Turn OpenAI commerce-feed requirements into SKU-level implementation work.

Product feed optimization for ChatGPT starts with required fields

For each reviewed product, Lumen checks the published commerce-feed basics: product identifier, title, description, product URL, brand, seller, image URL, price and availability. The assessment reports observed coverage and identifies which fields need attention first.

Fix the source, not a spreadsheet snapshot

The useful implementation is usually upstream: catalog attributes, variant data, storefront templates, structured data or feed mappings. Lumen’s fix queue is designed to turn missing or inconsistent product facts into implementation work that can be rechecked after deployment.

Keep readiness separate from placement

Passing a field-readiness check is not approval, ranking or recommendation. Lumen reports the evidence it can verify and keeps direct-assistant measurement separate from feed-readiness analysis.