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Posting sponsored or affiliate content? Know what makes a weak disclosure risky before you hit publish.

Paste your post. Get a severity-ranked pre-check against the published endorsement guides — the material connection disclosed, the wording clear enough to count, the disclosure above the fold — before a post becomes a warning.

No credit card required · Cancel anytime

Key Takeaways

  • Post copy vs published endorsement-guide factors, severity-ranked.
  • Actionable fix checklist — never a silent rewrite or auto-publish.
  • Honesty: a heuristic pre-check — not an endorsement-disclosure certification.
EndorsePrecheck interface overview
Framework mapping

Post copy first. Endorsement-guide factors next.

Decision-support endorsement-disclosure ranks — not a certification and not a legal audit.

Disclosure & placement scan
Severity ranks
Fix checklist
Human review
What it is

EndorsePrecheck — definition

EndorsePrecheck pre-checks sponsored, review and affiliate posts against the endorsement-disclosure patterns 16 CFR Part 255 (the FTC Endorsement Guides) describes — a missing material-connection disclosure, wording too vague to count, a disclosure buried below the platform fold, an unexplained affiliate link, and copy that understates the deal you actually made — returning a scored, severity-ranked report with concrete edits before the post goes in front of regulators, platforms and audiences.

What this is NOT

  • Not an endorsement-disclosure certification, account connector, or approval guarantee.
  • Not a relationship verifier — whether a material connection is real is an advisory checklist item, never looked up.
  • Not a substitute for legal review of FTC, ASA or consumer-law obligations.

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

Why posts get challenged

Post written. Disclosure challenged.

No disclosure at all

A sponsored post that never names the paid relationship is the exact pattern 16 CFR 255.1 targets — and readers and platforms screenshot it.

Wording too vague to count

An "ambassador" or "collab" label is what the guides call out as too vague to disclose a material connection — it reads as friendship, not payment.

"#ad" buried below the fold

A disclosure past the ~125-character Instagram fold (or lost in a hashtag pile) is invisible unless the reader taps "more" — the guides ask for conspicuous placement.

Affiliate link, no commission sentence

A "link in bio" that never says you earn on purchases hides the material connection — Part 255 treats commission as a connection you must disclose.

What you get

Paste. Scan. Fix.

Severity-ranked findings from your post against published endorsement-guide factors — including where the disclosure actually lands.

Endorsement-disclosure findings

Disclosure presence, clarity, fold placement, affiliate-link gaps and context advisories, each with quoted evidence.

Severity ranks

High / medium / low so you fix the warning-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 EndorsePrecheck

Everything you need for a disclosure pre-check

Built for creators and teams shipping sponsored content every week.

Disclosure-wording and placement detection

Disclosure presence, clarity, fold placement, affiliate-link gaps and context advisories, each with quoted evidence.

Severity-ranked output

High / medium / low so you fix the warning-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 post copy

The exact text you plan to publish — plus post type, platform, and the connection you have.

2

Scan

Deterministic engine ranks findings by severity and measures disclosure placement.

3

Review

You edit the copy. EndorsePrecheck never rewrites or publishes.

What you get

Paste. Scan. Fix.

Severity-ranked findings from your post against published endorsement-guide factors — including where the disclosure actually lands.

No disclosure at all

A sponsored post that never names the paid relationship is the exact pattern 16 CFR 255.1 targets — and readers and platforms screenshot it.

Endorsement-disclosure findings — Disclosure presence, clarity, fold placement, affiliate-link gaps and context advisories, each with quoted evidence.

Trust model

Endorsement-guide factors · deterministic placement math · human review

Paste your post copy with post type, platform and connection. Deterministic severity ranks first, disclosure placement measured against the platform fold. Optional AI never invents findings. You review before publishing.

Read the methodology →
Positioning

Paste-first disclosure reports — not a compliance suite

#EndorsePrecheckManual Endorsement-Guide reading / banned-word lists
1Copy vs disclosure factors in one pasteHours reading guide explainers
2Severity-ranked fix list with placement mathScattered checklist notes or a public warning
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 influencers, creators and brand teams

Capability cards describe the studio. No fabricated customer counts.

Capability
Endorsement-disclosure findings

A pasted post becomes ranked findings against published endorsement-guide factors.

Capability
Context fit

Post type, platform and connection tune how aggressively disclosure and placement risks escalate.

Capability
Fix checklist

Every finding ships a suggested edit — you still decide.

Simple plans that scale

All paid plans include

  • Disclosure 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
Disclosure-presence scan: is there any clear "paid partnership" / "#ad" / "I earn a commission" signal at all, or only vague relationship words?✓ Included✓ Included✓ Included
Clarity check: bare "ad", slang like "sp"/"collab" and ambassador-style labels flagged against the guides' own "too vague" examples✓ Included✓ Included✓ Included
Placement math: disclosure position measured against the Instagram / TikTok / Shorts fold (long-form surfaces skip the fold check rather than guess it)✓ Included✓ Included✓ Included
Material-connection specificity: affiliate links or "link in bio" CTAs with no commission wording; declared "paid" vs copy that says "for free"✓ Included✓ Included✓ Included
BYOK (your LLM key)Not includedNot included✓
SSONot includedNot includedRoadmap
Support & compliance
SupportCommunityPriorityCustom SLA

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EndorsePrecheck — frequently asked questions

Your questions, answered

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