One workflow, every channel
The same product, written and formatted for the platform it lives on. No copy-pasting between Etsy, TikTok Shop, and Shopify.
Per-channel optimization, not generic copy
Etsy rewards keyword-rich, long-form titles and an attribute-dense description. TikTok Shop rewards short, native-feeling copy paired with trending hashtags and shoppable video. Shopify rewards SEO depth and clarity. AI Listing Generator writes a different listing for each — automatically — using your design and the channel's own ranking signals. One product, three optimized listings, in a single review pass.
Compliance checks that catch issues before the marketplace does
Every listing is validated against platform policy before it publishes. Prohibited terms, trademark risk, missing variant attributes, image-quality flags, category mismatches — Vaybel raises them while you can still fix them. For TikTok Shop specifically, the integration is direct API access through the official App Store, so the compliance signal matches what TikTok's own review system sees.
Pricing logic that lands the margin you actually want
Vaybel reads the production cost from your connected Printful or Printify account, adds the channel's fee structure (listing fees, commission, payment processing), and sets a price that hits your target margin per channel. Override per listing when you want different positioning — the engine just defaults to “make the math work.”
One-click POD provider sync and order routing
Connect Printful or Printify once and AI Listing Generator handles the variant mapping (sizes, colors, blanks) automatically. After publish, orders flow straight to your provider for production and shipping; tracking syncs back without you touching the order flow. The whole pipeline is documented in our automation playbook.
Feeds straight into Shop Insights
Every listing you publish becomes a measurable row in Shop Insights — with margin, conversion funnel, and creative asset performance per channel. The same loop also closes back into AI Trend Finder so your next drop targets a niche where you already have proof. List, measure, iterate — without leaving the workspace.