An AI website chatbot is a conversational assistant that answers visitor questions using a defined knowledge base. A well-designed implementation can also ask follow-up questions, recommend relevant pages, capture lead context, and route a visitor to a person when appropriate.

Live chat depends on a person being available. A basic chatbot usually follows a fixed decision tree. Answer-Engine Concierge uses approved business content to respond conversationally, understand intent, guide visitors across multiple paths, and support a human handoff when the question or opportunity requires it.

The source set can include selected website pages, service information, FAQs, approved documents, policies, guides, and other business-owned materials. Content is reviewed during setup so the concierge is not simply trained on everything without judgment.

Yes. Any generative AI system can produce an incomplete or inaccurate response. The risk is reduced by using approved sources, defining scope and response rules, testing likely questions, creating human escalation paths, and reviewing real conversations after launch. No responsible provider should promise zero errors.

Control comes from the source content, system instructions, response boundaries, conversation design, testing, and ongoing review. The concierge can also be instructed to acknowledge uncertainty and direct unsupported or sensitive questions to a person.

Yes. It can ask relevant follow-up questions, collect approved contact details, preserve the context of the conversation, and route a visitor to a form, appointment, phone call, or team member. The experience should answer first and request information only when it improves the visitor’s next step.

A human should take over when the visitor requests one, the question falls outside approved knowledge, the subject is sensitive or high-risk, professional judgment is required, or the opportunity is ready for a real sales or service conversation.

That depends on the chosen platform, configuration, integrations, and lead-capture design. ClickIt CMO scopes the information that is actually needed and reviews platform data handling before launch. Any business with special legal, security, or industry requirements should identify them during discovery.

Not necessarily. Platform and model requirements vary. The implementation is scoped around the selected solution, expected usage, content volume, integrations, and current provider requirements so you are not locked into an outdated assumption about accounts or API fees.

A focused implementation can typically launch in about 21 days after required content, access, decisions, and approvals are available. A more complex knowledge base, additional integrations, compliance review, or extensive content preparation can extend the timeline.

The first 30 days include a tune-up using real conversation data. Weak responses, unanswered questions, routing issues, content gaps, and conversion opportunities are reviewed. Ongoing optimization can be added when continued monitoring and retraining are valuable.

The project is scoped around your buyers, content, conversation volume, integrations, privacy requirements, handoff paths, and business goals. The first conversation is used to understand those needs and determine whether the concierge is the right fit before a tailored recommendation is made.