Answers from a knowledge base
Uses your services, FAQ, and rules.
AI Website Assistant
A chat that doesn't pretend to be human, but helps the user to the right next step.
The website assistant answers from a knowledge base, asks follow-up questions, and prepares the lead for your team.
This is a proof display. The real integration is done with your content and rules.
FAQ from a knowledge base
Lead qualification
Fallback to a human
Demo conversation
I need a website and an AI chat, but I'm not sure what to do first.
First I'd check the goal. Do you want more inquiries, fewer repetitive questions, or faster follow-up?
Most of all I want better inquiries.
Then the chat should ask about the service, timeline, budget range, and contact before sending it to the team.
Why chat
An ordinary contact form often doesn't know enough.
A good assistant doesn't replace sales. It prepares a better conversation.
Asks follow-up questions
Explains the services
Reduces repeating FAQ answers
Collects structured data
Suggests the next step
Recognizes when a human is needed
Capabilities
What the Website Assistant can do
The scope depends on the content and rules.
Lead qualification
Asks the right questions before contacting.
Service recommendation
Guides the user toward the relevant choice.
Conversation summary
Sends the team context, not just an email.
Integrations
Can connect with email, a CRM, or a spreadsheet.
Fallback
When it's unsure, it redirects to a human.
Fit
Who it's ideal for
It works best on websites where users have a lot of questions before deciding.
Good fit
- Services with multiple options
- Booking and inquiries
- B2B leads
- Frequent questions
- Sales that need context
Poor fit
- A simple page with a single CTA
- No knowledge base
- All answers depend on the owner's judgment
- No plan for tracking conversations
- The chat would only bother the user
Comparison
Contact form, ordinary chatbot, or AI assistant?
The difference is in context and usefulness.
| Criterion | Contact form | Ordinary chatbot | AI Website Assistant |
|---|---|---|---|
| Context | Low | Limited | Structured |
| FAQ | Doesn't answer | Scripts | Knowledge base |
| Lead quality | Depends on the user | Medium | More information |
| Fallback | Often unclear | A human when needed |
Integration
How it's set up
First the knowledge, then the logic, and only then the interface.
01
Knowledge base
We gather services, FAQ, rules, and limitations.
02
Chat logic
We define the questions, fallback, and the goal of the conversation.
03
Integrations
We connect email, a CRM, or another tool if needed.
04
Testing
We check real scenarios.
05
Launch
Publication and conversation monitoring.
Examples
Where chat helps fastest
The initial use case should be clear.
Web studio
Qualifying the project type and timeline.
Salon
Inquiries, appointments, and common questions.
Clinic
Informative answers and guidance, without medical decisions.
B2B service
Collecting context before the sales call.
Courses
Choosing a program and enrolling.
Tourism
FAQ, availability, and the next step.
FAQ
Questions about the chat
Chat is a tool, not magic.
No. It must have a clear knowledge base and fallback rules.
Next step
The Website Assistant only makes sense once it knows your process.
Let's start with the AI Audit and define what the chat really needs to do.