Intercepta AI was purpose built to validate marketing content at the speed it is now produced.
AI inference costs have fallen by more than 99% in two years (Stanford HAI, 2025 AI Index Report). Marketing teams are producing more content than ever with the same headcount. The output spans ad copy, blog posts, social media posts, email campaigns, landing pages, video scripts.
The content looks professional. It is often not compliant. AI generation tools are not built to validate against your industry's regulations, your required disclaimers, or the claims your legal team has explicitly forbidden.
The result is a flood of well-written content that quietly violates the regulatory rules and platform policies at a speed no human review process can match.
Unsubstantiated claims — LLMs generate statistics, percentages and benchmarks without verification. Performance claims, satisfaction figures and outcome data read as factual, but they have no source. These are the claims the FTC pursues.
Fabricated endorsements — AI content frequently generates quotes, testimonials, and affiliations that do not exist. The FTC Endorsement Guides require all testimonials to be from real, identifiable people with disclosed material connections.
Missing disclosures — AI tools are not built to include industry-specific disclaimer language. FINRA Rule 2210, FDA fair-balance, and CFPB UDAAP all require disclosures that LLMs systematically omit.
Over-promising language — Guaranteed. Risk-free. Best-in-class. LLMs default to superlatives. Regulators restrict them. Many of these terms are explicitly prohibited in financial, health, and insurance marketing.
Most legacy compliance tools were built around human review cycles: assets queued, manually reviewed, returned with comments, edited, re-queued. That model breaks the moment a marketing team uses an LLM.
Intercepta AI was built for the AI workflow. Every piece of generated content is validated in seconds against 800+ regulatory rules. Issues that LLMs systematically produce (fabricated stats, missing disclosures, over-promising language) are explicitly encoded in our rule engine.
Do not let AI publish your next regulatory fine. Scan AI content.