AI advertising disclosure — labels, assets and evidence

Direct answer

AI advertising disclosure is assessed per asset and publishing channel. Identify every generated or materially altered component, check the destination platform's current label control, review applicable legal and client rules, then keep evidence of the decision. An AI label does not validate the advertising claim itself.

Applies when

Realistic generated campaign assets.
Synthetic presenters, voices or testimonials.
Platform or client labeling requirements.

Doesn't apply when

AI use limited to internal ideation with no generated material in the published asset.

Worked decision

Example

Fully synthetic video ad

Disclosure required

The published asset contains realistic generated image, voice and scenes.

Next steps

Required action

Assess each asset before trafficking.
Apply the native platform label where required.
Archive wording, sources, reviewer and final creative.

Publishing layer

Platform differences

Law, platform and client layers

Platform disclosure controls and legal duties are separate layers. Check the destination platform, the content itself and the applicable jurisdiction, then retain evidence of the decision.

Evidence

Source

Regulation (EU) 2024/1689 (Artificial Intelligence Act)European Union · effective from 2024-08-01 · last checked 2026-09-12
Labeling AI Content — Meta Transparency CenterMeta · last checked 2026-09-10
About AI-generated content — TikTok SupportTikTok · effective from 2024-05-01 · last checked 2026-09-23
Disclosing altered or synthetic content — YouTube HelpYouTube · effective from 2024-03-18 · last checked 2026-09-23

Freshness and accountability

Last verified

Applies from 2026-08-02 · Last reviewed 2026-09-12 · Current

Run this exact scenario

Relevant content, AI-use and platform inputs are preselected. Confirm the remaining facts before relying on the result.

Open prefilled checker

Who is affected

Paid social and performance teams.
Creative and media agencies.
Brand and legal reviewers.

More scenarios

Scenario	Outcome	Why
AI-assisted copy with human-owned final edit	No disclosure identified	No tracked public label is identified, but internal provenance should remain.
Synthetic customer testimonial	Human review required	A label does not resolve the deception and advertising-claim risk.

Practical marketing examples

Paid social creative with an AI-generated model.
Product video with synthetic narration and a real packshot.

Disclara separates binding law, platform policy, client policy, technical provenance and recommended wording. Information on this page is not legal advice. See editorial policy.