A clean Amazon feed starts with a clean source catalog. The app or manager that pushes to Amazon (Codisto, Sellbrite, Lengow, Shoppingfeed) invents nothing: it picks up data from your Shopify or PrestaShop. Bad source, bad feed.
This guide explains how Seegea prepares source data so your Amazon feed is accepted on the first try and holds over time.
Seegea prepares your catalog before export
Critical fields of an Amazon feed in 2026
item_sku— unique seller identifierexternal_product_id+external_product_id_type(EAN/UPC/GTIN)item_name— 200-character title, structuredbrand_name— brandbullet_point1tobullet_point5— 200 to 500 characters eachproduct_description— limited HTML, no JavaScriptmain_image_url+other_image_url1-8standard_price,quantity,fulfillment_channelitem_type_keyword— Amazon taxonomy
external_product_id already assigned to another Amazon listing lands you on the existing listing — and makes you lose control of it. Check your EANs before publishing, not after.How Seegea prepares Amazon fields
A9-friendly title
5 generated bullet points
Amazon-compliant images
| Criterion | Manual approach | Seegea |
|---|---|---|
| Title preparation | Manual per listing | 1-click AI on selection |
| Bullet points | 30 min/listing writing | Generation + validation |
| 2000×2000 white-bg images | Photoshop batch | Bulk compression + WebP |
| EAN / UPC | Separate Excel | Dedicated grid column |
| Post-rejection fixes | Listing by listing in Amazon | Bulk edit + re-push |
Audit your catalog before export to Amazon
Google Meet · 30 min · no commitment
What you gain by keeping a clean Amazon feed
A maintained Amazon feed means more Buy Box wins, a Brand Analytics fed by reliable data, Sponsored Products campaigns that convert better, and fewer seller support calls to fix a botched ASIN.
Built in France between Annecy and Chantilly, Seegea supports each new merchant by email and Google Meet to calibrate the feed before the first Amazon push.
