A lead-generation chatbot should shorten the path from curiosity to a qualified conversation. That means clear intents, fast answers, and respectful data collection—not endless menus.
Map real questions
Pull the top twenty questions from sales, support, and search console. Group them into intents: pricing, timing, integrations, service area, and booking. Each intent should have a concise answer and a next step—book a call, download a resource, or talk to a human.
Qualification without interrogation
Ask for email or phone only after you have delivered value—pricing range, a relevant case study, or scheduling options. Use progressive profiling across sessions where possible.
Handoff design
When confidence is low or the user requests a person, route instantly with context (transcript, page URL, UTM). Nothing frustrates users more than repeating themselves.
Measure and iterate
Track containment rate, lead capture rate, and meeting bookings attributed to chat. Review transcripts weekly for new intents and bad answers. A chatbot is software; it needs ongoing tuning like any product surface.