AI Search on a Real WooCommerce Store — Live Demo

We can talk about semantic search all day. But nothing beats trying it yourself.

woo.queryra.com is a real WooCommerce skincare store running the Queryra WordPress plugin — the same plugin you install from WordPress.org. Same setup, same AI, same 5-minute installation. The only difference is we loaded it with 221 skincare products so you can see exactly how semantic search handles real e-commerce queries — the messy, conversational way real customers actually type.

Go to woo.queryra.com and try these. None of these phrases appear in any product title — yet each one finds the right products.

Describe a problem

"I keep breaking out, what can help?" → Cocolo Acne Control Spot Treatment, Cocolo Acne Care Set, Pūra Tea Tree Spot Gel.

"my skin looks tired" → night-repair creams, recovery oils, and eye creams.

"my face gets oily by midday" → oil-control moisturizers and mattifying products.

"I want my skin to glow" → brightening serums, vitamin C, and radiance creams.

Shop for someone

"a present for my girlfriend" → gift sets, discovery kits, and fragrance boxes.

"a gift for my mum who loves candles" → Maison Blanc signature candles and home-fragrance sets.

Filter by price, in plain words

"a good moisturizer under £40" → only moisturizers priced under £40.

"cheap shampoo" → shampoos, with the budget-friendly ones surfaced first.

"best value anti-aging set" → Cocolo and Velora anti-aging sets.

Exclude what you don't want

"a moisturizer that isn't greasy" → light, oil-control formulas instead of the rich ones.

Search in any language

"krem do twarzy" (Polish) and "crème pour le visage" (French) → the same English-language face creams, every time. The store is in English; your customers don't have to be.

When you search on the demo store, you're not getting fancier keyword matching — you're getting search that understands what you mean.

You type a query in the standard WooCommerce search bar, in plain language. Queryra reads the intent behind it — the problem you're describing, who you're shopping for, the price you mentioned, the thing you want to avoid, even the language you typed in — and returns products by meaning, not by literal word overlap. It usually takes a second or two.

Everything else is standard WooCommerce. The search bar, results layout, product cards, and pagination are all your theme. Queryra only changes which products appear, and in what order.

The real eye-opener is comparing these results against your own store's search. Go to your WooCommerce store and try:

1. Search for a product using natural language — not its name, but a description of who it's for or what it does
2. Search with a common misspelling
3. Search with a color + category combination ("blue dress", "red shoes")
4. Search describing a use case ("for a wedding", "for the gym")
5. Search like a gift buyer ("gift for dad", "present for a friend")

If three or more return zero results or irrelevant products, your search is losing you sales every day. These are real customers with purchase intent who leave your store empty-handed.

The demo store at woo.queryra.com uses the exact same Queryra WordPress plugin available on WordPress.org. No custom code, no special configuration, no developer setup.

The installation was:
1. Install WooCommerce + a standard theme
2. Add 221 skincare products
3. Install Queryra plugin from WordPress.org
4. Enter API key, click Sync
5. Done — AI search is live

That's the same process you'd follow on your store. Five minutes from install to working semantic search.

If you want to try it on your own products, the 14-day free trial includes 100 records — enough to test whether semantic search makes a difference for your catalog.

The demo uses skincare products, but Queryra works with any WooCommerce catalog. The AI learns from whatever products you sync — electronics, clothing, food, furniture, books, or anything else.

The semantic understanding adapts to your catalog. If you sell tools, "something for fixing a leaky pipe" will find plumbing tools. If you sell clothing, "outfit for a job interview" will find business attire. The AI doesn't have preset categories — it learns from your specific product titles and descriptions.

Queryra also works beyond WooCommerce. Our REST API powers semantic search for any content — see our Wikipedia demo with 3,000+ articles and FAQ demo for customer support use cases.