Google is rolling out controls that let advertisers disclose when an image or video was generated or materially edited with artificial intelligence. The setting is appearing across Google Ads, Display & Video 360, Campaign Manager 360, Merchant Center and Google Ads Editor. Eligible ads can display a disclosure icon, while some assets created with Google’s own tools may be labelled automatically.
The useful interpretation is not that campaign managers have gained another checkbox. Creative provenance is becoming an operational requirement. A brand must know how an asset was produced, which tools changed it, whether a disclosure is required in the market where it will run and who approved the final version. Without that chain of evidence, a platform feature cannot guarantee compliance.
Labelling starts before an asset enters Google Ads
Most creative files reach the media team with little production history attached. A filename, campaign code and final approval are often all that survives the journey from agency or studio to the ad account. That was already weak governance; AI disclosure makes the gap visible.
Add a compact provenance record to every image and video. It should identify the source, generation or editing tools, type of AI intervention, date, owner, usage rights and markets cleared for activation. The record can live in a digital asset manager, project system or structured spreadsheet. The system matters less than the rule that no asset moves into activation without it.
Separate assistance from material alteration
Not every use of AI has the same significance. Removing dust, resizing a background or generating an entire scene create different consumer and regulatory questions. Build a short classification that production teams can apply consistently: conventional edit, AI-assisted edit, material AI alteration and fully generated asset.
Define examples for each class and state when legal or brand review is mandatory. This prevents campaign managers from making policy decisions under deadline pressure. It also creates comparable data: the company can see how much of its creative supply uses AI and where approvals repeatedly slow down.
Design for a patchwork of markets and platforms
Google explicitly warns that using its label does not by itself establish legal compliance. Requirements can differ by jurisdiction, format and subject. A campaign running across the European Union, India and the United States may therefore need more than one treatment even when the underlying asset is identical.
Maintain a simple activation matrix: market, platform, asset class, required disclosure, reviewer and evidence retained. Review it on a fixed cadence rather than only when a campaign launches. Platform controls will continue to change, and a process that was valid last quarter may become incomplete.
Make provenance measurable, not ceremonial
Useful controls have owners and service levels. Track the share of activated assets with complete provenance, the percentage requiring disclosure, approval turnaround time, exceptions, and assets withdrawn after launch. Audit a sample each month from media placement back to source file.
For CMOs, the strategic issue is trust at scale. AI can expand creative volume faster than a traditional review process can absorb it. The answer is not to slow every asset equally, but to route higher-risk work through stronger checks and allow low-risk changes to move quickly under clear rules.
Google’s new labels are best treated as the final visible output of an internal system. Establish the evidence at creation, preserve it through handoffs and let the activation team apply the correct disclosure with confidence. That turns a compliance burden into a repeatable creative capability.
Sources
- Search Engine Land: Google rolls out AI content labels in asset studio
- Google Ads Help: About AI-generated content disclosures in ads
