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AIContentAI EnrichmentProduct Data

Build complete, channel-ready content for every SKU in your catalog.

Most catalogs imported from Shopify or legacy systems have gaps: missing brand names, vague descriptions, no product category, incorrect apparel attributes. FeedGraph's AI enrichment engine identifies every gap and fills it with channel-appropriate content — across thousands of products in a single job.

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How to

SKU-Level Content Build-Outs — step by step

01

Identify content gaps

The the "Needs fixing" queue scores every product against all active channels. Missing brand, no GTIN, vague descriptions, wrong category — each gap is listed with the affected products and its impact on feed export eligibility.

02

Run AI enrichment

Select a field (description, product type, brand, title) and run AI enrichment as a bulk job. FeedGraph generates accurate, channel-appropriate values based on the existing product data.

03

Review and approve

Enriched values appear alongside the original in a review interface. Accept all, reject individual items, or bulk-approve after spot-checking. All changes are logged with a full audit trail.

04

Publish enriched catalog

Once approved, enriched content flows immediately to all channels. Feeds that were previously export-blocked due to missing fields now pass validation and publish successfully.

Ready to try it?

FeedGraph is in early access. Apply to join and we'll onboard you personally — no credit card required.

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