Lead generation
Landbot AI agents for lead generation help visitors decide before they ever talk to sales — answering pricing, fit and objection questions, then asking for contact details once they’ve earned them.
Design the conversation for your website and WhatsApp, ground the agent in your knowledge, and let validated steps capture every lead. No code.
No card needed










More than just a chatbot
Feed it text, documents, pages from your website — or live data from your own API. Those pages are re-crawled on a schedule you set, so answers update when your site does.
Every answer a visitor has to type is a chance to drop out. The agent offers buttons and option lists instead, whenever they fit the moment.
When a question needs a person, it reaches one — full transcript and every captured field included, your team notified by email and in-app.
Pick your use case
Landbot AI agents for lead generation help visitors decide before they ever talk to sales — answering pricing, fit and objection questions, then asking for contact details once they’ve earned them.
It starts from what you already know about the customer — order, account, plan — instead of asking. Anything it shouldn’t handle reaches your team with the full conversation attached.
The agent qualifies with deterministic rules, books the meeting, and hands your sales team the whole exchange — intent, pain points, questions asked. The first call starts personalised, not cold.
All three run on the same canvas. Start with one.
Build your first agentFree plan. No credit card needed.
It gives before it asks. The agent answers the pricing, feature and fit questions a visitor has to resolve before they’ll talk to anyone, handles the objection behind them, and points to the right plan. Only then does it ask for contact details, on validated steps.
Free to start. No credit card.
Explore AI agents for lead generationQualification runs on rules you define, not on the model's judgement, so the criteria stay yours and the answers are validated. The agent books the meeting inside the same conversation and passes your sales team everything that was said before it — what the buyer wanted, what worried them, what they needed answered first.
Free to start. No credit card.
Your agent starts from the context you already have. It reads the order, the account or the plan from your own systems, answers from your knowledge base, and never asks a customer for something you already know. When a case shouldn’t be handled by an agent, it moves to your team with the full transcript and every captured field attached.
Free to start. No credit card.
Explore AI agents for customer supportWeb + WhatsApp
You build the conversation once. It runs wherever your customers already are.
Embed the agent as a widget, a popup or a full-page bot. Visitors ask, it answers from your knowledge base, and every captured field lands in your stack.
See website chatbotsConnect a WhatsApp Business number and the same agent works there — answering, qualifying and booking inside the app your customers already have open, with no new install to ask for.
See WhatsApp automationControl & guardrails
The agent chooses its words. You choose its limits — three of them.
It answers only from the knowledge you connect. Update the source; the agent updates with it.
Data capture never runs on the model — a deterministic flow with field validation.
Any conversation can exit to a human — on an unknown question, on request, or wherever you decide.
Connected to your stack
Captured fields flow to where your team already works — HubSpot, Salesforce, Google Sheets, Slack, Mailchimp, Stripe, Zapier, and webhooks for everything else.
Conditions, keyword jumps and routing by answer decide where each conversation goes next: the visitor experiences a chat, you operate a flow.
See all integrationsWeb + WhatsApp
Build it yourself on the visual canvas, ground it in your own content, and let validated steps capture the lead. Full technical control, no dev team needed.
Free plan. No credit card needed.
AI agent vs chatbot vs LLM
An AI agent understands intent and works toward a goal; a classic chatbot follows a fixed script.See how Landbot combines both →
| What matters to you | Hybrid: agent reasoning + validated steps | Classic rule-based chatbot Scripted, predictable paths | Generic LLM chat Model answers, no flow around them |
|---|---|---|---|
| Answers open questions | Yes — from your knowledge base, in the visitor's language | Only what's scripted | The honest winner on raw range — it will answer anything, in scope or not |
| Data capture reliability | Validated deterministic steps — nothing invented, no field missed | Validated steps | No validation — whatever the model extracts |
| Waiting time per step | Instant on deterministic steps; model replies take longer | Instant | Every reply waits for the model |
| Regulated, fully scripted journeys | Possible, but overkill | The honest winner — every word pre-approved | Hard to constrain |
| Context your sales team receives | Full transcript: intent, pain points, questions asked | Answers to fixed questions | Transcript only, no structured fields |
| Maintenance | Update the knowledge source; agent follows | Re-script every change | Prompt tuning, with unpredictable results |
Visitors who arrive with open questions and only convert once those are answered.
Short, regulated journeys where every word has to be pre-approved.
Open-ended exploration where nothing has to be captured, routed or guaranteed.
Not every journey needs an agent. If the flow is short and fully scripted, a deterministic bot is faster to build and easier to get approved — and Landbot builds those too, on the same canvas. Bring in the agent when visitors arrive with open questions they need answered before they'll convert. That's the conversation a script can't have.
FAQs
Landbot is a no-code platform for building AI agents that run on your website and WhatsApp. You design the conversation visually, ground the agent in your own content, and keep data capture on validated steps. The result answers like a person and captures data as reliably as a form.
Yes — you build and operate the agent yourself, with full technical control and no dev team needed. You write the instructions, connect knowledge sources (text, documents or URLs), and design the surrounding flow on a visual canvas. Landbot's copilot builds a first working version, so you never start from a blank canvas.
A Landbot AI agent answers product and pricing questions from your knowledge base, replies in the visitor's own language, offers buttons and option lists instead of only text, collects contact details through validated fields, and books the next step with your team. Paid plans include between 100 and 1,000 AI chats per month.
You decide when a conversation moves to a person: the agent hands off when a question falls outside its knowledge, when the visitor asks, or at any point you define in the flow. Your team is notified by email and in-app, and the full transcript with every captured field travels with the conversation.
Where it would matter most — capturing your lead's details — it can't. Data capture runs on a linear flow with field validation, not on the model: an email is either valid, or the visitor is asked again. In the conversation, the agent answers from the instructions and knowledge base you provide, and hands off when a question falls outside them.
Every fully agentic reply costs waiting time while a model composes it. Landbot only spends that time where the conversation needs it: data capture runs on deterministic steps that respond instantly. In a typical lead-generation flow, our internal estimate puts accumulated waiting time roughly 40% lower than routing every turn through a model.
Landbot's free plan includes 100 chats per month; AI agents are included from the Starter plan (€40/month with 100 AI chats). Pro includes 300 AI chats and Business plans scale from there. Every paid plan starts with a free trial, so you can test your agent before paying. Full details on the pricing page.