FTC disclosure scanner

FTC website disclosure signals from public page evidence

CertScore scans public websites for FTC-relevant review signals, including visible disclosures, advertising and claim surfaces, reviews and testimonials, subscription-friction indicators, privacy-policy claims, and gaps between public statements and observed runtime behavior.

Disclosure reviewClaims + reviewsDark-pattern signals

CertScore findings are automated public-web observations for review, not legal advice, certification, or a compliance determination.

Production example, sanitized

Disclosure evidence card

domainwww.betterment.com
scan_idda63668a-1474-4d13-ac60-fbb87e38b32b
scanned_at2026-04-01T01:25:25.753Z
finding_idaffiliate_disclosure_scope_limited
finding_labelAffiliate disclosure scope limited
confidencelimited
directnessinferred
surface_textSpecial Offer: Welcome to Betterment
runtime_contextpreconsent_tracking_detected=true; banner_present=false
review_scopeoffer, disclosure, and material-connection review

Direct answer

Evidence-based FTC review signals for public websites. Review disclosure visibility, endorsement and review surfaces, subscription-friction signals, privacy claims, tracking behavior, and policy/runtime gaps. Automated observations for review, not legal advice.

Review signals

What CertScore can surface for review

Disclosure visibility

CertScore can surface disclosure-oriented links, policy pages, promotional language, and page regions where consumer-facing notices may be missing or difficult to find.

Reviews, testimonials, and claims

Public copy and page structure can be reviewed for testimonial, endorsement, affiliate, ranking, comparison, and promotional-claim surfaces that need human context.

Runtime privacy behavior

Tracker, cookie, form, and vendor observations can help reviewers compare privacy statements with the behavior visible in a clean browser session.
Regulatory context

Context for human review

Endorsements, influencers, and reviews

FTC materials are useful context when reviewing testimonial, review, affiliate, influencer, and material-connection disclosure surfaces.

Online advertising disclosures

Digital advertising review often turns on whether disclosures are visible, proximate, understandable, and consistent with the surrounding claim or offer.

Dark-pattern and friction review

Subscription, cancellation, consent, checkout, scarcity, countdown, and forced-choice surfaces can deserve manual review when public-page evidence suggests avoidable consumer friction.

Privacy claims and runtime behavior

Public privacy claims can be compared with runtime tracker, cookie, vendor, form, and disclosure evidence to decide whether privacy-review work should be prioritized.

Methodology

From public page load to review queue

1

Load public pages and capture visible copy, links, forms, disclosures, and runtime behavior.

2

Identify promotional, review, testimonial, affiliate, subscription, privacy, and disclosure-oriented surfaces.

3

Compare observable claims and disclosures with retained tracker, cookie, form, and vendor evidence.

4

Route ambiguous or higher-risk observations to marketing, legal, privacy, product, or engineering owners.

FAQ

FTC disclosure scanner FAQ

What is an FTC website disclosure scanner?

An FTC website disclosure scanner reviews public website surfaces that may be relevant to advertising, endorsement, review, privacy, and consumer-protection review. CertScore surfaces observations for human review; it does not decide whether an ad, claim, disclosure, subscription flow, or review practice is lawful.

Can CertScore determine whether a website violates FTC rules?

No. CertScore provides automated public-web observations for review, not legal advice, certification, proof of violation, or an FTC compliance determination.

What kinds of FTC-related signals can public scanning help with?

Public scanning can help triage visible disclosures, promotional claims, review and testimonial surfaces, affiliate-style wording, subscription or cancellation friction, privacy-policy claims, cookie/tracker behavior, and gaps between stated disclosures and observed behavior.

Does this replace a manual advertising or legal review?

No. Automated evidence can help reviewers find issues faster, but claims, substantiation, material connection disclosures, review practices, and consumer-protection questions require context-specific human review.

What does not detected mean for an FTC-related signal?

Not detected means the signal was not observed in the scan scope. It is not proof of absence, and results can vary by page coverage, geolocation, device, A/B tests, personalization, blocked scans, and timing.

Public website scans surface automated observations for review.