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AI Product Recommendation Chatbot for Your Website

Help shoppers narrow their options, compare features, and find products that fit their needs and budget with a direct path to the product page.
Visitor unsure where to start; AI Chatbot offers services, prices and help choosing

What is an AI product recommendation chatbot?

An AI product recommendation chatbot uses your product information and the preferences shoppers share in chat to suggest relevant options and explain the differences.

  • Narrow the choice. Help shoppers find suitable options without reading every product page.
  • Make comparisons clearer. Explain differences in features, materials, sizes, or intended use.
  • Answer questions before purchase. Clarify whether a product meets the customer’s requirements.
  • Make products easy to find. Point shoppers to the relevant page when they are ready to explore or buy.

Skills for your product recommendation chatbot

Give shoppers a way to explore a recommendation or get more advice.

Skill
How it works
Action buttons
Show relevant buttons that open a product page, category, or buying guide. Give shoppers a clear next step after explaining their options.
Human handoff
Offer contact with your team when a shopper needs specialist advice or a detail is missing from the chatbot’s knowledge. Configure options such as email, phone, or WhatsApp.
Lead form
Collect a name, email, or phone number when a shopper wants personal advice or a quote. Keep contact details linked to the conversation so your team can review the products and requirements discussed.
Booking
Let shoppers schedule a product consultation or demonstration through Calendly or Cal.com. Offer booking when choosing the right product calls for a longer conversation.
Follow-up message
Send a message after a pause in the chat, such as “Would you like help comparing these options?” Customize the delay and wording to invite further questions.

Action buttons

How it works

Show relevant buttons that open a product page, category, or buying guide. Give shoppers a clear next step after explaining their options.

Human handoff

How it works

Offer contact with your team when a shopper needs specialist advice or a detail is missing from the chatbot’s knowledge. Configure options such as email, phone, or WhatsApp.

Lead form

How it works

Collect a name, email, or phone number when a shopper wants personal advice or a quote. Keep contact details linked to the conversation so your team can review the products and requirements discussed.

Booking

How it works

Let shoppers schedule a product consultation or demonstration through Calendly or Cal.com. Offer booking when choosing the right product calls for a longer conversation.

Follow-up message

How it works

Send a message after a pause in the chat, such as “Would you like help comparing these options?” Customize the delay and wording to invite further questions.

Create your product recommendation chatbot for free

  1. 1. Enter your website address
  2. 2. Customize your chatbot
  3. 3. Add it to your website

Set up your chatbot to recommend your products

  1. Start with your product pages

    Enter your website address to prepare your chatbot’s initial knowledge and profile. Review the product information it has gathered and add pages or files for any missing items. Include product links so shoppers can find the options discussed.

  2. Add the details that help shoppers choose

    Provide specifications, prices, size guides, materials, and intended uses through website pages, files, or Q&A. Explain meaningful differences: which backpack fits a laptop, which chair suits a smaller desk, or what an upgraded model adds.

  3. Define what to ask before recommending

    Instruct your chatbot to clarify the shopper’s intended use, budget, and must-have features. For example: “Before suggesting a backpack, ask what they carry and whether it is for commuting or travel.” Keep questions relevant to the product category.

  4. Set rules for comparisons and alternatives

    Ask the chatbot to suggest a short list and explain why each option fits the stated needs. Define how it should handle trade-offs, such as a lower price versus an extra feature. Tell it to acknowledge missing specifications and offer human contact when suitability is uncertain.

  5. Test recommendations before publishing

    Try requests with different budgets, conflicting preferences, and requirements your products do not meet. Check that suggestions are supported by your product information and lead to the right pages. Update the knowledge and instructions where explanations are incomplete.

  6. Learn from shopping conversations

    Review which products customers compare and what details they struggle to find. Add answers to recurring questions and update sources when products, specifications, or prices change. Use saved conversations and contact details to prepare for requests that need personal advice.

More jobs the same AI Chatbot can take

These are not separate products. The same agent answers questions, qualifies leads, books appointments, and follows up. Pick another job to see how it looks.

FAQ