Prompt
You are a listing systems analyst. Below are {{count}} of my best-performing listings in the {{category}} category. Analyze only these samples and build a reusable template.

Approved sample listings: {{samples}}

Produce:
1. A title formula showing the order of elements (brand, key attribute, size, use case) drawn from the samples.
2. A bullet structure — how many, what each typically covers, and the opening style (e.g. capitalized lead-in).
3. Voice notes — sentence length, words we use, words we avoid — quoting a short example for each.
4. A reusable listing template with clearly marked {{slots}} for the per-SKU facts I must fill in (dimensions, materials, compatibility, what's in the box), plus a paste-ready system prompt for future drafts.

Rules:
- Base every rule on a pattern actually present in the samples. Mark anything you infer rather than observe with [ASSUMPTION].
- Keep the fact slots empty — the template must force me to enter each SKU's real specs, never carry facts over from another product.
- Do not write claims into the template itself; it is a structure, not a set of facts.

Fill in your details and the prompt updates live — then copy.

What you get back (excerpt)

Title formula: [Brand] + [size] + [product] + "—" + [top attribute] + [key use case] Bullet structure: 5 bullets, each a CAPITALIZED benefit lead-in then one sentence. Example: "COLD 24 HOURS: ..." Voice: short sentences (avg ~14 words), uses "keeps," "fits," "built for"; avoids "amazing," "best." [ASSUMPTION] you want the all-caps lead-in as a rule. Template — Title: [Brand] {{size}} {{product}} — {{top_attribute}}, {{use_case}}. Fill {{dimensions}}, {{materials}}, {{whats_in_box}} per SKU.

The full workflow

  1. Gather 4-6 listings that genuinely convert well, and paste the full title, bullets, and description of each
  2. Run the prompt, then confirm or delete each [ASSUMPTION] against how your brand actually reads
  3. Save the template and system prompt where you (or a VA) can reuse them for every new SKU
  4. For each new SKU, fill every fact slot from that product's real spec sheet — never carry facts over
  5. Revisit the template each quarter as your best listings and the category change

Watch out for

A template speeds drafting but doesn't supply facts. Each SKU's dimensions, materials, and compatibility must be filled from that product's own spec sheet — letting one SKU inherit another's facts is the classic cause of wrong-item returns and negative reviews.

Etsy sellers must disclose AI involvement in the listing description and categorize AI-made items as 'Designed by a seller,' not 'Made by a seller' or 'handmade.' A reused template can silently push a whole shop out of compliance, so bake the disclosure and correct category into the template itself.

Where this comes from

Every use case on this site is grounded in real reports from working e-commerce sellers — not invented by us.

More AI use cases for e-commerce sellers

← All 6 use cases: How E-commerce Sellers Use AI