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FTC Compliance & AI Content Standards

AI-powered marketing that stays on the right side of the FTC.

The FTC Act prohibits unfair or deceptive practices in commerce. InWork Global builds that standard into every AI marketing and content system — labeling AI-generated content where required, disclosing material connections in endorsements, and building fact-checking layers into content pipelines.

FTC Act alignedAI content labeledEndorsement disclosureFact-checked pipelines
FTC compliance and AI content standards

FTC Act

Unfair or deceptive practices are the line.

The FTC Act prohibits unfair or deceptive acts or practices in commerce. For AI-powered marketing and content systems, that has direct architectural consequences — it shapes how content is generated, how it's labeled, and what claims it's allowed to make.

InWork designs for the FTC Act from the start: AI-generated content that is not clearly distinguishable as AI is disclosed, we label AI-generated advertising creative and editorial content where required, and we build fact-checking layers into content pipelines so AI outputs do not make false claims.

What FTC compliance means in practice

Four areas the FTC scrutinizes.

Each maps to a design decision we make inside AI content and lead-generation systems.

AI-generated content

AI-generated content that is not clearly distinguishable as AI must be disclosed. InWork labels AI-generated advertising creative and editorial content where required, with fact-checking layers built into content pipelines to prevent false claims.

Endorsements & testimonials

Under the 2023 FTC update, material connections between endorsers and brands must be disclosed. Fake reviews are prohibited — InWork review generation programs rely on genuine customer outreach, not fabricated reviews, and AI-generated testimonials require disclosure.

Lead generation

Lead magnets and offers must be accurate, price claims must be accurate and current, before/after claims require substantiation, and TCPA consent language in forms must accurately describe how data is used.

AI underwriting & risk scoring

AI decision systems that affect credit-adjacent decisions (ECOA adjacent) must be explainable, with adverse action notices where required and no use of protected-class proxies in risk scoring.

AI content standards

How we keep AI outputs honest.

AI-generated advertising creative and editorial content labeled where required
Fact-checking layers built into content pipelines
No false claims in AI-generated content
Material connections between endorsers and brands disclosed
Review generation based on genuine customer outreach — never fabricated reviews
TCPA consent language in forms that accurately describes data use

Endorsements & lead generation

Claims that need substantiation.

The 2023 FTC endorsement update and lead-generation rules drive these requirements.

Claim typeDeceptive shortcutInWork-compliant approach
Customer reviewsFabricated or incentivized reviewsGenuine customer outreach, disclosed connections
AI testimonialsSynthetic praise presented as realAI-generated testimonials disclosed where used
Price & offer claimsStale or inflated pricingAccurate, current price and offer claims
Before/after claimsUnsupported performance claimsBefore/after claims require substantiation

Compliant by design

AI and marketing built to the FTC Act

InWork builds FTC compliance into AI and marketing systems at the architecture level — disclosure, fact-checking, and accurate claims — rather than reviewing for it after content ships.

Compliance by design

Scale AI content without the FTC risk.

Labeled AI content, disclosed endorsements, and fact-checked pipelines, with US oversight on every engagement. Tell us about your marketing program.

Integrity. Urgency. Ownership.

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