Knowing how to disclose AI-generated ads is no longer optional for brands running creative through Google, Meta, or TikTok. Google began requiring advertisers to label AI-generated or edited assets in July 2026, and the practical answer is simple: if an image, video, or voice in your ad was made or meaningfully changed by AI, you flag it in the platform’s disclosure settings before the ad goes live. Most major ad platforms now require some form of AI disclosure, and the correct move for ecommerce brands is to label any AI-generated ad creative at the asset level inside the ad platform’s tools, not just in a footnote on the landing page.
At Signalytics, we build a lot of ad creative using AI tools alongside human designers and copywriters, so this question comes up constantly with the brands we work with. The rules differ slightly by platform and by where your audience lives, but the underlying principle holds everywhere: shoppers should be able to tell when a picture, video, or voice they’re seeing was made with AI. Getting this right protects your account from disapprovals and keeps your brand’s reputation intact.
When Must You Disclose AI-Generated Ads?
Disclosure is required when AI-generated content could pass as something real, when it supports a specific product claim, or when a law in your market demands it. Google Ads policy, state laws like New York’s synthetic performer rule, and the EU AI Act all point to the same test: would a reasonable shopper be misled if they didn’t know AI was involved? Obvious fantasy content, like a flying dragon in a background scene, rarely needs a label. Realistic AI content that looks like a real product demo, a real customer, or a real spokesperson almost always does.
Synthetic media is the clearest trigger. If an ad shows a person who doesn’t exist, or alters a real person’s face or voice, most platforms and regulators expect a visible label. Third-party AI tools used outside a platform’s own ecosystem carry the same disclosure duty as the platform’s native AI features, even though the technical steps to flag them differ.
Which Generated or Edited Images and Videos Need a Label?
Any AI-generated creative that shows a realistic person, product demonstration, or scene standing in for something real needs a label. This includes AI-animated product photos, AI-generated backgrounds that change the product’s apparent setting, and video featuring an AI-created spokesperson. Stylized cartoon avatars and obvious special effects generally fall outside this requirement.
Do AI-Written Copy and Minor Edits Count?
Plain AI-written ad copy typically does not need a disclosure label under current platform rules, and routine edits like color correction or background cleanup don’t either. The line shifts once AI-generated text is used to support a specific, testable product claim, such as a performance comparison, where the underlying claim still needs to be accurate regardless of the disclosure.
Who Is Responsible When an Agency or Third-Party Tool Makes the Creative?
The advertiser running the campaign carries the compliance obligation, even when an agency or outside tool produced the asset. Contracts with agencies and freelance creators should spell out who flags AI use in the ad platform and who keeps records of how each asset was made, since the advertiser’s account is what gets flagged for a missing disclosure.
How Do You Apply and Check an AI Disclosure?
Applying a disclosure means identifying how each creative asset was made, then using the platform’s disclosure control before publishing. Google Ads, Performance Max, and Demand Gen campaigns all route through the same underlying “Ads AI label” setting, whether the asset was built with Google’s own generative tools or an outside AI program.
Identify How Each Creative Asset Was Made
Start by tagging every image, video, and voice clip in a campaign with how it was produced: fully AI-generated, AI-edited from a real photo, or untouched. This matters most for teams running multiple campaigns across Performance Max, Demand Gen, and standard Google Ads, where dozens of assets rotate through at once and it’s easy to lose track of which ones came from a third-party AI tool.
Use the Disclosure Control for Externally Created Assets
Google auto-labels assets built with its own generative AI features, but anything made with outside tools needs a manual flag. In Google Ads or Ads Editor, this control sits in the ad settings for the asset, where you mark it as AI-generated or AI-edited. The same manual step applies in Display & Video 360 and Campaign Manager 360 for programmatic buys, and in Merchant Center for product-feed imagery that’s been AI-enhanced.
Check Automatic Labels and Preview the Published Ad
Preview the published ad to confirm the disclosure appears where it should before spending budget against it. A quick check in Ads Editor or the live ad preview catches mismatches, like an asset tagged incorrectly or a label that didn’t carry over after an edit. Catching this before launch avoids a disapproval notice later in the campaign.
Where Will Shoppers See the Label?
Shoppers mostly see AI disclosure through an information panel rather than a label stamped across the ad itself. Google’s “How This Ad Was Made” panel, reachable from the three-dot menu or info icon on ads across Search, YouTube, and Discover, tells people whether generative AI played a part in creating or editing what they’re looking at.
How Do “How This Ad Was Made” and My Ad Center Work?
The “How This Ad Was Made” section lives inside My Ad Center and shows up when someone taps the info icon on an ad. It states plainly whether AI was used to create or alter the ad, pulling from either Google’s automatic labels or the advertiser’s manual disclosure.
When Might a Label Appear Directly on an Ad?
A visible label can appear directly on the ad face itself in certain regions, either automatically or because the advertiser applied the disclosure control. This happens most often where local rules require an on-ad marker rather than a panel buried behind a menu click, so the shopper sees the AI transparency label without having to dig for it.
How Do Regional Rules Affect Disclosure?
Regional law shapes whether a label needs to sit on the ad itself or can live inside an info panel. The EU AI Act requires visible disclosure for realistic AI content and deepfakes as of August 2026, and New York requires disclosure for ads using a synthetic performer meant to look like a real person. Brands advertising into these markets should plan for an on-ad label, not just a panel disclosure, even if their home market only requires the latter.
Why Does Disclosure Matter for Ecommerce Brands?
Clear AI disclosure protects shopper trust and keeps ad accounts out of enforcement trouble. Ecommerce brands run high ad volume and frequent creative refreshes, which raises the odds that an untagged AI asset slips into a live campaign and triggers a policy flag.
Protect Shopper Trust Without Giving Up Creative Quality
Shoppers who learn after the fact that a “real” product demo was AI-generated tend to question everything else the brand tells them. Labeling the asset upfront heads off that reaction, and it doesn’t require dialing back production quality. The IAB’s industry framework found that most consumers want disclosure for fully AI-generated ads or AI imagery, and younger shoppers in particular said clear disclosure wouldn’t hurt their likelihood to buy.
Reduce Policy and Ad Disapproval Risk
An undisclosed AI asset can trigger ad disapproval or account-level review under Google Ads policy. For a brand running dozens of active campaigns, one missed label on a batch of product images can pull multiple ads out of rotation at once, which costs more in lost impressions than the thirty seconds it takes to flag the asset correctly the first time.
Keep Product Claims and AI-Enhanced Visuals Accurate
A disclosure label doesn’t excuse a misleading image. If an AI-enhanced visual makes a product look like it performs better than it does, labeling it as AI-generated doesn’t fix the underlying problem, since regulators and ad platforms look at both the claim and the disclosure. Brands using AI to touch up product photography should hold those visuals to the same accuracy standard as a real photo shoot. Our crafting amazon listings convert shoppers into buyers guidance covers how listing imagery and claims need to line up with real product performance.
Build Disclosure Into the Creative-to-Campaign Workflow
Disclosure works best as a built-in step in creative production, not a last-minute checkbox before launch. Teams that record how each asset was made from the start spend far less time untangling compliance questions when a campaign scales across platforms.
Record Asset Origins, Edits, and Approvals
Keep a simple log for every creative asset: what tool made it, whether a human edited it after generation, and who approved it for use. Content credentials and similar provenance tools can embed this information directly into the file, which helps when the same asset gets reused across Amazon, Google, and social campaigns months later.
Coordinate Amazon Creative and Multi-Platform Media Teams
Brands running Amazon listings alongside Google, Facebook, TikTok, and Pinterest campaigns need one shared standard for tagging AI-generated ad creative, since an asset built for one channel often gets repurposed for another. Our team works across these channels for clients, and the brands with the fewest compliance headaches are the ones where creative, PPC, and listing teams use the same tagging process from day one. Our paid advertising platforms overview covers how we coordinate creative across these channels.
Use Human Review to Improve Creative and Conversion Performance
AI speeds up production, but a human reviewer still catches issues a generation tool misses, like a claim that oversells a product or a disclosure that didn’t carry over after an edit. Pairing AI output with experienced creative direction keeps both compliance and conversion quality intact. Our review analysis ai tools support this kind of human-in-the-loop review by surfacing where listing and ad claims need a second look.
Make Transparent Creative Part of Sustainable Growth
Disclosure rules for AI-generated ads will keep tightening as platforms and regulators catch up with the technology. Brands that build labeling into their creative workflow now, rather than treating it as an afterthought, avoid the scramble that comes with a sudden policy change or a disapproved campaign. The core test stays simple: if a shopper would be misled without knowing AI was involved, disclose it, and keep every product claim grounded in what the product actually does.
Signalytics approaches AI-generated ad creative the same way we approach PPC and listing optimization, with human oversight guiding every AI-assisted asset before it reaches a shopper. Our in-house AI creative studio pairs AI video, 3D product design, and social content with experienced creative direction, so disclosure stays accurate and the creative still performs. See our AI creative services → [STUDIO_URL]
Frequently Asked Questions
Do commercials have to disclose AI-generated content?
Commercials that use realistic AI-generated people, voices, or scenes generally need a disclosure, especially where state law applies, such as New York’s rule on synthetic performers. Commercials with obviously fantastical AI content, like animated characters, typically don’t need a label.
Do I need to label ads made with Google’s AI tools?
Google automatically adds a disclosure to the ad’s My Ad Center panel when you use Google’s own generative AI advertising tools. You still need to manually flag any assets built with third-party AI tools using the disclosure control in Google Ads or Ads Editor.
Does an AI-edited product image need a disclosure?
An AI-edited image needs a disclosure if the edit substantially changes what the image shows, such as altering the product’s apparent setting or performance. Routine touch-ups like color correction or background cleanup generally fall outside this requirement.
Can an undisclosed AI-generated ad be disapproved?
Yes, Google Ads policy allows for ad disapproval or account review when AI-generated or AI-edited content isn’t properly disclosed. Checking the disclosure setting before publishing an ad helps avoid this kind of interruption to a live campaign.
Why is it important to disclose AI use in advertising?
Disclosure keeps shoppers from feeling misled when they later learn an image, video, or voice in an ad was AI-generated. It also keeps brands aligned with platform policy and regional law, which reduces the chance of a disapproved ad or a flagged account.