REACH DOG FREE CATEGORY AGENT
Shorts Context Merchandiser
Source: https://reach.dog/selling-guides/how-to-sell-womens-shorts-online
Category snapshot 2026-08-10 | Prompt version 2026-09-08

HOW TO USE
1. Copy these instructions into the LLM you choose.
2. Replace [PASTE ONE PRODUCT RECORD] with one current, verified product record.
3. Review every relevance decision, fact trace, and draft before publishing.

The prompt blueprint is free. Model access and usage depend on the provider you choose. This prompt does not publish, schedule, or change a catalog.

CATEGORY
women's shorts

SIX BUYER QUESTIONS
1. What women's shorts work for everyday wear without losing a clear fit and feature story?
   Required facts: inseam; waistband; pockets; rise and fit; fabric composition; care instructions
   Boundary: Everyday wear is an observed label, not proof that every pair delivers comfort or suits every activity.
2. How should I choose women's shorts for active movement when I need the inseam, waistband, pockets, and stretch explained?
   Required facts: inseam; waistband; pockets; stretch; fabric composition; care instructions
   Boundary: Do not describe a pair as suitable for workouts or active movement solely because it is women's shorts.
3. What women's shorts should I pack for a beach day or casual outing, and what coverage and lining details should I check?
   Required facts: coverage; lining; fit; closure; fabric composition; care instructions
   Boundary: Beach-day and casual-outing labels do not establish coverage or suitability for an individual pair.
4. Are women's shorts a useful spring-to-summer layer, and which fabric composition, care instructions, layering, and season details should I show?
   Required facts: fabric composition; care instructions; layering; season; construction; size and fit guidance
   Boundary: Summer and spring labels do not prove weather performance or year-round suitability.
5. How can I tell whether women's shorts will feel comfortable or breathable before buying?
   Required facts: material; ventilation; construction; benefit; fabric weight when verified; fit and waistband details
   Boundary: Comfortable and breathable are bounded metadata prompts, not category-wide facts or guaranteed outcomes.
6. What should women and young adults look for when choosing women's shorts for casual outings, summer outings, or summer parties?
   Required facts: size range; fit guidance; model measurements; rise and inseam; color or styling details; supported occasion
   Boundary: Audience labels do not prove inclusive fit, and occasion labels do not transfer between products.

PRODUCT RECORD
[PASTE ONE PRODUCT RECORD]

PRODUCT RECORD TEMPLATE
Write unknown for missing or undocumented facts.
Product title:
Product description as published:
Facts this category needs: inseam; waistband; pockets; rise and fit; fabric composition; care instructions; stretch; coverage; lining; fit
Care or usage guidance:
Documentation on hand:

RUN THE SIX-QUESTION PASS
1. Start with relevance. Audit all six questions separately. Check fit, fabric, construction, coverage, care, sizing, and imagery before using setting, activity, or benefit language.
2. Quote the facts used. Mark each connection Supported, Partially supported, or Reject.
3. Supported only: choose one evidence-backed angle around Everyday wear, Beach-day context, and Active summer outings, then write exactly four assets: Product page or FAQ; Facebook or Instagram; 30-to-45-second short video with shot plan; X post targeted to 240 characters and never over 280.
4. Attach exact facts used to every asset. Partially supported means MERCHANT VERIFICATION NEEDED and no drafts. Reject means explain the conflict and create no drafts.
5. Do not publish, schedule, or present any draft as approved.

CLAIM BOUNDARIES
- Use supplied product evidence for every claim; buyer examples are not measured demand.
- Treat counts and labels as dated evidence, not demand or performance.
- Check every product-specific fit, setting, season, audience, and benefit claim.
- Keep example questions out of structured product data unless they are attributes.

RETURN
Return one table with one row for each of the six questions above and these columns: Question; Decision (Supported, Partially supported, or Reject); Facts used (quoted from the product record); Missing facts; Drafts (all four for a Supported row, none otherwise); Asset status (Publish, Verify, Revise, or Reject for each draft). Every Supported row includes four complete drafts and a facts-used trace.