Ecommerce Beginner 18 min

Listings — titles, bullets and descriptions that convert and comply

The problem

You have 180 SKUs to list. You write the first twelve carefully, then start copying and editing. By SKU 90 the titles are inconsistent, the bullets repeat, and three listings contain a claim that gets them suppressed.

The workflow
1Collect 3 best listings
2Build the few-shot prompt
3Add review vocabulary
4Generate a batch of 10
5Spot-check
6Compliance pass
7Scale
Track conversion

What you need

Product: insulated steel lunch box, 3 containers, silicone-sealed inner, 1.2L total, keeps food warm ~4 hours, BPA-free plastic outer clip, brand Rasoi. Customer vocabulary from reviews: 'leak', 'gravy', 'stays hot', 'office tiffin', 'easy to clean', 'fits in bag'.

The tool

A few-shot prompt with three of your own best listings

The prompt

Subscribers. The full prompt is part of the SMEMinds AI Playbook. See plans.

What comes back

Inferred rules from your examples: brand first, always; product type in the customer's word not the category's ('tiffin' where reviews use it); capacity before colour; em dash before the attribute list; no promotional adjectives; pack contents last. TITLE — Rasoi Insulated Steel Lunch Box 1.2L — 3…

Verify before you use it

Human review required. Check every line below before this leaves your screen.
  • Verify the 'about 4 hours' figure has actually been tested. A thermal claim that fails in a customer's hands is a return and a bad review.
  • Check bullet 4 physically against the product. This is the claim-versus-reality check and it is the one people skip.
  • Look up the current legal metrology and country-of-origin requirements yourself. Note the date you checked.
  • Spot-check ten of the generated listings against their source attributes before publishing 180. Rule inference errors appear consistently, so ten is enough to catch them.