Peptide compliance review automation that catches human-use language before it goes live
For research peptide companies publishing product pages, Klaviyo campaigns, ad drafts, affiliate posts and support macros faster than one reviewer can read them. Every draft is checked against the claim policy your counsel writes, and anything that looks like a use, benefit or dosing statement waits for a person.
- Drafts screened before publish, not after a warning
- Your counsel's rules, applied the same way every time
- A dated log of every flag and decision
How risky copy slips through
Implied use hides in ordinary words
No one types a dosing chart. The trouble is a testimonial, a 'protocol' blog post, an emoji in an ad or a product name that hints at an outcome, any of which can contradict a research-use-only label.
Old pages never get re-read
Product descriptions written two years ago, retired email flows still live in Klaviyo and saved replies in the help desk sit untouched while your policy changes around them.
Platforms reject first and explain later
Google Ads, Meta and the big marketplaces restrict or prohibit many peptide products. A rejected ad or listing can turn into a suspended account, with little detail on which phrase triggered it.
What the review automation checks
A screening layer across every channel that publishes words for your company. It flags; your reviewer decides. It never rewrites copy into product claims of its own.
Product page and listing scans
Titles, descriptions, image alt text, FAQs and reviews on Shopify, WooCommerce or BigCommerce are checked whenever they change, plus a full sweep of the catalog.
Email and SMS draft checks
Klaviyo campaigns and flow messages are screened before scheduling, including subject lines and preview text that are easy to miss.
Ad and affiliate copy review
Ad drafts and affiliate or influencer submissions are compared against your policy and the published restricted-content terms of the platforms you advertise on.
Pattern flags, not just keywords
The model looks for implied outcomes, before-and-after framing, human-use wording and testimonials, and explains in one line why each passage was flagged.
Reviewer queue with decisions
Each flag shows the passage, the rule it hit and the source. Your reviewer approves, edits or removes, and the decision is saved.
Macro and template sweeps
Saved replies in Gorgias, Zendesk or Help Scout are re-screened whenever the policy changes, so old macros don't keep saying what you've retired.
Every channel that carries your words
Storefront catalogs
Shopify, WooCommerce and BigCommerce product data read through each platform's official API.
Klaviyo
Campaigns, flows and templates pulled through Klaviyo's API for screening before send.
Ad drafts
Copy exported from ad accounts or pasted into a review form before submission.
Help desk macros
Gorgias, Zendesk and Help Scout saved replies re-checked on every policy change.
Live ticket drafts
Support drafts screened against the same rules before an agent sends.
A copy screening agent
One of six agents we build for peptide operations.
Why this review is built the way it is
RUO labels depend on consistent copy
FDA warning letters to online peptide sellers have cited site and social content that suggested human use. We screen for that pattern across every surface, and your counsel decides what stays.
FTC Act Section 5 sets a high bar for claims
The FTC treats health claims without competent and reliable scientific evidence as deceptive. Flagging benefit language early keeps those calls with your counsel, not a copywriter.
Flags, never legal advice
We don't decide what is lawful and the system doesn't certify anything as compliant. It applies the policy your counsel sets and shows its reasoning.
A history you can produce
Every scan, flag, decision and policy version is dated and stored in your company's accounts, ready if a processor, platform or counsel asks.
“He got me 9 sales in my first 7 days of launching our campaign, which exceeded my expectations!”
Common questions
What is peptide compliance review automation?
Software that reads product pages, emails, ads, affiliate posts and support macros, compares them with your company's claim policy and routes anything that looks like a use, benefit or dosing statement to a human reviewer.
Will it tell us whether our copy is legal?
No. We don't give legal advice. It flags passages against rules your counsel wrote, and your counsel or compliance lead makes the decision.
Who writes the banned-term list?
Your counsel or compliance lead. We help turn their guidance into precise rules and test cases, and we add the published restricted-content terms of platforms you use.
Can it catch claims in images or video?
Text in images can be read and screened, and video can be screened from captions or transcripts. Visual meaning beyond the text still needs a person.
Will it help get rejected ads approved?
It shows which phrases likely conflict with a platform's published policy so your team can decide what to change. It will not suggest wording meant to get around a platform's restrictions.
Can it review affiliate and influencer posts we don't control?
If affiliates submit drafts through a form or shared folder, yes, before they post. Live posts on their own accounts can be checked from links they send you.
Find the risky sentence before someone else does
Take the 2-minute AI audit to see which of your channels carry the most unreviewed copy.
- Collect every surface that publishes words
Store pages, Klaviyo flows, ad accounts, affiliate briefs, help desk macros, packaging inserts. We list them and how each can be read.
- Turn your counsel's policy into testable rules
Your counsel or compliance lead supplies the banned terms and patterns. We write them as rules with examples of what should and shouldn't be flagged.
- Sweep the back catalog first
The first pass screens what is already live. Your reviewer works through the findings, and their decisions sharpen the rules.
- Gate new drafts, re-sweep when rules change
New content is screened before publish. Monthly, we review missed flags and false alarms and re-run sweeps when the policy is updated.