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Running a reviews or testimonials program? Know what makes the practice risky before it goes live.

Paste your review wording. Get a severity-ranked pre-check against the published FTC rule — fake or bought reviews, undisclosed incentives, insider reviews, gating and suppression, company-controlled sites — before a review program becomes an FTC problem.

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Key Takeaways

  • Review wording vs published Part 465 factors, severity-ranked.
  • Actionable fix checklist — never a silent rewrite or auto-publish.
  • Honesty: a heuristic pre-check — not a consumer-reviews certification.
ReviewPrecheck interface overview
Framework mapping

Review wording first. Part 465 factors next.

Decision-support consumer-review ranks — not a certification and not a legal audit.

Review & disclosure scan
Severity ranks
Fix checklist
Human review
What it is

ReviewPrecheck — definition

ReviewPrecheck pre-checks how a business uses consumer reviews and testimonials against the FTC Rule on the Use of Consumer Reviews and Testimonials (16 CFR Part 465) — fake or bought reviews, incentivized and insider reviews that omit a material-connection disclosure, review suppression or gating, and company-controlled review sites presented as independent — returning a scored, severity-ranked report with concrete edits before the reviews go live.

What this is NOT

  • Not a consumer-reviews certification, account connector, or approval guarantee.
  • Not a reviewer-identity verifier — whether a review is genuine or a disclosure is conspicuous is an advisory checklist item, never looked up.
  • Not a substitute for legal review of FTC or consumer-law obligations.

Controller / Processor — When packs mention privacy roles, we use GDPR Art.4 labels: Controller and Processor (decision-support only).

Why review practices get challenged

Reviews published. Review practice challenged.

Fake or bought reviews

Fabricated reviews, or paying or giving free product for a review with no disclosure, are what 16 CFR 465.2 and § 465.4 target — and the FTC can pursue them without a prior warning.

Insider reviews passed off as customers

“Our team loves it” shown in a “customer reviews” block without a relationship disclosure is an insider-review problem under § 465.5 — it reads as independent feedback it is not.

Gating and suppressing negatives

Soliciting only happy customers or filtering out low-star reviews is exactly the review-suppression practice § 465.7 prohibits, even if some negatives appear elsewhere.

A company-controlled “independent” site

Your own review portal that looks unbiased but is owned and curated by you must say so — § 465.6 requires a clear company-control disclosure or the independence is misrepresented.

What you get

Paste. Scan. Fix.

Severity-ranked findings from your review wording against published Part 465 factors — including which practice needs a disclosure or has to stop.

Consumer-review findings

Fake/bought reviews, undisclosed incentives, insider reviews, suppression/gating, and company-controlled sites, each with quoted evidence.

Severity ranks

High / medium / low so you fix the FTC-ready gaps first.

Fix checklist

Actionable edits — you still own the final copy.

Copy-ready report

Markdown you can paste into a ticket or campaign thread.

Why ReviewPrecheck

Everything you need for a consumer-reviews pre-check

Built for brands and teams running review and testimonial programs every week.

Review-signal and disclosure detection

Fake/bought reviews, undisclosed incentives, insider reviews, suppression/gating, and company-controlled sites, each with quoted evidence.

Severity-ranked output

High / medium / low so you fix the FTC-ready gaps first.

Fix checklist included

Actionable edits — you still own the final copy.

Copy-ready

Markdown you can paste into a ticket or campaign thread.

From paste to pre-check report in 3 steps

From paste to pre-check report in 3 steps

1

Paste the wording

The exact review request, testimonials block, or review-page copy — plus practice type, channel, and disclosure.

2

Scan

Deterministic engine ranks findings by severity and checks each review signal for the disclosure or practice the rule expects.

3

Review

You edit the copy. ReviewPrecheck never rewrites or publishes.

What you get

Paste. Scan. Fix.

Severity-ranked findings from your review wording against published Part 465 factors — including which practice needs a disclosure or has to stop.

Fake or bought reviews

Fabricated reviews, or paying or giving free product for a review with no disclosure, are what 16 CFR 465.2 and § 465.4 target — and the FTC can pursue them without a prior warning.

Consumer-review findings — Fake/bought reviews, undisclosed incentives, insider reviews, suppression/gating, and company-controlled sites, each with quoted evidence.

Trust model

Part 465 factors · deterministic disclosure logic · human review

Paste your review wording with practice type, channel and disclosure. Deterministic severity ranks first, each review signal checked for the disclosure or practice the rule expects. Optional AI never invents findings. You review before publishing.

Read the methodology →
Positioning

Paste-first consumer-review reports — not a compliance suite

#ReviewPrecheckManual Part 465 reading / banned-word lists
1Wording vs review-practice factors in one pasteHours reading rule explainers
2Severity-ranked fix list with disclosure logicScattered checklist notes or an FTC letter
3Self-serve from $19/moEnterprise compliance suites
4Decision-support onlyMay over-promise approval guarantees
Trust

Methodology before you ship

AI draft · human review · decision-support only.

Read methodology →Open studio
Drafts

Try it on this page

or generate below.

Controls

Result

Your output will appear here.
$19/mo — Upgrade

Saved history

Saving & exporting your diagnostics is a Pro feature. Upgrade to keep a running history and export it as Markdown or PDF.

Built for brands, growth and CX teams

Capability cards describe the studio. No fabricated customer counts.

Capability
Consumer-review findings

A pasted review program becomes ranked findings against published Part 465 factors.

Capability
Context fit

Practice type, channel and disclosure tune how aggressively fake-review and missing-disclosure risks escalate.

Capability
Fix checklist

Every finding ships a suggested edit — you still decide.

Simple plans that scale

All paid plans include

  • Consumer-reviews pre-check studio
  • Severity-ranked export
  • Rule-based checks (decision-support)
  • Email support on paid plans — no hidden add-ons for core studio use
Free
$0
  • Limited AI checks: 3/day · 15/mo (fair use)
  • Studio demo (no extra LLM fee)
Most popular
Pro
$19/mo
  • AI included: 40 runs/day · 300/mo (fair use)
  • No separate ChatGPT subscription required
  • Priority support · 2 months free with yearly
Get ProOr pay yearly — $16/mo
Enterprise
Custom
  • Team seats · API access (roadmap)
  • Optional BYOK (your OpenAI key)
Configure BYOK

Feature comparison

What each plan includes — quotas reflect the enforced fair use limits.

DimensionFreeProEnterprise
Usage
AI runs3/day · 15/mo40/day · 300/mo200/day · 3,000/mo
Report exportWatermarkedClean exportClean export
Audit logNot included✓ Included✓ Included
Product
Fake / bought reviews: “we pay for 5-star reviews,” fabricated or no-experience testimonials caught against § 465.2✓ Included✓ Included✓ Included
Undisclosed incentives: “leave a review for a gift card / discount / free product” with no clear material-connection disclosure (§ 465.4)✓ Included✓ Included✓ Included
Insider reviews: “our team says…” presented as customer feedback without a relationship disclosure (§ 465.5)✓ Included✓ Included✓ Included
Suppression & gating: only posting positive reviews or filtering out negatives (§ 465.7)✓ Included✓ Included✓ Included
BYOK (your LLM key)Not includedNot included✓
SSONot includedNot includedRoadmap
Support & compliance
SupportCommunityPriorityCustom SLA

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ReviewPrecheck — frequently asked questions

Your questions, answered

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