IAB drafts attribution standard as startups test ways to measure AI agent ads

August 20, 2026 · Digiday

Steven Liss, co-founder of OpenAds, said advertisers will not move past experimental budgets for ads served to AI agents until they can measure a real outcome, Digiday reported in its Media Briefing. OpenAds embeds unique, AI-tailored referral codes into ad copy so a chatbot like ChatGPT can surface a link when a shopper's prompt matches; Oasy is working with larger native ad platforms to build cost-per-click and cost-per-referral tracking for AI bot traffic that publishers detect through integrations with CDNs like Cloudflare. Time runs FAQ-style sponsored ads inside markdown pages and uses Mobian to measure AI visibility, favorability and accuracy scores over time. The IAB is drafting an attribution framework for agentic advertising, following AI visibility measurement and AI-disclosure standards it released earlier this month.

Budgets for AI agent campaigns will stay experimental until buyers can trace a chatbot recommendation back to a specific ad, a gap that leaves programs reliant on proxy metrics like GEO lift or agent retrieval counts instead of attributed return on ad spend. Only 21% of publishers cover AI bot rules in their robots.txt files on average, and 26% of ChatGPT responses now carry a sponsored ad, numbers that show how uneven adoption is before any shared measurement standard exists. Agencies planning early AI agent placements should treat current metrics as directional and watch the IAB's forthcoming framework before committing spend beyond test budgets.