Product-page copy and structured product attributes
Product-page copy and structured product attributes.
Import a product record, CSV row, or enriched catalog. Central returns channel-shaped titles, attributes, schema, supported channel outputs, custom CSV/XML/JSON feed previews, source/confidence context, and review states from one verified record.
Supported channels + custom feeds · confidence on every fact · AI drafts, verification decides what ships
The product is the same. The output is not.
Your storefront wants readable copy. Google wants structured attributes. ChatGPT Shopping and other AI-readable surfaces need facts they can parse. PMax wants campaign-ready product data. Custom partners ask for CSV, XML, JSON, or JSONL. The old answer is to keep rewriting and remapping the same SKU.
Central starts from the canonical product record, then adapts the verified facts to the destination.
Start with an enriched product record or import products that need channel output.
Choose a supported channel or define a custom feed shape.
existing facts, source confidence, and review state.
descriptions, bullets, attributes, schema, or feed columns.
unsupported values stay visible in the output preview.
exports, publishes, or returns to enrichment for missing facts.
Verified title, brand, GTIN, price, material, dimensions, compatibility, care, and product type. Claim: "works with all devices." Merchant title is too long for a destination.
Google requires required attributes; custom partner wants XML fields; AI-readable output wants schema and provenance. No source supports universal compatibility. Title adaptation uses verified fields only.
Google feed row, custom XML snippet, Schema.org/JSON-LD, and storefront copy from the same record. Claim removed from bullets and shown as Needs source. Channel-ready title preview with preserved facts.
Product-page copy and structured product attributes.
Google Merchant Center, Bing Merchant Center, ChatGPT Shopping, and Perplexity Shopping outputs where enabled.
Custom CSV, XML, JSON, or JSONL feeds where the destination can consume custom formats.
x-central metadata for AI-readable product dataSchema.org/JSON-LD and x-central metadata for AI-readable product data.
Review queues for missing fields, conflicts, and unsupported claims.
Central uses supported channels plus custom feeds. Custom CSV/XML/JSON feeds can cover destinations that accept custom formats.
Yes. Central can adapt the wording to the destination while keeping claims grounded in the same verified facts.
The output preview should show the missing field and route the product back to enrichment or review.
Yes. Central can improve the product record and export feed-ready data into the stack you already use.