Affiliate Compliance Monitoring Framework

We evaluate all material claims present in affiliate-driven advertising — including headlines, body copy, voiceover, on-screen text, and testimonial content. Claims are assessed against published regulatory guidance, platform policies, and category-specific standards.

• Health, efficacy, and outcome claims
• Financial return and earnings representations
• Comparative and superlative claims ("best," "#1," "only")
• Social proof and statistic citations
• Before/after representations
• Urgency and scarcity language

We assess whether endorsements, testimonials, and expert attributions are presented in compliance with disclosure requirements and authenticity standards. Special attention is given to AI-generated likenesses and unauthorized use of public figures.

• Celebrity likeness usage and authorization
• Expert credentials and qualification claims
• AI-synthesized or deepfake endorsement content
• Disclosure compliance for paid or incentivized testimonials
• Voice cloning and audio impersonation signals

We map the full customer journey from ad impression through checkout, capturing the complete sequence of pages, offers, and commitment mechanisms. Funnel review identifies patterns that create consumer confusion or increase dispute likelihood.

• Landing page consistency with ad claims
• Upsell flow structure and opt-out clarity
• Subscription and recurring billing disclosures
• Negative option and pre-checked box patterns
• Countdown timers and manufactured scarcity
• Exit-intent and dark pattern mechanisms

We compare prices communicated in advertising materials against actual checkout prices, terms, and recurring billing structures. Pricing confusion is one of the highest-correlated risk signals for chargeback elevation.

• Advertised vs. checkout price alignment
• Discount and "original price" claim validity
• Hidden fees and shipping cost disclosure
• Trial-to-paid conversion terms
• Bundle and "free" offer structure

We analyze post-purchase communication, cancellation flows, and support accessibility — elements that directly influence whether a dissatisfied customer files a refund or escalates to a chargeback.

• Cancellation and refund process clarity
• Support access and response standards
• Post-purchase communication tone and accuracy
• Review and complaint signal aggregation
• Consumer-facing terms clarity and accessibility

All findings are compiled into structured evidence packages designed for actionability — not just documentation. Each package is organized for direct use by legal, compliance, and platform teams.

• Time-stamped screenshots and screen recordings
• Full URL chains and redirect maps
• Severity scoring with rationale
• Policy citation and regulatory reference
• Affiliate / publisher attribution where available
• Executive summary and recommended corrective actions
• Platform-ready documentation formatting