Per-channel content, per-channel SEO.
AI-transformed product photos. Channel-tuned titles, bullets, and descriptions. Copy that competes for the algorithm of the marketplace it actually lives on. One product, many listings, all on the same data model. Multi-language for international channels.
The shape of listings in CCEN.
Listings is the per-channel product representation. Every product can have one or many listings, one per channel, with channel-specific copy, imagery, attributes, and pricing. Listings are views of one product, not copies. Rules say where each value comes from: the product master, a template, or a hand-edit. Multi-language is first-class for EU, JP, and AU channels.
Amazon SEO is not Shopify SEO.
Amazon's algorithm rewards keyword-stuffed titles, structured bullets, and category-specific attributes. Shopify's storefront rewards clean storytelling, hero imagery, and brand voice. Walmart cares about GTIN compliance and content score. TikTok Shop cares about video-first hooks. They are different competitions.
CCEN's Listings entity treats each channel as a first-class view of the underlying product. The same SKU can have a Shopify listing with brand-voice copy, an Amazon listing with algorithm-tuned bullets, a Walmart listing with structured attribute coverage, and a TikTok Shop listing with hook-led copy and a clip thumbnail.
Bulk edit operates on the listing layer, not the product layer. Update Amazon bullets across 800 SKUs without touching Shopify. Push a new Walmart compliance attribute to every listing in a category. Diff before push. Preview before commit.
Copy from product, or override per listing.
Every field on a listing has a mode. Copy mode pulls from the product master and stays in sync. Compute mode runs a template ('{{product.title}} - {{listing.color}} - {{listing.size}}'). Override mode holds a hand-edited value that does not get overwritten on product updates.
Rules say where each value comes from: the product master, a template, or a hand-edit. The mode is visible in the editor. Operators see at a glance which fields are linked, which are computed, and which were overridden. When a product update lands, the system shows what propagated, what didn't, and why.
Templates support per-channel logic. The Amazon title template can stuff keywords. The Shopify title template can stay clean. The Walmart title template can hit content-score requirements. One product, three sane titles, no copy-paste chain. Multi-language templates extend the same pattern to JP, DE, FR, ES.
Repurpose one photo across every spec.
Amazon requires a white background, a defined image area, and a minimum resolution. Shopify is flexible. Walmart has a content score that rewards lifestyle imagery. TikTok Shop wants square crops. The AI image transform takes one master photo and produces channel-compliant variants in a batch.
Background removal, white-fill, lifestyle composite, square crop, video-thumb extraction, all run as named transforms. Operators chain them per channel. The Amazon transform stack is different from the Shopify stack. Each is reviewable before push.
When the master image updates, the variants regenerate on the same transform stack. No manual re-export. No 'we forgot to update Amazon' meetings. The variants reflect the master, every time.
Three things Channable and Feedonomics, running on a flat file, will not do.
Per-channel copy, per-channel SEO
Amazon-tuned bullets, Shopify-clean storytelling, Walmart's content score, TikTok Shop's video hooks. Different competitions, same product, different listings.
One photo, every channel spec
Background removal, white-fill, lifestyle composite, square crop, video-thumb. The Amazon spec, the Shopify spec, and the TikTok spec, from one master photo, in a batch.
Multi-language templates
JP, DE, FR, ES, AU. Templates per language, glossary per brand, review queue before push. International channels stop being a copy-paste meeting.
Content built for every algorithm.
Per-channel copy
Title, bullets, description, attributes, all tuned per channel. Amazon SEO is not Shopify SEO.
AI image transform
Background removal, white-fill, lifestyle composite, square crop. Channel-compliant variants from one master.
Field modes
Copy from product, compute from template, or override per listing. Mode visible in the editor.
Bulk edit
Operate on the listing layer. Update Amazon bullets across 800 SKUs without touching Shopify.
Keyword research
Suggested keywords per channel from search trends. Stuff Amazon. Keep Shopify clean.
Compliance checks
GTIN, MAP, content score, image specs, prohibited claims, all checked before push.
Versioning and diffs
Every push diffs against the live listing. Roll back to the prior version in one click.
AI copy assist
Drafts channel-specific copy from product data and your brand guide. Edit before push.
Multi-language
JP, DE, FR, ES, AU templates. Glossary per brand. Review queue before push, on every locale.
Pick a channel, see the same SKU's listing.
The same product (Mia Belle Baby's Pink Twirl Dress, 6T) rendered across the four channels operators run hardest. Toggle to see how the title, bullets, and image specs change per channel, while the underlying product master stays the same.
Storefront-grade copy with hero imagery and a long-form description. Title is human-readable. The Shopify product page leads with a lifestyle photo and a paragraph that sounds like the brand.
- Title: 'The Pink Twirl Dress · 6T'
- Image: lifestyle composite, 4:5
- Description: 320 words, brand voice
Amazon-grade title with category, attribute, and brand keywords. Five structured bullets. White-background hero image at 2000x2000. GTIN compliance enforced.
- Title: 'Mia Belle Baby Pink Twirl Dress, Toddler Girl, 6T, Spring Summer'
- Image: white-bg, 2000x2000
- 5 bullets, 250 chars each
Walmart-grade title with structured attribute coverage. Lifestyle imagery rewarded by the content score. GTIN required. Attribute completeness above 95 percent.
- Title: 'Pink Twirl Dress for Toddler Girls, Size 6T'
- Image: lifestyle, structured alt
- Content score: 96 / 100
TikTok-grade copy that opens with a hook, not a feature. Square thumbnails. Video-first product page. The clip thumbnail is extracted from your hero video automatically.
- Hook: 'The dress that twirls itself'
- Image: square 1:1 + clip thumb
- Video-first PDP
The channels, the schemas, and the AI tools your team plugs in.
First-party adapters to the channels that matter, plus compatibility with the schemas the bigger merchandising tools depend on.
“We were running a Shopify CSV, an Amazon flat file, a Walmart spreadsheet, and a designer rendering hero images for each. CCEN's Listings collapsed it to one workflow. We launch new SKUs across all four channels in an afternoon now.”
Listings that win the algorithm.
Walk through field modes, bulk edits, and AI image transforms on a real product across Amazon, Shopify, Walmart, and TikTok Shop.