llms.txt Template for Fashion Shopify Stores

Fashion stores sell context, not catalogs. AI shopping engines that surface your products on ChatGPT, Perplexity, and Gemini answer questions like “linen shirt that runs true to size”, “machine-washable dresses under $80”, or “vegan leather alternatives in EU sizes” — and they answer them best when your llms.txt makes the fit, fabric, sizing, and policy context crawlable as plain text, not buried in JS-rendered modals.

This template ships that context. Plug in your store name, top collections, size guide URL, and policy links. The result is a one-page llms.txt that any AI crawler can read end-to-end in seconds.

What you’ll need before you start#

The template uses {{double-brace}} placeholders for each input. Gather these before you copy:

The template#

Copy this verbatim, replace the placeholders, and save it as llms.txt in your Shopify theme.

# {{store_name}}

> {{store_name}} sells {{primary_category}} for {{target_customer}}.
> Understood through products, collections, size and fit guidance,
> material details, care instructions, shipping policy, and return policy.

Important buying context:

- Main categories: {{main_categories}}
- Size range: {{size_range}}
- Fit notes: {{fit_notes}}
- Materials: {{materials}}
- Shipping markets: {{shipping_markets}}
- Return policy summary: {{return_policy_summary}}

## Priority collections

- [{{collection_1_name}}]({{collection_1_url}}): {{collection_1_description}}
- [{{collection_2_name}}]({{collection_2_url}}): {{collection_2_description}}
- [{{collection_3_name}}]({{collection_3_url}}): {{collection_3_description}}

## Priority products

- [{{product_1_name}}]({{product_1_url}}): {{product_1_description}} Available in {{product_1_variants}}. Best for {{product_1_use_case}}.
- [{{product_2_name}}]({{product_2_url}}): {{product_2_description}} Available in {{product_2_variants}}. Best for {{product_2_use_case}}.

## Fit, sizing, and materials

- [Size guide]({{size_guide_url}}): sizing, measurements, fit notes, conversion guidance.
- [Fabric and care guide]({{care_guide_url}}): materials, wash instructions, durability.
- [Fit FAQ]({{fit_faq_url}}): buyer questions about fit, stretch, length, and returns.

## Policies

- [Shipping policy]({{shipping_policy_url}}): delivery areas, shipping speed, cost, tracking.
- [Returns and exchanges]({{returns_url}}): return window, exchange rules, sizing issues, refund process.
- [Contact]({{contact_url}}): customer support for sizing and order questions.

## Optional

- [Seasonal lookbook]({{lookbook_url}}): styling ideas and collection context.
- [Gift guide]({{gift_guide_url}}): buyer guidance for gifts and occasions.

Why fashion needs its own template#

Generic ecommerce llms.txt templates miss what AI shopping engines look for when a shopper asks “linen shirt that fits a 5’7 frame” or “machine- washable midi dress under $100”. Ten differences worth being explicit about:

1. Size, color, and material variants need to be explicit so AI doesn’t recommend a sold-out variant.
2. Fit guidance — relaxed / cropped / oversized — distinguishes products from generic alternatives.
3. Size charts and conversion guides matter because AI answers compare US, EU, UK, and AU sizing.
4. Fabric and care instructions help AI distinguish product quality and use cases (linen-cotton blend vs synthetic).
5. Model measurements help buyers infer fit; surface them on product pages and link them from the content map.
6. Seasonal collections need curated descriptions, not just product grids. AI engines crawl prose, not gallery scripts.
7. Return and exchange policy is essential — sizing risk is the biggest deterrent in apparel shopping.
8. Shipping time and markets should be linked because AI agents answer location-aware questions.
9. Product availability for popular variants needs to be visible on the page, not behind a JS-rendered cart widget.
10. Collection-level buying guides explain style, occasion, and weather use cases — AI shopping engines cite these heavily.

Validate before you ship#

Run through this checklist before pushing llms.txt live in your Shopify theme. Each item maps to a buyer question AI shopping engines ask on your behalf.

Fashion Shopify llms.txt validation checklist

[ ] H1 is the store name (not a generic placeholder).
[ ] Summary explains the store category and buyer type.
[ ] Top collections use real /collections/<handle> URLs.
[ ] Top products include variant, fit, and use-case context.
[ ] Size guide URL resolves and is crawlable.
[ ] Fabric and care guide URL resolves and is crawlable.
[ ] Return policy URL resolves and explains sizing-issue exchanges.
[ ] Shipping policy URL resolves and lists actual markets.
[ ] Optional lookbook / gift guide only included if updated regularly.
[ ] robots.txt allows GPTBot, OAI-SearchBot, ChatGPT-User to read
    /products/, /collections/, /blogs/.

Install in Shopify#

1. Save the template as llms.txt at the root of your theme via Online Store → Themes → Edit code → Add a new asset.
2. Replace each {{placeholder}} with your real store value.
3. Verify it serves at https://your-store.myshopify.com/llms.txt — should return text/plain with a 200 status.
4. Run the validation checklist above one more time.
5. Re-run the Robots Analyzer to confirm GPTBot and OAI-SearchBot can reach your public content.

You’re done. AI shopping engines pick up llms.txt automatically on their next crawl — there’s no submission step.