consumers who receive brand recommendations from AI assistants are 2.5 times more likely to visit that brand's website within seven days, but only 8.8% of those visits come directly from AI referrals. Most of the visits (55.9%) are attributed to search, while 19.9% are attributed to direct traffic.

The IAB framework aims to help identify claims about the influence of publisher content and the evidence needed to support them. However, the link between sourcing signals and downstream conversions remains largely missing, making it challenging to substantiate contributory claims.