AI’s New Not Provided Moment, What Brands Do
As a branding content curator, I recommend this incisive analysis on attribution and AI. Duane Forrester connects Google’s 2011 privacy move to ChatGPT’s emerging paywalled measurement. The piece explains why platforms will monetize closed-loop attribution through ads. It shows how toggles, not meters, deny organic operators the metrics they need. It distinguishes referral, incrementality, and influence, and prescribes practical experiments you can run yourself. Read it if you want clarity, defensible measurement strategies, and a playbook grounded in first-party data. Expect clear vendor tests and honest first-party strategies you can validate practically today.
The article maps practical steps you can take now to measure AI-driven visibility. It guides referral classification, UTM tagging, and properly designed incrementality tests. You will learn how to interrogate vendors with a single, decisive question about data sources. The piece also frames the cultural work branding teams must do to build trust. If you care about measurement truth, this is a must read and a practical roadmap. Bookmark it, share with analytics leads, and run one vendor test within thirty days. Then report your findings, and raise the industry literacy this conversation needs.
Source: www.searchenginejournal.com
