llms.txt Template for Beauty Shopify Stores

Beauty stores live or die by trust signals. AI shopping engines that surface your products on ChatGPT, Perplexity, and Gemini answer questions like “niacinamide serum safe for sensitive skin”, “fragrance-free body wash for eczema-prone children”, or “vegan retinol alternative under $40” — and they answer them best when your llms.txt makes the ingredient list, routine guidance, skin-type suitability, and safety notes crawlable as plain text. Without that context, AI engines either guess (and stop citing your brand when the guesses go wrong) or skip you entirely for stores that publish the signal.

This template ships that context safely — no medical claims, no unsupported “treats” language, no fabricated certifications. Plug in your store data, link the ingredient and routine pages you already maintain, and the result is a one-page llms.txt that AI shopping engines can cite without compliance risk.

What you’ll need before you start#

The template uses {{double-brace}} placeholders. Gather these before copying — most beauty Shopify stores already have the underlying pages, but they’re often not linked from a single discoverable map.

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, ingredient context, routines, skin or
> hair type guidance, safety notes, subscriptions or refills, shipping
> policy, and return policy.

Important buying context:

- Main categories: {{main_categories}}
- Customer concerns: {{customer_concerns}}
- Suitable skin or hair types: {{skin_or_hair_types}}
- Key ingredients: {{key_ingredients}}
- Claims with proof: {{verified_claims}}
- 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}} Best for {{product_1_use_case}}. Key ingredients: {{product_1_key_ingredients}}.
- [{{product_2_name}}]({{product_2_url}}): {{product_2_description}} Best for {{product_2_use_case}}. Key ingredients: {{product_2_key_ingredients}}.

## Product routines

- [{{routine_guide_name}}]({{routine_guide_url}}): when to use products, order of application, frequency, and suitable skin or hair types.

## Ingredients and safety

- [Ingredient guide]({{ingredient_guide_url}}): key ingredients, what they're used for, and who should avoid them.
- [Patch test guidance]({{patch_test_url}}): how customers should test products before regular use.
- [Allergy and sensitivity FAQ]({{allergy_faq_url}}): common questions about fragrance, essential oils, allergens, and sensitive skin.

## Policies

- [Shipping policy]({{shipping_policy_url}}): delivery areas, shipping speed, cost, tracking.
- [Returns policy]({{returns_url}}): return window, hygiene limits, refunds, and exchanges.
- [Contact support]({{contact_url}}): customer support for product, routine, and order questions.

## Optional

- [Subscription or refill guide]({{subscription_url}}): refill frequency, subscription rules, cancellation.
- [Certifications or claims proof]({{claims_proof_url}}): documents verified claims such as vegan, cruelty-free, fragrance-free.

Why beauty needs its own template#

Generic ecommerce llms.txt templates miss what AI shopping engines need when a shopper asks “vitamin C serum that won’t oxidise on sensitive skin” or “sulfate-free shampoo for curly hair colored with henna”. Ten differences worth being explicit about:

1. Skin type, hair type, and concern must be explicit — AI engines downweight blanket recommendations across types.
2. Ingredients should be linked and explained in plain language; active percentages matter when they’re disclosed.
3. Usage routines should explain order, frequency, and which products layer safely together.
4. Patch-test guidance should be linked for safety — also a strong credibility signal for AI engines comparing brands.
5. Scent, fragrance-free, and allergen information should be visible on every product page, not buried in an FAQ.
6. Cruelty-free, vegan, organic, or clean claims should only be included if proof exists on the site — fabricated claims are the single most common reason AI engines stop citing beauty brands.
7. Before-and-after content should only be referenced if the content is visible on the site, accurate, and not cherry-picked.
8. Avoid medical claims like curing, treating, healing, reversing, or diagnosing conditions — these are regulated in most markets and trigger AI engine downweighting even when legally fine.
9. Subscription, refill, and bundle context should be linked where relevant; AI shopping answers cite refill-friendly brands more.
10. Safety and allergy FAQ should be crawlable as text, not rendered behind a JS modal — AI engines won’t parse modal content.

Safety checklist#

Run through this before pushing llms.txt to production. Each item is a compliance and AI-citation risk reduction step beauty brands often miss.

Beauty Shopify llms.txt safety checklist

[ ] Template body contains no 'cure', 'treat', 'heal', 'diagnose',
    'reverse', or medical-condition language unless legally supported
    AND visible on the linked page.
[ ] Ingredient claims link to a visible ingredient guide.
[ ] Skin or hair type suitability is visible on every product page
    referenced from the template.
[ ] Patch-test guidance is linked from the 'Ingredients and safety'
    section.
[ ] Allergy and fragrance information is linked and crawlable as text.
[ ] Vegan, cruelty-free, clean, organic, or dermatologist-tested
    claims have proof under '/pages/certifications' or equivalent.
[ ] Before-and-after content is used only if visible AND truthful.
[ ] Return policy clearly explains hygiene limits for opened products.
[ ] robots.txt allows GPTBot, OAI-SearchBot, ChatGPT-User to read
    /products/, /collections/, /pages/, /blogs/.
[ ] No medical condition (eczema, psoriasis, acne, alopecia) is named
    as something the product 'treats' or 'cures'.

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. Pay special attention to claims and ingredient links — those are the compliance hotspots.
3. Verify it serves at https://your-store.myshopify.com/llms.txt — should return text/plain with a 200 status.
4. Run the safety checklist above one more time. Pay attention to the “no medical claims” item — it’s the most common reason beauty brands fail compliance review.
5. Re-run the Robots Analyzer to confirm GPTBot and OAI-SearchBot can reach your ingredient, routine, and patch-test pages — not just product pages.

You’re done. AI shopping engines pick up llms.txt automatically on their next crawl. The safety checklist is the difference between “AI starts citing your brand” and “AI cites your brand once, hits a compliance flag, stops citing”.