Building a Disclosure and Permissions Checklist

Trust is a creator's primary currency, but legal compliance is what protects that currency. In the US, the Federal Trade Commission (FTC) regulates how you disclose relationships with brands. A critical update in the 2024 Consumer Review Rule explicitly bans fake reviews and testimonials. This includes AI-generated testimonials—content where a bot drafts a glowing review or a synthetic person claims to have used a product they never actually touched.

Consider this scenario: You partner with a skincare brand. To save time, you use an AI tool to draft a realistic testimonial about the cream's results, presenting it as a genuine personal experience. Because the testimonial was bot-drafted and not based on actual use, it violates the FTC rule. In December 2025, the FTC warned companies that such violations could lead to penalties of up to $53,088 per violation.

As a creator or brand lead, you must treat every AI-generated claim with extreme caution. Your goal is to ensure that no piece of content ever pretends a generated result is a lived human experience. This is the first line of defense in your disclosure checklist.

Beyond fake reviews, the FTC Endorsement Guides manage how you disclose a "material connection" to a sponsor. A material connection is any relationship—like payment, free products, or a family tie—that might affect the weight or credibility a viewer gives to your endorsement. The core requirement is that disclosures must be "clear and conspicuous." This means they cannot be hidden in a way that requires the viewer to take extra action to find them.

For example, imagine you are filming a hiking guide while wearing a pair of sponsored boots. A common mistake is placing the disclosure as #ad at the very end of a long caption. On most mobile platforms, this is buried behind a "more" tab, making it invisible to the average viewer. To comply with the guides, you must add a checklist item that triggers a visibility check: the disclosure must appear in the first two lines of text or be superimposed on the video itself where it is impossible to miss.

By mapping these triggers to your checklist, you move from guessing to a standardized system. Every time a product appears, you ask: "Is there a material connection?" If yes, the disclosure must be immediate and obvious.

While the FTC focuses on honesty about payments, YouTube's GenAI policy focuses on honesty about reality. YouTube requires you to disclose when you use synthetic or altered media that looks realistic. The goal is to prevent viewers from being misled into thinking a fake event actually happened or that a person said something they didn't. However, not every use of AI requires a label.

To apply this to your checklist, you must distinguish between 'production help' and 'realistic alteration.' For example, if you use an AI assistant to draft your script or organize your talking points, this is production help. It doesn't change the reality of the footage, so it is exempt from the GenAI label. But, if you use AI to realistically alter the background of your shot—perhaps changing a bedroom into a high-tech studio—you have created a realistic but fake visual. This requires a GenAI label.

On your checklist, create a binary trigger for every visual asset. Ask: "Does this AI-altered element look like a real person, place, or event?" If the answer is yes, the label is mandatory. If the AI only helped you write or edit, no label is needed.

A disclosure that works on one platform may be invisible on another. Because different interfaces hide text in different ways, you cannot use a single 'one-size-fits-all' disclosure for every version of your content. To solve this, you need a platform-specific matrix in your checklist that standardizes how disclosures are delivered based on the viewer's experience on each app.

For example, on TikTok, where users scroll rapidly and captions are often obscured by UI elements, a written caption is not enough. You must use burned-in captions—text that is part of the video file itself—to ensure the disclosure is seen instantly. On YouTube, the viewer's behavior is different. You can use a combination of the video description for a formal record and a pinned comment to keep the disclosure at the top of the conversation, ensuring it is the first thing a viewer sees when they scroll down to comment.

Your task is to map every platform you use to a specific, required format. Instead of just checking 'Is it disclosed?', your checklist should ask: 'Is the disclosure burned-in for TikTok?' and 'Is the comment pinned for YouTube?'

When you use AI to adapt long-form content into shorter versions, you face a specific risk called 'qualifier drift.' This happens when an AI assistant, tasked with making a script punchy or fitting a strict time limit, views legal disclosures and qualifiers as 'filler' and removes them to save space. Because the AI does not understand the legal risk of a missing disclosure, it prioritizes brevity over compliance.

Imagine you have a 10-minute YouTube video with a clear 'Paid Partnership' qualifier and a detailed sponsor disclosure in the first minute. You prompt an AI to 'summarize this into a high-energy, 50-second TikTok script.' The AI successfully captures the hooks and the value, but it deletes the sponsorship mention entirely to fit the 50-second window. If you publish that clip without a manual check, you have just posted an undisclosed advertisement.

To prevent this, your checklist must include a 'Consistency Check' for every adaptation. You must verify that every version—regardless of length—retains the same disclosure status as the original. If the original is sponsored, the adaptation must be sponsored.

Your final step is to combine these separate rules into a single Master Checklist. To avoid confusion, you must order the list by the 'severity of risk.' This means checking legal requirements first, as they carry the heaviest penalties, followed by platform policies that could lead to content removal, and finally the specific preferences of your brand partner.

For example, your checklist order would look like this: First, the Legal (FTC) Check: 'Is the material connection disclosed clearly and conspicuously?' Next, the Platform Check: 'Does this realistic AI element have a YouTube GenAI label?' and 'Is the TikTok disclosure burned-in?' Finally, the Brand Check: 'Did I use the specific sponsor-approved phrasing for the call-to-action?'

By structuring the list this way, you ensure that a minor brand preference never pushes a critical legal disclosure off the page. You apply this checklist to every single version of a piece—from the long-form video to the shortest clip—before any file is exported. If a single box remains unchecked, the content stays in draft.