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WooCommerce Chatbot: Product Recommendations in Conversation - AIWU – AI Plugin for WordPress
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WooCommerce Chatbot: Product Recommendations in Conversation

Connect your WooCommerce product catalog to your AIWU chatbot and it becomes a product recommendation engine. Visitors describe what they need — “I’m looking for running shoes under $80 for flat feet” — and the chatbot finds and recommends matching products from your actual store.


Before You Start

You’ll need:

  • WooCommerce installed with products added
  • A working AIWU chatbot (Set Up First Chatbot guide)
  • Time needed: ~10 minutes
  • Plan required: Free (basic) · Pro (advanced filters and bulk catalog sync)

What this unlocks:

  • Chatbot that searches your actual product catalog
  • Answers like “Do you have X?” with real availability and prices
  • Natural-language product search (“show me winter jackets under $100”)
  • Cross-sell and upsell suggestions in conversation

Step 1: Open Your Chatbot Settings

Go to WordPress Admin → AI Copilot → AI ChatBots. Click on your chatbot to open its settings.


Step 2: Enable WooCommerce Integration

Go to the WooCommerce tab (or Integrations tab, depending on your version).

Enable WooCommerce Product Search. This allows the chatbot to search and reference products from your catalog when answering questions.

Configure these settings:

Setting Recommended Value What it does
Product Search Enabled Lets the AI search your product catalog
Max Results 3–5 Max products shown per recommendation
Show Prices Enabled AI includes product prices in responses
Show Stock Status Enabled AI only recommends in-stock products
Show Product Images Enabled (if available) Product thumbnails appear in chat
Include Categories Leave empty = all categories Restrict which product categories the AI can recommend

Step 3: Update Your Chatbot Instructions

Go to the Context tab and update the chatbot instructions to tell the AI it has access to your product catalog:

You are a helpful shopping assistant for [Your Store Name]. You have access to our product catalog. When customers ask about products, search the catalog and recommend relevant options with prices. If a customer describes what they're looking for (budget, use case, features), find the best matching products. Be friendly and specific — always mention the product name, price, and key feature that makes it a good match for their needs.


Step 4: Save and Test

Click Save Changes. Open your store in an incognito window and test with natural language queries:

  • “Do you have any blue running shoes?”
  • “I need a gift for under $50”
  • “What’s the cheapest
    you have?”
  • “Show me your best-selling [category]”
✅ Getting real product recommendations with prices? Your chatbot is now connected to your store. Every visitor can find products through conversation, not just search.

Advanced: Sync Large Catalogs with Embeddings

For stores with 50+ products, connecting WooCommerce via real-time search works well. For stores with 500+ products, using Embeddings for the product catalog gives more accurate results because the AI can understand product descriptions semantically, not just by keyword matching.

To use embeddings with your product catalog:

  1. Go to AI Training → Create Dataset
  2. Use the WooCommerce Import option to import all product data automatically
  3. Generate embeddings
  4. Connect the dataset to your chatbot (alongside WooCommerce integration)

See Embeddings guide for full details.


Common Issues

Problem: “Chatbot says ‘I don’t have product information’ even with WooCommerce enabled.”
Fix: Make sure WooCommerce Product Search is enabled AND saved (Step 2). Check that your chatbot instructions mention product search. Test with a product name you know exists.

Problem: “AI recommends out-of-stock products.”
Fix: Enable Show Stock Status in Step 2, and add to your instructions: “Only recommend products that are currently in stock.”

Problem: “Only some products appear in recommendations.”
Fix: Make sure products are published (not draft). Check the Include Categories setting — if specific categories are selected, others are excluded. For large catalogs, switch to the embeddings approach above.


What’s Next


Last verified: AIWU v.4.9.2 · Updated: 2026-02-25

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