Decide AI-video disclosure from what the final video depicts and how it was made. An AI-written outline over a real app recording presents a different question from a synthetic person appearing to recommend the app or an invented scene presented as a customer event.
Record those production choices before upload. A reviewer who sees only the final MP4 may not know which voice, face or background was generated. Guessing at the publishing screen is a weak way to make a consequential disclosure decision.
This guide describes a production review method, not legal advice or a guarantee of platform approval. Consult the destination's current rules for the actual media and use, especially for paid campaigns, regulated subjects or realistic depictions of people.
Start with a production-method record
For every video, identify the origin of the recording, script, voice and visual assets. Separate material you recorded from material generated, meaningfully altered or licensed from someone else.
The record need not be elaborate. It should answer whether a person really said the words, whether the event occurred, whether the screen demonstrates an implemented feature and whether realistic imagery is illustrative. Keep permission and provenance evidence with the asset.
Avoid a single yes/no field called AI used. It hides the distinction the reviewer needs. An AI spelling correction and a fabricated customer interview should not arrive with the same unexplained label in the production notes.
Compare three business-video examples
The following are hypothetical production scenarios, not descriptions of actual customers.
| Scenario | Question for the reviewer |
|---|---|
| Real app recording with AI-assisted copy | Does the text accurately explain real behavior, and what does this platform require for this production assistance? |
| Realistic synthetic presenter | Could viewers think this is a real person making the statement, and what disclosure and consent rules apply? |
| Invented customer-success scene | Does the scene imply a real event or endorsement that never happened? |
In the third example, adding an AI label does not turn an invented testimonial into customer evidence. The underlying message may need to change. Use a clearly identified illustration, or show actual permissioned material that supports the claim.
Likewise, a realistic generated dashboard should not stand in for footage of your app. If the screen is conceptual, say so and avoid suggesting that a feature exists merely because it can be pictured.
Read the destination's own distinctions
YouTube's current guidance requires disclosure for realistic generated or meaningfully altered content, with examples involving real people, events and invented realistic scenes. It separately lists ordinary production assistance, including help with scripts and captions, among examples that do not require disclosure on that basis alone. Review the full guidance for the actual output rather than applying a blanket rule to every AI-assisted task.
Meta explains that its AI-information labels can reflect detected industry signals or a creator's disclosure. Its treatment distinguishes generated content from some content only modified with AI. Do not assume a label's exact placement, wording or correction path will stay the same across every account and surface.
Platform policies are not interchangeable. A decision made for one destination should not be copied into another destination's publishing record without checking its own requirements.
Preserve facts and permissions before considering the label
Check the ordinary content questions as well. Does the claim have support? May you use the recording, voice and likeness? Does the demonstration preserve the condition under which the feature works?
A synthetic voice reading your own accepted explanation is different from cloning a customer's voice without permission. A labeled fictional scene is different from an implied endorsement. Disclosure is one part of the review, not a substitute for the underlying rights and accuracy checks.
For the general production gate, use the short-video review checklist. Keep an explicit disclosure decision beside the accepted media so it survives the handoff to whoever schedules the post.
Keep provenance intact through the export
Visible vendor logos, embedded provenance signals and platform disclosure controls serve different purposes. Removing an imposed export mark does not settle the AI-disclosure question. Do not strip provenance or misdescribe how a video was made in an attempt to avoid a platform label.
Conversions between formats can change metadata, so preserve your own production record rather than relying on the final file to explain its whole history. If the platform applies a label automatically, inspect the stated reason and use an official correction process where appropriate. Do not promise that reuploading will remove it.
This matters for repurposed footage too. An excerpt can change meaning if it removes a qualification. The source-based repurposing workflow helps keep the original context attached to the new treatment.
Make the publishing handoff specific
Send the publisher the accepted file, destination, accompanying copy and recorded disclosure decision. If your publishing tool does not expose a required setting, use an appropriate supported publishing path rather than silently omitting the disclosure.
After posting, inspect the actual public item. Check that the media, caption and any disclosure match the intended output. A scheduled entry alone does not prove that a viewer sees the expected context.
Prolifik's Instagram Reels workflow can help produce branded short-form content, but the team still owns factual review, asset permissions and destination-specific disclosure. Finish those decisions before the calendar starts distributing the file.
Create the video with its provenance record
Keep facts, permissions and destination-specific disclosure decisions with the accepted Reel before it reaches the calendar.
Explore the Reels workflowFacts checked 2026-10-24. Worked examples are illustrative unless a real source is identified.
- YouTube: Disclosing use of GenAI content Checked 2026-10-24
- Meta: Approach to labeling AI-generated content Checked 2026-10-24
- Prolifik content creation and publication tools Checked 2026-10-24