Knowledge Base

Understand what makes a product ready for modern commerce.

FeedZip is free ecommerce preflight and compliance infrastructure that helps merchants identify product-data, claims, policy, and channel risks before products are advertised or distributed.

What is FeedZip?

What is FeedZip?

FeedZip is free ecommerce preflight and compliance infrastructure that helps merchants identify product-data, claims, policy, and channel risks before products are advertised or distributed. It also supports recovery when a product has already been rejected or suppressed.

Instead of waiting for a product to be rejected, suppressed, or quietly limited, FeedZip helps teams find potential problems earlier. FeedZip sits upstream of advertising platforms, marketplaces, feeds, and emerging AI shopping systems.

Preflight before you publish. Diagnose when something goes wrong. Recover when a product gets blocked.

Run a preflight check
What is ecommerce preflight?

What is ecommerce preflight?

Ecommerce preflight is the process of checking product information before it is submitted to advertising platforms, marketplaces, shopping feeds, or AI commerce systems, so issues can be fixed before platforms find them.

Like a technical preflight check identifies problems before launch, ecommerce preflight looks for issues that could interfere with product eligibility, visibility, distribution, or machine understanding. It may examine:

  • Product titles
  • Descriptions
  • Marketing claims
  • Ingredients
  • Product categorization
  • Required attributes
  • Structured data
  • Data consistency
  • Channel-specific restrictions
  • Potential policy conflicts

The goal is simple: find problems before the platforms do.

Run a preflight check
What is product suppression?

What is product suppression?

Product suppression occurs when a commerce, marketplace, advertising, or shopping platform limits a product's ability to appear, advertise, sell, or distribute because of policy, content, or product-data issues.

Suppression can take several forms, from a full disapproval to quieter limits that are harder to recognize:

  • Product disapproval
  • Advertising restrictions
  • Marketplace listing removal
  • Reduced eligibility
  • Feed rejection
  • Account-level restrictions
  • Limited distribution
  • Reduced product visibility

Some restrictions are clearly communicated. Others are harder to recognize because a product stays technically active while receiving less distribution or becoming ineligible for particular surfaces. FeedZip helps merchants look for the product-data, claims, and policy issues that can contribute to these problems.

Recover a suppressed product
Preflight vs Recovery

Prevent the problem—or recover after it happens.

Preflight

Prevent the problem before launch.

Use Preflight before launching a product, starting a campaign, submitting a shopping feed, syndicating data, expanding to a marketplace, updating copy, or preparing a catalog for AI shopping. It identifies issues while they are still easier to fix.

Run a preflight check

Recovery

Understand what happened after a product is affected.

Use Recovery when a product is disapproved, a listing is suppressed, an ad is rejected, visibility unexpectedly declines, a marketplace flags a listing, or you need to prepare an appeal. Recovery translates platform enforcement into an actionable remediation plan.

Fix a suppression
FeedZip vs Feed Management

How is FeedZip different from feed management?

Feed management platforms transform, map, optimize, and distribute product feeds. FeedZip answers a different question: is this product ready to be distributed in the first place? The two complement each other.

Feed Management

Transform → Map → Optimize → Distribute

FeedZip

Check → Diagnose → Correct → Preflight → Recover

FeedZip is the layer that asks whether the product information itself is ready for the systems receiving it—examining compliance risk, claims risk, missing information, inconsistencies, channel conflicts, and machine readability before or alongside distribution.

Explore the knowledge base
Frequently asked questions

Common questions about FeedZip

Is FeedZip free?

Yes. FeedZip is free to use. The goal is to make better product-data, compliance, and commerce-readiness infrastructure accessible to ecommerce teams.

What does FeedZip check?

FeedZip evaluates product information for potential claims risk, compliance issues, missing information, data inconsistencies, channel conflicts, structured-data issues, and other factors that can affect commerce readiness.

Does FeedZip guarantee platform approval?

No. Platforms make their own enforcement and eligibility decisions. FeedZip helps merchants identify potential risks and improve product information before submission or when diagnosing an existing problem.

Can FeedZip prevent product suppression?

FeedZip cannot control platform enforcement, but it can help identify issues that may contribute to suppression before products are submitted.

What is silent suppression?

Silent suppression describes situations where a product may remain technically active but receives reduced eligibility, distribution, advertising access, or visibility without an obvious full rejection.

Does FeedZip replace Google Merchant Center?

No. FeedZip works upstream of commerce platforms. It helps evaluate product information before or alongside submission to systems such as Google Merchant Center.

Does FeedZip replace feed-management software?

No. Feed management and FeedZip solve different problems. Feed managers primarily transform and distribute product feeds. FeedZip focuses on evaluating whether product information is ready for distribution.

Does FeedZip work with Shopify?

FeedZip can be used to evaluate product information originating from Shopify before that information reaches advertising, marketplace, shopping, or AI systems.

Can FeedZip help with rejected products?

Yes. FeedZip's recovery workflow is designed to help merchants understand potential causes, identify corrective actions, and organize information needed for review or appeal.

Can FeedZip write an appeal?

FeedZip can help structure an appeal based on the product information, identified issues, corrective actions, and available evidence. Final submission and platform decisions remain with the merchant and platform.

What is AI shopping readiness?

AI shopping readiness describes how well product information can be discovered, interpreted, compared, and used by AI-driven shopping systems.

Why does structured product data matter for AI shopping?

AI systems work better when product information is explicit, consistent, structured, and connected. Ambiguous or conflicting information can make products harder for machines to understand correctly.

Who is FeedZip for?

FeedZip is built for ecommerce teams, brands, agencies, marketplace operators, performance marketers, catalog teams, and merchants managing products across multiple commerce channels.

What types of products benefit most from FeedZip?

Any merchant can benefit from cleaner product information, but FeedZip is particularly useful where claims, product attributes, platform restrictions, or compliance requirements create additional complexity.

Glossary

Canonical definitions

Ecommerce Preflight
A review of product information before it is distributed to commerce, advertising, marketplace, or AI systems.
Product Suppression
A restriction that limits a product's eligibility, distribution, advertising, visibility, or ability to sell through a platform.
Silent Suppression
Reduced product eligibility or distribution that may occur without an obvious full product rejection.
Product Disapproval
A platform decision that makes a product ineligible for a particular commerce or advertising surface.
Claims Risk
The possibility that product language creates policy, regulatory, advertising, marketplace, or substantiation concerns.
Product Data Quality
The completeness, accuracy, consistency, structure, and usability of information describing a product.
Channel Readiness
The degree to which product information meets the data, content, and policy expectations of a particular commerce channel.
Machine Readability
How easily software systems can identify, interpret, and use information about a product.
AI Shopping Readiness
The degree to which product information is structured, consistent, understandable, and usable by AI-driven discovery and commerce systems.
Structured Data
Machine-readable information that explicitly describes entities, attributes, and relationships on a webpage.
Recovery
The process of diagnosing and correcting issues after a product has been restricted, rejected, or suppressed.
Appeal
A structured request asking a platform to reconsider an enforcement decision, typically after the underlying issue has been corrected.