How to Tell ChatGPT About Your Store (And All 1,000+ Products)

What if your store had its own AI — one that knows every product you sell, understands what customers mean, and finds the right item in seconds?

Not a chatbot. Not a popup. Just a search bar that works the way customers actually think.

A customer types "moisturizer for sensitive skin, fragrance-free, under $30" — and your store finds exactly that product. No zero results. No guessing. The customer doesn't even know it's AI. It just works.

That's what Shopify tried to build with ChatGPT. It's what Queryra does — for any store, on any platform, in minutes.

On March 24, 2026, Shopify launched "Agentic Storefronts" — an integration that makes every Shopify merchant's products discoverable inside ChatGPT. A customer asks ChatGPT for a product recommendation, ChatGPT searches Shopify's global catalog, and shows results from across all Shopify stores.

It's a powerful distribution channel. Over a million merchants, visible to 700 million weekly ChatGPT users.

But there's a fundamental limit: ChatGPT searches across all Shopify stores at once. Your product competes with every similar item from every other merchant. ChatGPT picks what it thinks is most relevant — not what's most relevant to YOUR store and YOUR customers.

And when the customer arrives at your store and searches for something specific? They're still using your default search bar. Shopify's ChatGPT integration brought them to you. Your store still has to close the sale.

This is the problem both Shopify and WooCommerce store owners share — and it's the problem Queryra solves.

Most articles about AI and e-commerce focus on one problem: getting your store discovered by AI. That's real — and we'll cover it below.

But the second problem is bigger: what happens when the customer arrives.

They type "wireless headphones under $60, not Sony" into your search bar. Default search returns zero results. It can't handle a price filter in natural language. It doesn't understand brand exclusions. The customer leaves.

You optimized the top of the funnel. The bottom is still broken.

The full picture looks like this:

1. ChatGPT discovers your store — and sends customers with purchase intent
2. Your store's AI closes the sale — by understanding what those customers are looking for

Step 1 is about llms.txt and schema. Step 2 is about Queryra.

This works for both Shopify and WooCommerce stores.

Create an llms.txt file at yourstore.com/llms.txt. AI crawlers — including ChatGPT-User bot — read this file to understand what your site is about:

# YourStore
> [What you sell, in one sentence]

## About
YourStore sells [product category] for [customer type].
[Your differentiator.]

## Product Categories
- [Category 1]: https://yourstore.com/category/cat-1/
- [Category 2]: https://yourstore.com/category/cat-2/

## Search
This store has AI-powered semantic search.
Search understands natural language, price filters, and brand preferences.
Search endpoint: https://yourstore.com/?s={query}&post_type=product

## Key Pages
- Shop: https://yourstore.com/shop/
- Contact: https://yourstore.com/contact/

Add schema.org markup to your product pages. For WooCommerce, Rank Math or Yoast handle this automatically. For Shopify, most themes include it already — check that price, availability, sku, and brand are populated.

The search section in llms.txt is the most important addition. It tells AI crawlers that your store can be queried — not just browsed. Bots and shopping assistants can search your catalog on behalf of users.

Here's the constraint that no one talks about.

You can describe your store in llms.txt. You can list your categories. But you cannot list 1,000 products. It would be too large to crawl, impossible to keep current, and AI crawlers wouldn't process it anyway.

Shopify solves this with their global catalog — they syndicate structured product data directly to ChatGPT from all merchants at once.

But that still leaves the same gap: ChatGPT knows your products exist. It doesn't have a deep, specific, up-to-date understanding of your catalog the way a dedicated AI trained on your store does.

And more importantly: neither Shopify's integration nor your llms.txt helps the customer who is already on your store, searching.

That's where the second piece comes in.

Queryra is not a chatbot. It's a search bar — the same search bar your store already has. The customer types. The AI finds. They never know it's AI. It just works.

The difference from default search: Queryra is trained on your specific catalog. Not on all Shopify stores. Not on the internet. Only on the products you sell.

When you install Queryra and sync your products, the AI builds a complete understanding of your catalog — in minutes, not days. You click Sync, and within minutes every product is indexed and ready.

From that moment:

• "moisturizer for sensitive skin, fragrance-free" → finds your exact product, even if its title is "Velora Calm & Repair Balm"
• "gift for someone who loves cooking" → finds kitchen tools, aprons, recipe books from your store
• "wireless headphones under $60, not Sony" → applies the price filter and excludes the brand — automatically
• "крем для лица" (Russian for "face cream") → finds your face creams, even if your store is in English

The customer doesn't configure anything. They don't know they're using AI. They just find what they're looking for.

This is what Shopify tried to build with ChatGPT — an AI that understands what customers want and connects them with the right product. The difference: Queryra does it inside your own store, with only your products, and it works immediately.

When both pieces are in place, the funnel looks like this:

ChatGPT — the general AI — discovers your store through llms.txt and schema. It tells shoppers that your store exists and sends them to you.

Queryra — your store's AI — knows only your products. When those shoppers arrive and search, it finds exactly what they're looking for.

General AI for discovery. Your own AI for conversion.

Shopify's Agentic Storefronts focus on the discovery part — they're very good at it. But the conversion part is still your problem. Queryra solves the conversion part — for Shopify stores, WooCommerce stores, or any platform.

Try it yourself on a live store → — search "something warm for winter" or "gift for mom who loves candles" and see an AI that knows only one catalog respond instantly.

For discovery (20 minutes, works for both Shopify and WooCommerce):
- Create yourstore.com/llms.txt with store description, categories, and search endpoint
- Confirm Product schema is enabled on product pages
- Add Organization schema to your homepage

For conversion (5 minutes, WooCommerce):
- Install Queryra from WordPress.org
- Connect your API key
- Click Sync — your products are indexed in minutes
- Update llms.txt to include your AI search endpoint

For conversion (Shopify):
- Install Queryra via the Shopify app
- Connect your API key
- Products sync automatically in real time

The first list makes ChatGPT aware of your store. The second list makes sure every customer who arrives — from ChatGPT or anywhere else — can find what they're looking for.