Now live on the Shopify App Store →

Shopify Product Descriptions That Actually Convert — AI vs Manual

Why supplier copy fails

It talks about warehouse packing, wholesale MOQs, and generic “high quality” claims. Shoppers want outcomes, fit, materials, and proof.

What conversion copy looks like

  • Clear product promise in the first line
  • Benefits before specs
  • Scannable bullets
  • Objection handling (shipping, sizing, durability)
  • Brand voice consistency across the catalog

What AI can and can’t do

Can: rewrite tone, structure benefits, clean grammar, localize for your market, generate variants of bullets.

Can’t: invent verified certifications, replace product photography strategy entirely, or know your unique brand story unless you provide it.

Ecomato credit example

  • Import 10 products original = 1 credit
  • Rewrite all 10 with AI = 10 credits (plus the import cost depending on workflow)
  • Rewrite + images on 10 = 30 credits

See the live credit table on Features.

Before / after product page walkthrough (expand)

  1. Paste supplier URL
  2. Show raw extracted description
  3. Run AI rewrite
  4. Diff title / bullets / body
  5. Preview on Warmly / Avera / Novaire
  6. Publish

Outline to expand (~800 words)

  • Example diffs for gadgets vs apparel
  • Prompt ingredients merchants should add (audience, tone, banned claims)
  • QA checklist before publish
  • CTA to install Ecomato

CTA

Try AI rewrite on Spark after install — pricing.