FTC Endorsement Guides · AI-assisted creator content

Your Creator Disclosed The Payment. Nobody Recorded The Second Disclosure.

When your AI tooling writes the brief, the outline or the script, that involvement can call for its own disclosure — separate from, and in addition to, the #ad. The platform's AI label doesn't cover it. Most teams are tracking one layer in a spreadsheet and the other nowhere at all.

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One-time payment · works offline · nothing leaves your browser

$53,088
FTC maximum civil penalty per violation in 2026
— each post counts separately, not in aggregate
2 layers
payment disclosure and AI-involvement disclosure
are assessed and recorded independently
$19
once, for the register and the audit trail
no seats, no subscription, no account

Two questions, not one

The mistake is treating these as the same box. They have different triggers, and an engagement can be clean on one and exposed on the other.

Layer 1

Material connection

Payment, gifted product, commission, an ambassador retainer, an employee posting about their own employer. Was the connection disclosed clearly and conspicuously in the content — not in a contract, not only in the bio, and not only through the platform's partnership tool?

Layer 2

AI involvement

Did the brand supply the prompt or outline? Was AI output used with only light editing? Did the creator independently verify or rewrite the claims? Do the claims go beyond what that creator would credibly say unprompted? Two or more risk factors and the app flags a separate AI-involvement disclosure as indicated.

Sponsored AI-assisted content can need both disclosures, separately. This app keeps them as two independent fields on every record, in the register, in the CSV and in the printed pack — so a clean #ad never quietly stands in for the AI question.

What you get on every engagement

One record per published piece, filled in before or at publication.

1

An engagement register that fits how creators actually work

Creator, handle, platform, brand, campaign, publish date and content type, across paid partnerships, gifted product, affiliate, ambassador, employee posts, equity and contests — with the material-connection default set per engagement type and overridable per record.

2

Placement recorded, not just a tick

Spoken, on-screen, in the caption above the fold, below the fold, bio only, or the platform's partnership tag. The weak placements are recorded as weak rather than counted as a clean disclosure, because that distinction is the whole argument.

3

The audit trail that makes the argument possible

Keep the AI draft against the as-published wording, or at minimum record where the draft lives. If nobody can see what the tool generated versus what the creator changed, there is no materiality argument left to make later.

4

Escalation and a printable pack

Route anything ambiguous to legal with a timestamp and a note, and it stays at the top of the register until it's resolved. Print a dated pack: process statement, summary, the full register and a detail sheet per engagement.

What it looks like

Five engagements from one creator programme. The gaps sort themselves to the top.

Northbank Marketing Ltd — creator disclosure register
as at 1 Aug 2026
3
Undisclosed, incomplete or flagged
5
Engagements on record
2
Payment-disclosure gaps
1
AI-disclosure gaps
CreatorPlatformPublishedLayer 1 · paymentLayer 2 · AIAudit trail
Ravi ChandraPaid partnership · flagged to legal TikTok23 Jul 2026 Disclosed Disclosure missing Retained
Duncan ReyesAffiliate / commission YouTube9 Jul 2026 Not disclosed Disclosed Draft not retained
Mei TanakaGifted product Instagram16 Jul 2026 Platform tag only Below threshold Retained
Priya NandakumarPaid partnership Instagram24 Jun 2026 Disclosed No AI involvement Not applicable
Sable CreativeEmployee posting LinkedIn11 Jun 2026 Disclosed Below threshold Retained
Ravi's #ad was spoken in the first five seconds, so Layer 1 is clean — but the brand supplied the outline, the AI draft was lightly edited, the claims were never independently verified and they went further than he would say unprompted. Four risk factors, no AI disclosure, so Layer 2 is open and the record is with legal. Duncan is the mirror image: he disclosed the AI, and never disclosed the commission.

Every piece of advice published on this says the same thing: build a process that tracks it before a creator hits record. None of them hands you the thing to track it in, so teams end up with a spreadsheet that has one disclosure column and no audit trail. This is that thing, for $19, once.

One file. One payment.

Buy it, open it, start logging. No account, no subscription, no seat count.

FTC AI Creator Disclosure & Material-Connection Log
$19
One-time purchase
Yours to keep. No renewal, no per-seat pricing.
  • Creator engagement register across 12 platforms and 8 engagement types
  • Layer 1: material-connection check with disclosure placement and wording on record
  • Layer 2: four-factor AI-involvement questionnaire, tracked as its own separate field
  • Audit trail holding the AI draft against the as-published wording
  • Route-to-legal flag with an automatic timestamp and a note
  • Dashboard filterable by creator, platform, campaign, status and date range
  • Printable audit pack: statement, summary, register and per-engagement sheets
  • CSV export plus JSON backup, import and merge
  • Installs to your phone or desktop and works fully offline
Buy Now — $19
Instant access after payment. Runs entirely in your browser — no creator names, drafts or notes are ever uploaded.

Before you buy

Doesn't the platform's AI-content label handle this?

No. A platform label tells the audience the media was made or altered with AI. It says nothing about who shaped the claims or who paid for them, and the published guidance is explicit that sponsored AI-assisted content can need both disclosures, separately. The app keeps them apart for exactly that reason.

Does the app decide whether we needed a disclosure?

No, and it says so on every screen and in the printed pack. Two or more risk factors raise a flag so a human looks at it. An engagement under the threshold can still call for a disclosure, and one over it isn't automatically non-compliant. These are factors to weigh, not a verdict.

We already track #ad in a spreadsheet. What's different?

Three things a spreadsheet column doesn't give you: the AI question as its own assessed field rather than a note, disclosure placement graded so a bio-only or platform-tag-only disclosure isn't counted as clean, and the draft-versus-published record that makes a materiality argument possible months later.

Where does the data go?

Nowhere. It's a single HTML file that stores everything in your own browser. You'll be typing in creator names and draft scripts, so that matters. Export a JSON backup or a CSV whenever you want a copy or need to hand the register to someone else.

Is this legal advice?

No. It's a record-keeping and checklist aid. It helps you write down what you did and shows you where the record is thin. What that means for your programme is a question for your own counsel.