Compliance matters. So does fairness.
Health and wellness claims should be accurate. Customers deserve protection. But brands also deserve rules they can understand and apply consistently.
One SKU can face six versions of "compliant."
A claim that passes on a product page may fail in an ad. A feed accepted yesterday may lose visibility after a policy change. Structured data may be technically valid but still too incomplete for an AI agent to understand.
The result is familiar: rejected ads, suppressed listings, delayed launches, manual rewrites, and no clear explanation. Smaller businesses feel that cost most. A confusing policy decision can erase visibility they spent years building.
We built the tool we believed every brand should have.
FeedZip was created after years of watching legitimate products get caught in broad, inconsistent platform enforcement. We are not against regulation. We believe strong compliance protects customers and creates trust.
We are against a system in which only the largest companies can afford to interpret the rules. That is why FeedZip brings claims checks, policy signals, structured data, safer rewrites, and review context into one free service.
Free is not a promotion. It is part of the mission.
What FeedZip does
- Finds claims and language that may trigger review
- Checks product data against channel-specific requirements
- Rewrites risky copy while preserving intent
- Structures attributes for platforms and AI agents
- Records what changed and why
- Generates an appeal kit for products that have already been suppressed
- Helps teams review a single SKU or an entire catalog
A suppression notice should not leave a brand guessing.
FeedZip's Appeal Kit Generator helps teams turn a platform notice into a structured response. It connects the stated issue to the affected product content, prepares corrected language, and organizes the appeal so the brand can respond clearly and quickly.
The workflow was built from winning hundreds of Amazon appeals and resolving listing suppressions across large, complex product catalogs.
The next storefront may be an agent.
As buying shifts from browsing to asking, products will be selected through data. Agents need clear identity, structured attributes, consistent facts, and claims they can evaluate with confidence.
FeedZip helps make each SKU readable by machines, credible to platforms, and useful to people. But agentic commerce cannot depend on every platform inventing another opaque compliance layer. It needs a shared protocol—and FeedZip exists to help build and advocate for that standard.
For the teams accountable when listings fail.
Commerce teams
launching and maintaining large catalogs
Growth teams
keeping ads and feeds active
Brands
protecting product language across channels
Agencies
managing compliance across client accounts
Enterprise teams
that need controls, exports, and an audit trail
Built from real-world enforcement.
FeedZip wasn't created from compliance theory. It came from years of dealing with the problem firsthand.
It started at iHerb, managing thousands of listings across Amazon, Walmart, and Target—working through suppressions, policy issues, appeals, and constantly changing marketplace requirements.
At Love.com, the challenge expanded to thousands of products across Google Merchant and Google Ads, where feed quality, claims, product data, and policy enforcement directly affected visibility.
Then came larger catalogs for national brands across Meta, TikTok Shop, Microsoft, and other commerce platforms—each with its own rules, enforcement systems, and interpretation of the same product.
Now even emerging shopping surfaces like Shopify's Shop app introduce their own product eligibility and enforcement requirements.
The pattern became clear: every platform has rules, but brands are often left figuring out what's wrong after something gets limited or rejected.
FeedZip turns that operating experience into a pre-flight check—helping teams find and fix problems before they become suppressions, lost visibility, or another appeal.
The same operating experience drives a related project — SupFacts — exploring how better-structured supplement data helps AI shopping systems understand, compare, and recommend products.
Founder Joe Pizarro brings 20+ years of commerce and catalog experience across iHerb, Love.com, and national brands.