Why your store search says “no results” when you have the product

A shopper types “comfy shoes for jogging” into your store's search box. You sell three pairs of running shoes. The search page says No products were found matching your selection.

Nothing is broken. Default store search is doing exactly what it was built to do: look for the words the shopper typed in your product titles and descriptions. None of your products say “comfy” or “jogging”, so none of them match.

Keyword search matches words

Most store search, including the search built into WooCommerce, is keyword search. It works well when shoppers use the same words you used when you listed the product. It struggles with everything else:

• Synonyms. “Sofa” doesn't match a product called “couch”.
• Natural phrases. “Something warm for winter hikes” matches no title at all.
• Descriptions of a need. “Gift for a coffee lover” is a perfectly clear request that contains no product name.
• Typos. “Sneekers” finds nothing.

Every one of those searches comes from someone who wants to buy something. A zero-result page tells them you don't have it.

Semantic search matches meaning

Semantic search uses a language model to turn text into a vector: a list of numbers that places the text at a point in a space with many axes. Texts with similar meaning land near each other. “Comfy shoes for jogging” lands near “cushioned running shoe”, even though they share no words.

To search a store this way, each product's name, description, categories and attributes are turned into a vector once, when the product is saved. Each search query is turned into a vector when the shopper types it, and the search returns the products closest to it.

The result is search that behaves more like a helpful shop assistant: it understands what the shopper is asking for, not just how they spelled it.

What to look for in a semantic search plugin

If you're evaluating semantic search for your store, a few questions are worth asking:

1. Does it stay in sync? Prices, stock and new products should reach search within seconds, not on a nightly job.
2. Does it work with my theme? It should attach to your existing search box, and your normal search should keep working if the service is ever down.
3. What data leaves my site? Search needs your product data. It shouldn't need your customer or order data.
4. What does it cost as my catalog grows? Pricing should be predictable.

We're building VectorShopper for WooCommerce around exactly those answers. It launches in November 2026, in time for Black Friday.