# AI product search: help shoppers find the right product in WooCommerce

> Keyword search fails when shoppers describe what they want in their own words. Here is how conversational product search and recommendations work in Aisk.

- URL: https://aisk.chat/blog/ai-product-recommendations-woocommerce/
- Published: 2026-04-08
- Category: WooCommerce
- Author: Aisk Team (Aisk.chat)

## Quick answer

Aisk adds conversational product search to WooCommerce: shoppers describe what they want in their own words and Aisk searches by description, color, size and category, returning product cards with images, prices and purchase links. Better descriptions and consistent attributes improve results.

A shopper types *"something warm for hiking, not too bulky"* into your store search. Keyword search looks for products containing those exact words — and returns nothing. The shopper leaves.

Conversational product search fixes that gap.

## How Aisk searches your catalog

Aisk understands what the customer means, not just what they typed. It can search WooCommerce products by:

- **Description** — "a light jacket for rainy weather"
- **Color** — "the blue one"
- **Size** — "in medium"
- **Category** — "show me your backpacks"

Results come back as **product cards with images, prices and a purchase link**, so the customer can go from question to checkout in one step.

## Recommendations that follow the conversation

Because Aisk keeps the context of the chat, customers can refine results naturally: *"Do you have that in black?"* or *"Anything cheaper?"* Recommendations also take the customer's browsing history into account, so suggestions stay relevant.

## Replies in the customer's language

Since version 2.7, product search replies match the language the customer writes in, with the correct currency symbol. A shopper writing in Italian gets an Italian answer.

## Make your products easier to find

The assistant can only recommend what it can understand. A few small changes go a long way:

1. **Write real descriptions.** Mention materials, fit, use cases and who it's for.
2. **Use attributes consistently.** Color and size attributes should be set on every variable product.
3. **Organize categories** the way customers think about your products.
4. **Regenerate embeddings** after adding or editing products.

## Answer the questions that block a sale

Shoppers hesitate on questions like *"Is this machine-washable?"* or *"Will it arrive before Friday?"* Because Aisk also knows your pages, FAQs and policies, it can answer those in the same conversation — while the product is still in front of them.

## Frequently asked questions

### How is AI product search different from keyword search?

Keyword search matches exact words, so “something warm for hiking” can return nothing. Aisk understands what the shopper means and searches by description, color, size and category.

### Can shoppers refine results in the chat?

Yes. Aisk keeps the conversation context, so shoppers can ask follow-ups like “Do you have that in black?” or “Anything cheaper?”.

### How do I improve AI product recommendations?

Write real product descriptions, set color and size attributes consistently, organize categories the way customers think, and regenerate embeddings after changing products.