Google Ads AI labels give advertisers a way to disclose image and video assets that were created or meaningfully edited with artificial intelligence. Google began rolling out the setting across its advertising products in July 2026 as AI transparency requirements expanded in several jurisdictions.
The setting helps communicate how creative was made, but it is not a complete compliance solution. Advertisers remain responsible for reviewing the asset, choosing the correct designation, following platform policy and obtaining legal guidance where required.
What Google announced
Google’s AI transparency announcement explains that people can see information about generative AI use in a “How this ad was made” section within My Ad Center. The company also adds machine-readable provenance to content produced by its own generative advertising tools.
The label setting is available across Google Ads, Display & Video 360, Campaign Manager 360, Merchant Center and Ads Editor. Availability and interface details may continue to roll out, so account owners should verify the current controls in their own product.
How the disclosure appears
Google’s official AI label instructions say designated assets can receive a disclosure in the My Ad Center panel. Users can reach it through the three-dot menu on ads across Search, YouTube and Discover.
For campaigns targeting the European Union, India and New York, assets designated as AI-created or edited may also receive visible overlays on the advertisement. Google notes that it may apply labels automatically when required or when signals from other platforms indicate AI involvement.
AI label responsibilities at a glance
Situation
Likely action
Important check
Asset made with Google AI
Review any automatic designation
Accuracy, policy and placement
Third-party AI asset
Choose the appropriate AI label setting
How the asset was created or edited
Minor conventional edit
Document the workflow and assess requirements
Whether the edit is materially AI-generated
Regulated location
Confirm platform and legal disclosure duties
Targeting, format and local rules
Fully automated creative
Check labels applied on the advertiser’s behalf
Label cannot always be overwritten
Audit every creative source
Build an asset register before editing campaigns. Record the filename, source, creation tool, original owner, licences, edits, approval status, markets and campaigns using the asset. Include images, videos and variations generated from product feeds or automated campaign features.
Ask creators and agencies to disclose their production workflow rather than relying on appearance. A realistic image may be synthetic, while an unusual composition may be conventional photography. Store source files and prompts where appropriate so the reviewer can understand what changed.
When AI helps produce advertising copy or variations, human review is still necessary. Kayaar’s Google Ads Ask Advisor review workflow provides a practical structure for checking AI-generated recommendations before applying them.
Decide whether to apply the label
Use the product’s current definition and instructions, then consider applicable law and contract requirements. Do not remove or avoid a label merely because it may affect creative appearance. Google states that using the setting does not guarantee compliance with specific regulations.
If the account receives a “Review assets” callout, inspect each item and choose whether it was created or edited with AI. Existing images can also be reviewed through the Asset library and its AI label field. Ads Editor supports bulk changes when many assets share the same documented status.
Escalate uncertain cases instead of guessing. A written decision log should identify the reviewer, evidence, applicable market and reason for the designation. Revisit the decision when an asset is materially edited or reused in a different jurisdiction.
Understand automatic labels and provenance
Google may apply labels when its automated features create and serve an asset, when the company has a legal obligation, or when other platform signals indicate AI use. In those situations, the designation may not be editable.
Assets produced with Google’s generative advertising tools can include SynthID, an imperceptible digital watermark, and C2PA open-standard metadata. These mechanisms support identification and provenance, but advertisers should not treat them as a substitute for internal records or required visible disclosures.
AI Max and other automated campaign features can combine landing-page information and account assets. Kayaar’s Google Ads AI Max upgrade checklist explains why advertisers should review generated text, final URLs and matching controls alongside creative governance.
Protect accuracy and brand integrity
Every generated or edited asset remains subject to Google Ads policy. Check products, people, locations, prices, claims and visual context. Reject outputs that invent features, imitate a third party, use an unauthorised likeness or create a misleading before-and-after result.
Compare each variation with the approved brand system. Confirm typography, colours, product proportions and legal copy. Keep a human approver accountable for the final version, particularly in sensitive categories. Kayaar’s AI digital marketing evaluation guide explains how to assess automation without surrendering expert judgement.
Check rendering across placements
Preview image and video assets in the available aspect ratios. A self-applied disclosure near a corner may be cropped by responsive placement or creative enhancement. Google advises advertisers to avoid placing their own labels at the extreme edges and to consider disabling enhancements that could remove them.
Test the three-dot My Ad Center route on representative live ads where possible. For markets that require an on-ad overlay, confirm readability without covering the product or mandatory copy. Save screenshots and campaign details as evidence of the review.
Connect labels with measurement
Do not assume a disclosure will automatically improve or reduce performance. Define a responsible test that preserves legal requirements and compares creative quality, not compliance versus non-compliance. Review engagement, conversion quality, complaints and brand feedback.
Keep disclosure changes in the reporting timeline so analysts can interpret performance shifts. Kayaar’s Google Ads measurement stack guide explains how attribution, incrementality and broader modelling support different decisions.
A practical advertiser workflow
Inventory every image and video asset with its creation source.
Confirm target markets and relevant disclosure requirements.
Apply or review the Google Ads AI label designation.
Verify claims, rights, brand standards and placement rendering.
Record approval evidence and monitor future edits or reuse.
Google Ads AI labels add useful transparency, but the strongest process begins before upload. Document how assets were made, apply the correct setting, review automated designations and keep accountable human approval. For help building a practical advertising governance process, contact Kayaar.
FAQs
What are Google Ads AI labels?
They are settings and disclosures that communicate when designated advertising assets were created or meaningfully edited using artificial intelligence.
Where can people see the AI disclosure?
The disclosure can appear in the “How this ad was made” area of My Ad Center, with visible overlays also used in certain targeted jurisdictions.
Does Google label its own generated advertising assets?
Google may label assets created or served through its automated tools and embeds machine-readable provenance such as SynthID and C2PA in generated content.
Does using the AI label guarantee legal compliance?
No. Google says the setting does not guarantee compliance with specific regulations. Advertisers remain responsible for applicable legal and policy requirements.
Can advertisers add their own AI disclosure?
Yes, but they should keep it away from crop-prone edges, review enhancement settings and ensure the label remains readable across placements.
