AI content disclosure template for marketing teams

Why marketing teams need a disclosure template

Marketing teams are often the heaviest users of generative AI — writing copy, creating images, producing video. Under Article 50, certain AI-generated content published to the public must be identifiable. A disclosure template ensures consistency across channels.

What needs disclosure

• AI-generated text published on matters of public interest (unless human editorial review applies)
• Synthetic images, audio, and video — providers have machine-readable marking duties; deployers have visible disclosure duties for deepfakes and certain other scoped uses
• Deepfakes — must be disclosed as artificially generated
• AI chatbots used in marketing or customer service — must inform users they are interacting with AI

Disclosure wording by channel

Social media posts (AI-generated image)

"AI-generated image"

Place in the caption or as a visible watermark on the image.

Blog posts (AI-assisted writing on public interest topics)

"This article was produced with the assistance of artificial intelligence. A human editor reviewed and approved the final content."

Place at the top or bottom of the article.

Email marketing (AI-generated copy)

No specific Article 50 requirement for marketing email — but as best practice:

"This content was generated with AI assistance and reviewed by our team."

Place in the email footer.

Video content (AI-generated or deepfake)

"This video contains AI-generated content."

Place at the start of the video and in the description.

Ad creatives (AI-generated visuals)

"AI-generated visual"

Place in a corner of the creative or in the ad description.

Scope notes

• AI-generated text outside the scoped public-interest publication duty is not caught by that specific deployer text rule
• Internal documents and drafts are not "published" merely because they exist
• The human editorial control and responsibility exception is specific to the public-interest text duty

Workflow for marketing teams

1. Audit: Map the AI-generated or manipulated media and public-interest text you publish
2. Decide: Determine which content needs a label
3. Apply: Use the appropriate wording from this template
4. Log: Record what was labeled, when, and by whom
5. Review: Check periodically that labels are being applied consistently

The full labeling library

The Labeling Kit (€99) includes 30+ label variants by medium and context, a decision tree, workflow checklist, and a labeling record log.