Google Ads AI Labels in India: What Hospitals and Brands Must Do Before Running AI-Made Ads

AI has made ad creative almost free. A product shot becomes a lifestyle scene in seconds. A still photo becomes a video. A clinic can generate ten banner variations before the first coffee.

But there's a catch many Indian advertisers are only now discovering. If your Google Ads campaign targets India and uses assets created or edited with AI, the ad itself can now carry a visible AI label. And if you get the setting wrong, you risk either a compliance problem or a label that confuses customers at the worst possible moment.

This week Google added more regions to the list where these on-ad labels appear. India has been on that list since the feature launched in July 2026. Here is what that means for your campaigns, and what extra care healthcare advertisers need.

Quick answer: For campaigns targeting India, ads with assets you mark as AI-created or AI-edited show a visible AI label overlay. Google may also label assets made with its own fully automated tools, and those labels can't be removed. Review the "AI label" column in your Asset library, label honestly, avoid AI images that could pass as real patients or real events, and for healthcare never use synthetic doctors, patients or testimonials.

What Google changed, and when

Google's AI content label help page explains that advertisers can mark assets as AI-generated or AI-edited. Ads using those assets then show a disclosure in the "How this ad was made" section of My Ad Center, worldwide.

In some regions the label also appears on the ad itself. For campaigns targeting these locations, ads with assets you mark as AI-created or edited include visible overlays:

1. European Union
2. India
3. New York
4. California
5. South Korea
6. Vietnam

California, South Korea and Vietnam were added in early November 2026, as Search Engine Roundtable reported on 5 November. India was already covered from the start.

Google's July 2026 policy update gave the reason: AI regulations in the EU, India and New York require that ads with certain AI-generated or edited assets carry disclosures or labels. The same update allowed advertisers to place their own AI labels inside image and video creatives without breaking Google's rules against text overlays and watermarks.

Key takeaways

1. Campaigns targeting India can show a visible AI label on ads that use AI-created or AI-edited assets.
2. Google may apply labels itself for assets from its fully automated tools; those can't be overwritten.
3. Google says the setting does not guarantee legal compliance, so advertisers stay responsible.
4. Healthcare advertisers face extra limits from NMC rules on synthetic patients and testimonials.

Why India is on the list: the 2026 IT Rules amendment

On 10 February 2026, the Ministry of Electronics and Information Technology notified amendments to the IT (Intermediary Guidelines and Digital Media Ethics Code) Rules, 2021, in force from 20 February 2026. MediaNama's explainer sets out the key points:

1. "Synthetically generated information" covers audio, images and video that a computer creates or alters so that it appears real and could be taken for a real person or real event.
2. Routine editing is excluded, such as colour adjustment, noise reduction, compression or accessibility improvements that don't change the meaning of the content.
3. Platforms must label permitted synthetic content prominently, add provenance metadata where feasible, and not let labels be stripped. The earlier draft's fixed "10% of the screen" label size was dropped in favour of "prominent and easily noticeable".

These duties fall mainly on platforms (intermediaries). That's exactly why Google asks advertisers to declare AI use: it needs the information to meet its own obligations. In practice, honest labelling is now part of running ads in India.

What triggers an AI label (and what probably doesn't)

Google leaves the decision about which assets need a label to advertisers, and says to take legal advice. A practical way for marketing teams to sort their creatives:

1. Fully AI-generated realistic person or scene. Likely treatment: Label it. Why: Looks real and could be mistaken for a real person or event.
2. Real product photo with AI-generated background. Likely treatment: Label it. Why: The scene shown was created by AI.
3. Still photo animated into video with AI. Likely treatment: Label it. Why: New realistic motion was generated.
4. Real photo with colour correction, cropping or noise reduction. Likely treatment: Usually no label. Why: Routine editing that doesn't change meaning.
5. AI-written headline or description text. Likely treatment: Check Google's settings. Why: The labels focus on image and video assets.
6. Clearly illustrated or cartoon graphic. Likely treatment: Judgement call. Why: Not likely to be taken for reality, but label if unsure.
7. Assets created by Google's automated tools. Likely treatment: May be labelled by Google. Why: Labels applied by Google can't be removed.

When in doubt, label. A small "AI-generated" note costs far less than a policy problem or lost trust.

How to set AI labels in Google Ads

Based on Google's help page:

When creating a campaign: if ads may need a label, you'll see a "Review assets" prompt. Select the assets, choose Manage AI label, then choose "Label this asset as created or edited with AI" or "Don't label this asset".

For existing assets: open Asset studio from the Tools menu, go to Asset library, open an asset and choose the label option, then save.

To audit everything: add the "AI label" status column in your Asset library and asset reports, then filter by it.

Adding your own label inside the creative

You can also design a label into the image or video. Google suggests:

1. Don't put it in the very corners or edges, where it may be cropped
2. Opt out of image enhancements (asset enhancements in Display and Performance Max, adaptive layouts in Demand Gen) that may crop your label

Google also notes that images and videos generated inside Google Ads tools carry invisible SynthID watermarks and C2PA provenance metadata.

Healthcare ads: stricter than the label

For hospitals, clinics and diagnostic centres, a label is not enough on its own. Some AI creatives shouldn't run at all.

The National Medical Commission's 2026 guidelines on ethical advertising, as reported by The Indian Express, bring digital promotion by doctors and hospitals under stricter rules. They say AI-generated or AI-assisted content must not make misleading or unverifiable claims about diagnosis, outcomes, qualifications or patient experiences, and AI must not be used to create synthetic images, voices or testimonials that could be mistaken for genuine patients. Patient success stories and before-and-after photos are also off-limits for promotion.

So for healthcare advertisers:

1. Never use AI-generated "patients", recovery stories or testimonials
2. Never create AI before-and-after images or "results"
3. Never generate a realistic doctor who doesn't work at your hospital
4. Use carefully: AI for backgrounds, illustrations of anatomy or processes, layout variations and copy drafts, always reviewed by a clinician for accuracy
5. Prefer: real photos of your facility, equipment and consenting staff

Patients choosing a hospital already worry about being misled. An "AI-generated" tag on a smiling patient photo can destroy trust faster than any competitor.

Does an AI label hurt ad performance?

Google hasn't published data on how the label affects click-through rates, and we won't guess. What we do know from running campaigns:

1. People respond to relevance and trust more than polish
2. A label on an obviously illustrated creative rarely surprises anyone
3. A label on a "real-looking" person can make viewers question everything else in the ad

The safest performance approach is to test: run labelled AI creatives against real-photo creatives in the same ad group, compare conversion rate and cost per lead, not just clicks, and keep whichever brings better-quality enquiries.

A 7-step AI creative compliance checklist

1. Inventory: export all image and video assets in active campaigns targeting India
2. Classify: mark each as real, routinely edited, AI-edited or AI-generated
3. Label: apply the Google Ads AI label to AI-edited and AI-generated assets
4. Check automated assets: review what Performance Max and other automated tools have created, and remove anything off-brand or misleading
5. Healthcare filter: remove any synthetic patients, testimonials, outcomes or doctors
6. Document: keep a simple sheet of tool used, date, approver and label status for each asset
7. Review monthly: new campaigns and new auto-generated assets keep arriving

How this fits AI-based performance marketing

AI creative tools are not going away, and they shouldn't. Used well, they let smaller businesses test more ideas and cut production costs. The winners will be advertisers who use AI for speed while keeping truth, labelling and human review in the process.

For more on getting AI bidding and creative to work together, see our guide to AI performance marketing for more leads and better ROI and our article on protecting brand search as AI Overviews change.

How Pengwin Solutions helps

Pengwin Solutions runs AI-based performance marketing for healthcare and other businesses, with compliance built into the workflow:

1. AI-assisted creative production with clear rules on what can and can't be generated
2. Asset audits and AI label setup across Search, Performance Max, Demand Gen and YouTube
3. NMC-aware creative review for hospitals, clinics and diagnostic centres
4. Testing frameworks that measure leads and patient enquiries, not vanity clicks

Explore our Google Ads and SEM services, AI video services and healthcare marketing.

Frequently asked questions

Does Google Ads show AI labels on ads in India?

Yes. For campaigns targeting India, ads with assets that the advertiser marks as AI-created or AI-edited show a visible AI label overlay on the ad. India was on the list from the feature's launch in July 2026.

Which regions show visible AI labels on Google Ads?

According to Google's help page, visible overlays appear for campaigns targeting the European Union, India, New York, California, South Korea and Vietnam. California, South Korea and Vietnam were added in November 2026.

Do I need to label an ad if I only colour-corrected a photo?

Routine edits such as colour correction, cropping or noise reduction that don't change the meaning are generally excluded from India's definition of synthetic content. Google leaves the decision to advertisers, so take legal advice for borderline cases.

Can Google add an AI label to my ad without my choice?

Yes. Google says it may label assets in some cases, including when you use its fully automated features to create creatives, and that those labels cannot be overwritten.

Can hospitals use AI-generated images in Google Ads?

Only with great care. AI can help with backgrounds, illustrations and layout ideas, but hospitals should never use AI-generated patients, testimonials, before-and-after results or doctors, which conflict with NMC advertising rules.

Does the AI label setting make my ad legally compliant?

No. Google says using the setting does not guarantee compliance with specific regulations. Advertisers should take legal advice and make sure their ads follow local laws and policies.

Run AI-powered ads without the compliance risk

Call +91 90326 18332, email hello@pengwinsolutions.com, or contact Pengwin Solutions for an AI creative and Google Ads label audit of your campaigns.