Make your product information easier for machines to understand.
FeedZip turns supplied product copy into clearer facts, structured attributes, and better-separated claims so shopping, search, marketplace, feed, and AI systems can more reliably interpret the product.
Free for every brand. No credit card. No paywall.
How it works
From copy to structured data
- 1
Add the product information
Supply copy and any source material you want represented.
- 2
Clarify the record
Separate facts, claims, attributes, sources, and gaps.
- 3
Resolve conflicts
Identify inconsistencies instead of silently merging them.
- 4
Export supported structure
Produce machine-readable output for the surfaces you control.
Machines cannot reliably use information they cannot distinguish.
Marketing copy often mixes identity, ingredients, benefits, instructions, claims, and qualifiers into the same paragraph. Product systems work better when those elements are clearly structured, internally consistent, and connected to their sources.
Regulated categories we cover
Where it ships clean
Marketplaces, ad networks, and omnichannel feeds — Google Shopping, Meta Ads, Amazon, TikTok Shop, Walmart, Shopify — plus the AI shopping agents now reading every catalog.
Normalized attributes
Map supplied product information into clearer, reusable fields.
Separated claims and facts
Distinguish what the product is from what the brand says it does.
Source status
Identify what was supplied, extracted, inferred, missing, or in conflict.
Structured output
Generate supported schema or exportable fields for destinations you control.
Readiness Generator
Structured product data · AI shopping readiness
Step 1 of 2 — Product source
What the structured output contains
Normalized attributes
Supplied copy mapped into reusable product fields.
Separated claims & facts
What the product is vs. what the brand says it does.
Source status
Supplied, extracted, inferred, missing, or in conflict — on each fact.
Conflict resolution
Inconsistencies surfaced instead of silently merged.
Structured output
Reusable fields and schema.org structure, ready to export.
Channel expressions
Tuned for Google shopping, ChatGPT, Perplexity, Amazon Rufus.
Paste product copy to continue.
Readiness is not preferential treatment.
Systems such as Google shopping experiences, ChatGPT shopping, Perplexity, Amazon Rufus, marketplace search, and other assistants use different sources and selection methods. FeedZip can help improve the clarity and structure of product information you control. It cannot guarantee ingestion, citation, recommendation, inclusion, or ranking by any third-party system.
Structured product information can improve machine readability and interoperability. It does not guarantee that an AI system will select, cite, recommend, or rank a product.