AI product search that reads your real WooCommerce catalog.
Most chatbots scrape your pages and guess. Storebird connects to WooCommerce and reads the actual catalog — variations, attributes, stock and price — so every recommendation is a product that genuinely matches. In any language, 24/7.
Real demo on a live WooCommerce store — the AI recommends a warm hoodie under $20 with the real product card, then confirms it also comes in black across S/M/L. No edits, no mockup.
Shoppers don’t search the way a keyword bot reads
Real questions are specific: "a warm hoodie under $20", "a black leather jacket in XL", "something vegan for sensitive skin". A keyword bot treats those as loose words — so it returns the wrong size, a sold-out variant, or nothing, and the sale slips away. Storebird reads the structured catalog behind the words, like the real demo above.
Keyword / scraping bot
Matches loose words on a page → surfaces the wrong size, an out-of-stock variant, or a near-miss. The shopper bounces and you never see the lost sale.
With Storebird
Reads colour, material, size, stock and price from your catalog → recommends the real, in-stock match and explains why it fits. The shopper buys with confidence.
How does the WooCommerce AI product search work?
Four steps. You can watch every one of them in the demo above — connect, read the structure, filter and rank, recommend.
You connect WooCommerce
Install the free plugin and connect. Storebird syncs your products, variations, attributes, categories, tags, stock and price — the structured catalog you already maintain, not a scraped HTML page.
It reads products as structure
Storebird understands each product the way WooCommerce stores it: this is a size, that is a colour, this is a material, this custom taxonomy means "vegan". It sees the data behind the words, not loose keywords.
It filters, then ranks
When a shopper asks for something specific, Storebird filters on the real attributes first and then ranks the genuine matches by relevance. An exact SKU or article code wins outright.
It recommends like a product expert
It explains why a product fits, respects live stock and price, offers items that go with it, and guides a hesitant shopper to a confident buy — the way a good salesperson would on the floor.
Same brain on chat, WhatsApp and email — a product question by email gets the same catalog-accurate answer.
Catalog-accurate vs page-scraping
Most "AI" product search scrapes your pages and guesses. Storebird is connected to your live WooCommerce, so it knows. The difference shows up the moment a shopper asks something specific.
- Treats "XL" and "leather" as loose keywords
- Surfaces out-of-stock or wrong-variant products
- Breaks when your theme or page layout changes
- Needs Zapier or custom work to know real stock
- Maps "XL" to a size variation, "leather" to a material attribute
- Only recommends in-stock, correct variants
- Works from WooCommerce data, not fragile HTML
- Knows real stock, price and variations natively
What makes the match trustworthy
Every one of these is how Storebird actually works under the hood — not a marketing promise.
Variation-aware, not keyword-aware
A "black leather jacket in XL" is read as colour + material + size, not three loose words. Storebird groups variations under the parent product and knows which colour and size actually exist — exactly like the demo above.
Filters before it ranks
When a request carries hard constraints, Storebird filters on your structured attributes first, then ranks the real matches by relevance. It surfaces the products that qualify — not the ones that merely share a word.
Live stock and price — no sold-out surprises
It reads live stock status and price, so it will not present a sold-out variant as available or quote the wrong price. When the exact item is out of stock, it offers in-stock alternatives from the same category.
Your taxonomies, tags and synonyms
Custom taxonomies ("vegan", brand), product tags and normalised product types all count. So "horloge" finds your "Casio G-Shock", and a "vegan" filter maps to the taxonomy you set — the richer your WooCommerce data, the sharper the match.
Exact SKU or article code wins
A shopper who pastes an exact SKU or article code gets that product directly. An exact identifier is a stronger signal of intent than any inferred constraint, so it bypasses the soft filters.
Every language
Product questions come in every language. Storebird answers "do you have this in XL?" in the shopper’s own language, WPML-compatible, using the same catalog data.
Live on your store in three steps
- 1
Connect WooCommerce
Install the free plugin and connect — a 5-minute, click-through setup. Your keys stay on your store.
- 2
Storebird syncs your catalog
Products, variations, attributes, categories, stock and price index for search in minutes — the structured catalog, not scraped pages.
- 3
Ask for a real product
Type "a warm hoodie under $20" or "black leather jacket in XL" and watch it recommend the real, in-stock match with the product card — exactly like the demo above.
The questions store owners ask first
Does it read my real catalog?
Yes — products, variations, attributes, stock and price sync from WooCommerce, the source of truth.
Will it push sold-out items?
No. It reads live stock and offers in-stock alternatives when the exact item is gone.
Does it handle variations?
Yes — colour, size and material are read as structure, so "XL in black" resolves to the real variant.
Do my keys leave my store?
No. Storebird syncs your catalog with your store keys; your data stays with you.
The AI store owners say actually understands their products
The product search here is the same WooCommerce brain running in Storebird chat today — on real stores, at real catalog scale. Reviews are public on WordPress.org.
"It synced my entire product catalog (1,200+ products) within minutes. Now customers can ask things like “Do you have waterproof jackets under €80?” and actually get accurate product recommendations."
15,000+ products"It's not just a chatbot, but a well-trained assistant that really thinks along and actively helps resolve customer questions. And doing that in a store with more than 15,000 products — that's genuinely impressive."
One product brain, every channel
The same catalog-accurate recommendation works wherever your customer asks.
Core to every Storebird plan
Catalog-accurate product search and recommendations come with every plan, from Essential at €39/mo. Your 14-day Pro trial is the door to it — no credit card to start.
WooCommerce AI product search — FAQ
How is this different from a keyword search or a scraping chatbot?
A scraping chatbot reads the text on your pages and guesses — so "XL" and "leather" become loose keywords and it breaks when your theme changes. Storebird connects to WooCommerce and reads the actual catalog: variations, attributes, categories, tags, stock and price. It matches on what a product is, not on words that happen to appear near each other.
Does it understand product variations — size, colour, material?
Yes. Storebird groups variations under the parent product and reads their attributes, so "a black leather jacket in XL" is understood as colour: black, material: leather, size: XL. In the demo above it recommends the Yellow Hoodie, then correctly confirms it also comes in black across small, medium and large — from the real catalog.
Will it recommend out-of-stock products?
No. It reads live stock status, so it will not present a sold-out variant as if it is available. When the specific item a shopper wants is out of stock, Storebird offers in-stock alternatives from the same category so you still make the sale.
Does it read my prices and sale prices correctly?
Yes. Price and sale price are read from the live catalog, so a "under $20" request returns products that genuinely qualify at their current price — the demo finds the Yellow Hoodie on sale at $16, under the shopper’s budget.
Does it work with my custom attributes and taxonomies, like "vegan" or brand?
Yes. Storebird scores custom taxonomies, product tags and normalised product types alongside name and category, so filters like "vegan" or a brand name are matched against the taxonomy you already set in WooCommerce. The more structure your catalog carries, the more precisely it matches.
Can shoppers search by SKU or article code?
Yes. An exact SKU or article-code match is treated as the strongest possible intent signal and returns that product directly, bypassing the softer attribute filters.
Can it recommend products that go with the one a shopper is viewing?
Yes. On a product page, "what goes with this?" is answered by seeding the search from the product being viewed and returning complementary items — never re-suggesting the item they are already looking at.
Which plan includes AI product search?
AI product search and recommendations are core to Storebird and included on every plan, from Essential at €39/mo. Your 14-day Pro trial is the fastest way to try it on your own catalog — connect your store and ask for a real product in minutes.
Recommend the right product before a shopper bounces
Connect WooCommerce in 5 minutes and ask for a real product. Chat, WhatsApp and email — one AI brain, your live catalog data.