Rule-based versus AI
Rule-based chatbots follow set menus and scripts, like 'Book a visit' or 'Check hours'. AI chatbots use large language models to understand free-form questions and write answers, which feels more natural but needs careful limits and good information to draw from.
How businesses use them
Common uses include answering FAQs after hours, qualifying leads before a sales call, booking appointments, tracking orders and handing tricky questions to a human.
What makes one useful
The best chatbots solve a clear, common problem quickly, say plainly that they're a bot and make it easy to reach a real person. They also connect to your CRM or calendar so conversations turn into leads or bookings.
Why Chatbot matters
Many visitors want quick answers outside business hours. A well-built chatbot can capture leads and answer routine questions around the clock. A poorly built one frustrates people and can give wrong answers that hurt trust.
Catching after-hours leads
A plumbing company missed many website visitors at night. A simple chatbot that asked about the problem, location and urgency, then booked a callback or flagged emergencies, turned more evening visits into scheduled jobs.
Common mistakes
Hiding the human option
People get frustrated when they can't reach a person. Offer a clear way to talk to someone.
Letting AI answer anything
AI chatbots can make up answers. Limit them to approved information and review conversations regularly.
Collecting data carelessly
Chat transcripts can include personal details. Follow privacy rules and only ask for what you need.
Where we work on this