AI readiness for fashion and apparel stores

A shopper on a phone, mid-scroll, mid-doubt about size and returns.

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The moment

Yusuf, who runs an independent menswear label

A shopper asks an assistant to find a navy linen shirt under £90 that is in stock in medium and can arrive before Friday.

What the agent needs: Price, size availability, delivery cut-off and the returns window.

What actually happens: Variant availability is only resolved by JavaScript, the size guide is an image, and the returns policy lives in a collapsed accordion that never renders in the fetched HTML. The assistant recommends a marketplace listing of the same shirt.

Which dimensions decide it, and why

AIScan grades five dimensions. These are the ones that carry the outcome for this kind of business.

Commerce

Product, Offer and availability data is the entire query. Without price and stock in the served markup an agent cannot rank you against anything.

Content

Size guides, fabric and care details are the specifics that win the comparison, and they are the parts most often shipped as images or accordions.

Discoverability

Large catalogues need a sitemap that actually includes variants and collections; otherwise most of the store is unreachable in the couple of fetches an agent makes.

The checks that matter here

Fix guides: /docs/checks/commerce · /docs/platforms/shopify · /docs/checks/content

Most sites like this run on Shopify — read the Shopify playbook for where each fix lives.

Questions we get asked

Do agents actually buy clothes?

Mostly they shortlist and hand back a link, but the shortlist is built from structured product data. No data, no shortlist.

My theme already outputs Product schema. Am I done?

Check whether it includes price, currency and availability per variant. Many themes emit the parent product only, which reads as 'price unknown'.

Why does the returns policy matter to a machine?

Because it is a common qualifier in the question — 'that I can return free'. An unreadable policy means you get filtered out of a qualified query.

Is a size-guide image really a problem?

Yes, and it is one of the most common causes of a wrong-size return. Publish the table as HTML.

Should I add llms.txt to a store?

It is useful for pointing at collections and policies, but structured product data comes first. See check C2 after M4.

How do I check my own store?

Run `npx aiscan-cli yourstore.com` or paste the URL at aiscan.site — free, no account.

Scan your site and see where you actually stand

Free, no account, about twenty seconds. The report names every failing check by ID, shows the evidence we found, and gives the fix for your platform — plus a hand-off prompt you can paste straight into Claude Code or Cursor.

Run a free scan npx aiscan-cli yoursite.com

Prefer to read first? Browse every check we run or the guide library.

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Also covers: clothing store, apparel brand, menswear, womenswear, boutique, streetwear, shoe shop, accessories brand, jewellery shop, lingerie brand, activewear, kidswear, vintage clothing, sustainable fashion, online clothing shop.