Shopify is adding llms.txt to millions of stores

Shopify stores have started showing a new file at /llms.txt.

It gives AI tools a clearer route into store information, including products, collections, search pages, policies and brand details.

Some stores also show a related file at /sitemap_agentic_discovery.xml, which can surface more URLs for AI discovery.

The scale is worth paying attention to. Shopify powers millions of ecommerce stores globally, which means this update could affect a large part of the ecommerce web.

If you run a Shopify store, check what these files show. They give you a quick view of how your store may be presented to AI systems, shopping agents and answer engines.

Here’s what Shopify appears to have added, how to check your own store, and which product, collection and content updates are worth prioritising.

What Shopify has added

llms.txt is a proposed way to give AI tools a clearer summary of a website.

For a Shopify store, it can point to:

• products
• collections
• search pages
• policies
• contact details
• brand information
• buying guides
• useful content

A sitemap helps crawlers find pages. llms.txt helps AI tools understand which pages are useful.

Some Shopify stores now show a native file at:

yourdomain.com/llms.txt

Some also show:

yourdomain.com/sitemap_agentic_discovery.xml

The output varies by store. Check your own rather than relying on examples from other brands.

Look at whether Shopify is pulling through the right store information, product links, collection links, policy pages and search routes.

Shopify hasn’t published full public documentation on this rollout yet. Treat it as something to audit, rather than something to make assumptions about.

Why this matters for Shopify stores

Customers are using AI tools to research products, compare options and shortlist brands with questions like:

• “Best UK skincare brands for sensitive skin”
• “Find a gift for someone who likes minimalist homeware”
• “Compare sustainable activewear brands under £100”
• “Which brands sell ceramic dinner sets in the UK?”
  

AI tools answer those questions using source material.

For Shopify stores, that source material can include product pages, collection pages, reviews, schema, feeds, policies, buying guides and files such as llms.txt.

The job is to make your store easier to understand.

That’s where answer engine optimisation comes in. It helps AI systems understand, cite and recommend your business.

What to check first

1. Check /llms.txt

Go to:

yourdomain.com/llms.txt

Look for:

• your store name
• store description
• product links
• collection links
• search links
• contact details
• currency
• policy links
• agent or developer notes

Ask whether the information is accurate, useful and representative of the store.

If the file exists and the information looks weak, the issue may come from your Shopify setup, product data, collections or theme output.

2. Check /sitemap_agentic_discovery.xml

Go to:

yourdomain.com/sitemap_agentic_discovery.xml

Look for:

• missing collections
• old products
• seasonal URLs
• duplicate pages
• weak blog content
• pages you wouldn’t want surfaced

Compare it with your normal sitemap and main navigation.

3. Review your most important pages

Start with the pages that affect revenue.

For most Shopify stores, that means:

• homepage
• top collection pages
• best-selling product pages
• delivery page
• returns page
• FAQs
• buying guides
• comparison pages
• review pages

Tilio’s guide on what pages to fix first for AI search explains how to prioritise the pages most likely to influence AI answers.

Start there before spending time on low-value blog posts.

4. Test how AI tools describe your brand

Run a small set of prompts in ChatGPT, Perplexity and Gemini.

Try:

What does [brand] sell?

Who is [brand] best for?

What are the best [category] brands in the UK?

Compare [brand] with [competitor].

Where can I buy [product type] from independent UK brands?

Track what comes back.

Look at:

• whether your brand appears
• whether your domain is cited
• which competitors appear
• whether the answer is accurate
• which pages are used as sources
• what information is missing

That’s the basis of AI visibility measurement: tracking mentions, citations, competitors and source pages across a repeatable set of prompts.

What to improve next

Product data

AI tools need clear product information. Customers do too.

Check your:

• product titles
• descriptions
• variants
• pricing
• availability
• metafields
• images
• alt text
• product type
• vendor fields
• structured data

Avoid product names that only make sense internally.

You can keep your brand tone. Add the plain-English detail alongside it.

Collection pages

Collection pages explain how your store is organised.

Good collection pages make it clear:

• what the range includes
• who it’s for
• how the products differ
• what customers should consider
• which related collections matter

A collection called “Core edit” might work for your brand.

“Men’s running shorts” is easier for customers and AI tools to understand.

Keep the brand-led naming if it matters, then add clear copy around it.

Schema and feeds

Your product information should be consistent across:

• Shopify product fields
• product page copy
• schema markup
• Google Merchant Centre
• product feeds
• collection pages
• FAQs

If one source says a product is in stock and another says it isn’t, that creates confusion.

The same applies to pricing, variants, product names and descriptions.

Buying guides

Create content that helps customers choose.

Good examples include:

• buying guides
• comparison pages
• size guides
• ingredient guides
• care guides
• gift guides
• “best for” pages
• FAQs based on real customer questions

This type of content matches how people use AI tools.

They often search by problem, use case, occasion or comparison, rather than by product name.

Trust pages

Make trust information easy to find.

Check your:

• delivery page
• returns page
• contact page
• about page
• reviews
• guarantees
• stockists
• accreditations

These pages help customers make decisions. They also give AI tools more context when summarising your business.

Need help checking your Shopify store?

Tilio helps Shopify-native brands deeply understand LLM visibility, citations, AI search performance, human referrals and AI-attributed revenue.

Start with an AI visibility audit, or look at our AEO agency service if you want ongoing support with AI visibility, citations and content.

You can also read more practical guides in the Tilio learning hub.