Use this AI video disclosure checklist for brand posts to decide what viewers need to know, where to say it, and what to retain for approval.
Sep 17, 2026

AI Video Disclosure Checklist for Brand Posts

An AI video disclosure checklist for brand posts starts with a practical question: could a reasonable viewer mistake this synthetic or significantly AI-edited clip for an unaltered recording? If yes, give viewers clear context where they will see it, use the destination platform's current disclosure tools where applicable, and retain the approval record. A caption alone is not a universal answer; the right treatment depends on what changed, who or what appears, the claim being made, and where the post will run.

Published September 18, 2026 · about 8 min read

This checklist is for the publishing moment

This guide deliberately starts after the generation decision. The earlier question—whether you can use the source images, product assets, likenesses, and tool under the intended terms—belongs in the AI video commercial-use guide. Here, the clip is already selected and the brand team needs to decide how to publish it with useful context.

This is operational guidance, not legal advice. Platform rules, advertising standards, and local requirements can change, and a regulated, political, health, financial, or high-risk claim needs appropriate review beyond this checklist.

The five checks before a brand post goes live

1. Describe what the viewer is looking at

Write a plain internal sentence before writing the public disclosure. For example: “This is a product concept video generated from approved stills,” or “This is a real product photograph with AI-generated motion and background.”

That sentence prevents vague labels from hiding a meaningful difference. Do not call a synthetic customer testimonial, real-world event, or product demonstration “creative editing” if that wording could leave a viewer with the wrong impression.

2. Decide whether the realism raises the need for context

The more a clip resembles an ordinary recording of a real person, event, place, or product outcome, the more visible and specific the context should be. Treat these as higher-care cases:

  • A recognizable person appears to speak, endorse, dance, or use a product.
  • A real location or event appears to have happened when it did not.
  • A generated result could be taken as proof of performance, safety, availability, before-and-after results, or a customer experience.
  • AI changes a principal subject beyond minor correction, including a face, voice, or action.

Creative stylization does not remove the need for care. It may lower the chance of confusion, but the final decision should consider the audience and the specific claim alongside the visual style.

3. Put the explanation where people encounter the claim

Choose a placement a normal viewer can actually find. Depending on the channel and post, that may be a platform AI-content label, a short on-video line, the caption, the description, or more than one of those places. Do not bury an important qualification behind a profile link, an unrelated comment, or a long list of hashtags.

For an ordinary branded concept video, concise wording can be enough:

AI-generated concept video. Product details and availability are confirmed separately.

For a materially edited real image, say what changed without pretending the original was filmed that way:

AI-generated motion was added to an approved product still; product specifications are shown in the caption.

Use the actual product name, offer, or approval language your team has verified. A label should add context, not be used to smuggle in a claim that has not been substantiated.

4. Check the current platform workflow

Platforms can have their own settings and limits. For example, TikTok's current help guidance says creators can disclose AI-generated content through text, a hashtag sticker, or post-description context, and it requires labels for realistic AI-generated content under its guidelines. It also says Content Credentials may trigger an automatic AI label. Read the current TikTok AI-content guidance before relying on a setting, and perform the same current-policy check for every other destination.

If a platform offers a creator disclosure control, use it when it fits the post. Then make a preview or test post if the label placement is important. A setting can change, be unavailable in a region, or render differently across formats.

5. Keep a compact approval record

Save the final file, the post copy, the destination, the approver, and a note explaining the disclosure choice. Keep it with the campaign record rather than relying on a chat thread. This is not bureaucracy for its own sake: it lets the team answer a customer, editor, or colleague without reconstructing why the clip was framed that way.

A tablet displaying a generic product scene sits beside three simple approval and audience-context markers connected in a review path.

The publication decision is easier to explain when the final asset, its context, and its approval live together.

A one-page handoff for the person who posts

Use this short record for each final asset:

Field What to record
Asset and version Final exported filename or approved link
What is synthetic or edited Plain-language description of the material change
Viewer context The exact on-video, caption, or description wording
Platform action Label setting used, or why none was available or appropriate
Claims check Owner of product, price, outcome, or endorsement claims
Approval Name or role, date, and final destination

Keep the approved caption with the export. That reduces the risk that a video is reposted with a shortened caption that removes the context the reviewer considered necessary.

Provenance can help, but it is not a substitute for explanation

Content Credentials are a technical provenance record that can show information about a file's origin and editing history. The Content Credentials project describes the record as a way to surface content history; it is not a promise that every viewer will see it, understand it, or receive it after every edit and upload.

Use provenance where your workflow supports it, but do not make a vague claim such as “verified” unless you can explain exactly what was verified. An explicit viewer-facing disclosure still matters when a realistic clip could mislead without context.

What this checklist does not solve

Disclosure is one part of responsible publishing. It does not create permission to use a person's likeness, clear a music track, prove an advertising claim, make a false event acceptable, or override a platform rule. It also cannot repair a video whose product label, feature, or depiction is wrong.

Before final approval, watch the complete export and check it against the approved source material. If a generated product demonstration looks like evidence of a real outcome, either replace it with substantiated material or clearly reframe it as a concept. If the content could harmfully mislead or impersonate someone, do not assume a label makes it acceptable.

FAQ

Do all AI brand videos need the same disclosure?

No. The right approach depends on the platform, how realistic the video is, what materially changed, and what a viewer could reasonably infer. Start with a plain description of the change, then check the current rules for the publishing destination.

Is “made with AI” enough for a brand post?

Sometimes it may be useful context, but it can be too vague for a realistic or materially altered scene. Add enough information to avoid a misleading impression—for example, that motion was generated from a still or that a scene is a concept rather than a recorded result.

Can a platform's automatic AI label replace the caption?

Do not assume so. An automatic label may help, but it does not validate a product claim or tell viewers every relevant fact. Confirm the platform's current guidance and keep the needed context with the claim itself.

Should a brand retain a record of the disclosure decision?

Yes. Keep the final export, exact post copy, destination, policy or settings check, and approval note together. It makes the decision reviewable if the asset is repurposed or questioned later.

The best disclosure is neither a hidden footnote nor a substitute for careful review. It is a short, accurate piece of context that reaches the audience when they encounter the post—and a record that lets the team stand behind that choice.

AI Video Disclosure Checklist for Brand Posts