AI Content Labels: How to Disclose AI Use in Your Marketing

YouTube Music is introducing three labels on track player pages: Fully Gen AI, Partly Gen AI and No Gen AI. AI-generated songs stay eligible to earn money. The message for marketers is that platforms and audiences are moving towards openness about AI, not away from it.

If you use AI to write captions, create images or produce videos, now is a good time to decide how you will disclose it.

Why disclosure matters

• Trust: people are happy to see AI used well, but feel misled when it is hidden or used to fake real events or real people.
• Platform rules: major platforms have introduced labels and disclosure options, especially for realistic synthetic media. Rules differ and change, so check each platform's current policy.
• Legal and regulatory pressure: several regions, including the EU and India, have been moving towards rules about labelling synthetic or AI-generated content. Check current requirements and take legal advice for paid campaigns.
• Brand protection: an undisclosed fake can become a reputation problem quickly.

What usually needs a label

A practical rule is to disclose when AI-made content could be mistaken for something real:

• Realistic images or video of people, places or events that did not happen
• Cloned or synthetic voices
• Edited footage that changes what someone said or did
• AI-generated product images that could mislead about the real product
• Anything resembling a testimonial, review or news report

Light uses, such as spell-checking, brainstorming headlines or removing a background, usually need no special label, though a short note in your policy is good practice.

A simple three-level policy

Many teams find a three-level approach easy to follow:

1. Human-made: created without generative AI.
2. AI-assisted: a person created it and used AI for parts, such as drafting, editing or ideas.
3. AI-generated: the main content was produced by AI with limited human input.

Use platform tools to label where required, and add plain wording in captions when it helps, for example "Image created with AI".

Rules to keep in your marketing

• Never fake testimonials, customer photos or reviews with AI.
• Do not use a real person's face or voice without clear consent.
• Check facts and claims, because AI can sound confident and be wrong.
• Keep a record: save the tool used, the prompt and the original files for important assets.
• Review for bias and offence before publishing.
• Respect copyright and tool terms, especially for commercial campaigns.
• Label consistently across Instagram, YouTube, LinkedIn and your website.

What about search and AI answers?

Clear authorship, accurate facts and sources help both people and search systems trust your content. Labels do not replace quality, so keep a human reviewer in the loop.

Turn it into a checklist

Before posting, ask: Could someone think this is real? Did we get consent? Is the claim true? Is the label visible where the platform requires it? Is it saved in our records?

KalzTech's marketing team uses AI to move faster while keeping humans in charge of quality and honesty. If you would like help writing an AI-use policy and content workflow, contact us.