Strategy & governance · 8 min read
Brand safety and privacy for ChatGPT Ads
A new advertising environment deserves a fresh review, not a copied approval from another channel. Teams need to understand where ads may appear, what data moves between systems, and who can stop activity when the context is wrong.
Separate targeting assumptions from facts
Document the controls actually available in the approved account and product documentation. Do not describe inferred interests, conversation context, exclusions, or reporting detail more precisely than the platform does.
Review sensitive categories and regulated claims with the right legal or compliance owner before campaign production begins.
Map the data flow
List what is collected on the landing page, which vendors receive it, the lawful basis or consent state, retention, access, and deletion process. Include analytics, tag management, CRM, call tracking, and offline conversion uploads.
Collecting less is often the most robust control. A field should have a clear purpose before it enters an advertising or sales system.
Prepare an escalation route
Name contacts for misleading placement, unsuitable context, incorrect claims, broken landing pages, tracking leakage, and unexpected spend. Give them access and authority before launch.
Capture screenshots, timestamps, campaign IDs, and the action taken during an incident. Review the root cause afterwards rather than treating the pause as the final fix.
Review as the product changes
New controls, placements, and measurement features can change the original risk assessment. Schedule reviews and trigger an extra check when the account receives a material product update.
Keep approved claims, destinations, audiences, and data uses in one register. Governance works better as a maintained operating process than a launch document nobody reopens.