Google Ads AI Label: What Changed and What Advertisers Should Do

What changed

On 5 November 2026, Search Engine Roundtable reported that Google Ads has expanded the regions where advertisers need to disclose AI use in ads. California, South Korea and Vietnam have been added to a list that already included the European Union, India and New York.

The detail comes from Google’s own help page, Use AI content label settings and disclosures. It now lists six regions: the European Union, India, New York, California, South Korea and Vietnam. The page shows no update date, so we are relying on the Search Engine Roundtable report for the timing of the expansion. Google has not told us, on the page we reviewed, when each region takes effect.

What the AI label actually does

Google’s help page says laws in some regions may require you to label ads that use certain assets created or edited with AI. In your account you can designate an asset as created or edited with AI. Ads that contain those assets then carry a disclosure in the “How this ad was made” section of My Ad Center.

For campaigns that target the listed regions, the same designation also adds a visible overlay on the ad itself. That is the part most advertisers will notice, because it changes what the customer sees, not just what sits in a settings panel.

The setup flow gives you two choices per asset: label it as created or edited with AI, or do not label it. Google also says it may label assets itself in some cases, such as assets from its fully automated features, and in those cases the labels cannot be overwritten.

Who this affects

The wording on the help page is about campaigns that target the listed locations. So the question is not where your business is based. It is where your ads are set to show.

If you run location targeting for any of the six regions, check your assets. That includes New York and California as separate US targets, which many national US campaigns already include without anyone choosing them on purpose. If your campaigns target only other countries, such as the UK, Canada or Australia, those are not named on the page we reviewed. Search Engine Roundtable expects the list to keep growing, so recheck the page now and then.

This also matters if you use AI to produce images, video or copy. Image and video assets made with Google’s own tools in Google Ads carry SynthID watermarks and C2PA metadata, according to the same help page.

What to do this week

1. List your targeted locations. Check every active campaign for the six regions, including broad US targets that include California or New York.
2. Audit your assets. Go through images, video and text. Note which were created or edited with AI, by your team, a freelancer, an agency or a tool such as Performance Max’s automated creative.
3. Decide your label rule. For each asset in the affected campaigns, choose between labelling it as created or edited with AI or not labelling it. Write the rule down so everyone applies it the same way.
4. Ask your creative suppliers. Add one question to your brief: was AI used to create or edit this file? Without that answer you cannot label it correctly.
5. Get legal advice where the stakes are high. Google states that using the label setting does not guarantee compliance with specific regulations. Healthcare, finance and other regulated sectors should ask a lawyer, not rely on a settings toggle.

What it means for performance and trust

We have not seen published data on how AI overlays affect click-through or conversion rates, and we are not going to guess. What we can say is that a visible disclosure changes the ad, so it is worth watching your numbers in the affected locations once labels go live.

A sensible test is to compare the same campaign in a labelled region and an unlabelled one, with a clear start date, and look at click-through rate, conversion rate and cost per acquisition. Keep the sample honest. A few days of data in a small account will not tell you much.

There is a trust angle too. Customers are getting used to seeing these labels, and clear, accurate creative tends to hold up better than creative that looks as if it is hiding something. Real photography of your own product or team still sets you apart.

Mistakes to avoid

• Assuming “we only use AI a little” means nothing needs checking. The setting works per asset, so one edited image in a listed region counts.
• Forgetting automated assets. Google can label assets from its own automated features, and you cannot override that label.
• Treating the toggle as legal cover. Google says it does not guarantee compliance.
• Leaving it to the designer. Without a written process, labelling depends on who remembers.

Next steps

Open the Google help page, check which of your campaigns target the six regions, and run the asset audit above. If you manage several accounts or use AI-made creative at volume, build the question into your creative brief now. It takes ten minutes and saves a messy clean-up later.

If you would like a second pair of eyes on your account, our Google Ads management team can review your campaigns and creative process, and our AI video and creative work includes a clear record of how each asset was made.

Sources

• Google Ads Help: Use AI content label settings and disclosures (reviewed 6 November 2026; the page shows no update date).
• Search Engine Roundtable: Google Ads Expands AI Content Disclosure Label To More Regions, 5 November 2026.

Frequently asked questions

Where we can help

Not sure which campaigns or assets are affected? We will review your account and tell you plainly what needs attention.

Written by the MAQ Digital Media team. Platform features, policies and interfaces change often, so check each platform’s current help documentation before acting on any step. Last reviewed 6 November 2026.