Google adds AI disclosure labels to Search and YouTube ads
- Regulation
Google is adding disclosures that tell users when an ad was made with AI, and the labels will reach ads across Search, YouTube and Discover. The information sits in a new “How this ad was made” section inside My Ad Center, and in markets whose rules demand it, a label can appear directly on the ad itself. For brands generating ad creative at scale with AI tools, this turns AI disclosure from a compliance question into an operational default.
What happened
Google announced on 9 July 2026 that it will show whether an ad was created or edited with AI. Users reach the detail through the three-dot menu or the info icon on an ad, which opens a “How this ad was made” section in My Ad Center. When advertisers use Google’s own generative AI ad tools, Google adds the disclosure to that panel automatically. For creative built with other AI tools, Google is giving advertisers a control to declare the AI use themselves.
The disclosure is not always tucked away in a panel. Depending on local requirements, Google said a label may also surface directly on the ad, either automatically or after the advertiser applies the control.
“We’re adding a ‘How this ad was made’ section to the My Ad Center panel, accessible globally by selecting the three-dot menu or info icon on ads across Search, YouTube and Discover.”
Google Ads blog
Why it matters
AI disclosure is moving from a voluntary nicety to something platforms and regulators will expect by default, and Google’s rollout builds on transparency work it started with synthetic-content rules for election ads in 2023. The phrase that matters for brands operating across borders is “local requirements”: in some markets the label is optional, in others it will appear on the ad whether the advertiser opts in or not. The EU’s AI Act carries transparency obligations for certain categories of AI-generated content rather than for every AI-assisted ad, so European brands should check whether their campaigns fall within those rules instead of assuming they are exempt.
The reputational stake is real too. A disclosure that appears inconsistently, present in one market and absent in a neighbouring one for the same campaign, reads as carelessness rather than compliance.
What this means for multi-location brands
For a central marketing team running paid campaigns across dozens of markets, the task is to set one AI-disclosure posture and apply it everywhere rather than leave it to individual market teams. Decide now which campaigns lean on generative AI creative, assume the disclosure will show wherever local rules require it, and make sure the brand voice and claims in AI-assisted ads survive that scrutiny. An AI label next to a location’s ad only helps if the local ad campaigns behind it are accurate and on-brand across every location.
The wider lesson is that trust signals now travel with your listings and your ads alike. The same discipline that keeps a consistent local business listing accurate across a whole estate is what keeps AI-labelled advertising credible, and for teams managing presence across multiple European markets that governance has to hold market by market, not campaign by campaign.
The bottom line
Google is normalising the idea that an ad will tell you when AI helped make it. For large brands the smart response is not to wait for each market’s rules to force the label, but to treat AI disclosure as a standing part of campaign governance, so what shows next to every location’s ad is deliberate and consistent.
Source: Google Ads blog
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