How to Create a Sales Chatbot That Qualifies Leads
What a Sales Chatbot Does Differently
A standard support chatbot answers questions reactively. A sales chatbot is proactive. It guides the conversation toward understanding the visitor's needs, presents relevant products or services, and nudges toward a conversion. The platform's sales chatbot type has built-in AI rules for product matching, upselling, and relevance scoring against your knowledge base. It ranks how well each product matches what the visitor is looking for and presents the best options first.
There is also a "salesaudio" variant that combines sales behavior with voice input and output, useful for a more personal, conversational selling experience. See voice features for details on setting up audio.
Before You Start
Prepare your product or service information. The chatbot needs to know what you sell, what each offering costs, who it is best suited for, and what makes each option different. Load this into your knowledge base as structured documents. The more detail you provide about each product, the better the chatbot can match visitors to the right one.
Step-by-Step Setup
In the AI Chatbot app, create a new chatbot. Set the chatbot type to "sales" (or "salesaudio" if you want voice). This activates the sales-specific AI behavior including product matching, relevance scoring, and upselling logic.
Upload documents that describe each product or service in detail. Include pricing, features, ideal customer profiles, and common objections with answers. The chatbot uses these embeddings to match visitor needs to specific offerings. Organize information clearly so the AI can find and compare products effectively. Embedding costs 3 credits per text chunk.
Your system prompt should instruct the chatbot to ask discovery questions before recommending products. Include guidelines like: ask about the visitor's budget, timeline, and specific needs before suggesting solutions. Tell the chatbot which products to prioritize and any current promotions to mention. Define when to suggest a call or demo versus completing the sale in chat.
Decide what contact information the chatbot should collect. At minimum, you want a name and email address. The chatbot can ask for these naturally during the conversation, such as "I can send you a comparison of those two plans, what is the best email to reach you?" rather than presenting a cold form.
Add the chatbot to your website and run through several test conversations. Pretend to be different types of buyers: someone who knows exactly what they want, someone browsing casually, and someone comparing you to a competitor. Verify that the chatbot asks the right questions, recommends appropriate products, and captures contact information smoothly.
Writing Effective Sales Prompts
The system prompt is the most important part of a sales chatbot. A good sales prompt includes:
- Discovery first: Instruct the chatbot to ask at least 2 to 3 questions before recommending anything
- Objection handling: Provide responses to common pushbacks like "too expensive" or "I need to think about it"
- Competitive positioning: Tell the chatbot how your product differs from named competitors the visitor might mention
- Escalation trigger: Define when the chatbot should suggest a live call or demo rather than trying to close in chat
Measuring Sales Chatbot Performance
Track how many conversations result in a captured email address or phone number. Review conversation logs to see where visitors drop off. If visitors consistently leave after a certain question, that question might be too aggressive or poorly worded. Refine your system prompt and knowledge base based on these patterns. The chatbot analytics guide covers measurement in more detail.
Turn website traffic into qualified leads. Build a sales chatbot that recommends the right product every time.
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