AI Product Advisor Chatbot for Framer Commerce Sites
Just added a chatbot feature to a Framer commerce project that acts like a lightweight product advisor.
The chatbot lets visitors ask about ingredients, product concerns, goals, dosing, or which formula might fit them best. Instead of only replying with text, it can recommend relevant products directly inside the chat with product cards, images, price, short descriptions, and deep links to the product detail pages.
A few things it supports:
- Product recommendations based on user intent
- Ingredient and formulation explanations
- Clickable product cards inside chat replies
- Product detail deep links like /product-details?product=sleep-recovery
- Editable recommended products from the Framer layer panel
- Demo mode for simulated replies
- Optional API endpoint for real AI/chat responses
- Desktop/tablet floating widget behaviour
- Mobile-friendly behaviour that scrolls with the page instead of clashing with floating mobile navigation
The goal was to make the chatbot feel more useful than a generic support bubble. It works as a guided shopping assistant: someone can ask “What should I take for sleep?” or “Tell me about magnesium glycinate,” and the chatbot can explain the ingredient logic while pointing them toward the right product.
Built as a Framer code component, so the content, styling, products, images, labels, and recommendation data can still be edited from Framer.