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01 Landbot alternative

An agent that understands. Not a flow tree to maintain.

Landbot is a flow-based chatbot builder: you design every branch. Captia is an AI agent trained on your business information, and we set it up for you.

02 In one paragraph

Captia vs Landbot

Landbot and Captia solve the same problem with two different philosophies. Landbot is, at its core, a visual flow-based chatbot builder —you design and maintain every branch, with full control over what the bot says— with an AI layer on top and an AI-conversation quota per plan. Captia is an AI agent that understands free-form language and answers from the business's real information (services, prices, opening hours), with no decision trees to maintain and setup done by the Captia team. Landbot fits better if you want to own the script yourself; Captia, if you are a small business with nobody to maintain flows.

Best for · Landbot

Teams with someone dedicated who wants branch-by-branch control of the script, or use cases with a fixed, predictable flow (surveys, structured qualification).

Best for · Captia

Small businesses that want someone answering properly on web, WhatsApp and phone with their real information, without building or maintaining flows.

03 Comparison

Captia frente a Landbot

Landbot Captia
Approach Visual flow builder (drag & drop), with an AI layer on top of the flow and an "AI chats" quota per plan. AI agent that understands free-form language and resolves the task.
Setup model You design and maintain every decision tree. We set it up, trained on your information.
Off-script questions In a classic flow, if the user leaves the script, there is no branch for it. It reads intent, not fixed branches.
Channels Web and Messenger on entry plans; WhatsApp requires the WhatsApp Pro plan. Web and WhatsApp on the same knowledge; phone as an add-on.
Public pricing Starter €40/mo (500 chats/mo, no WhatsApp), Pro €100/mo, WhatsApp Pro €200/mo, Business from €400/mo. Web €49/mo. Pro €199/mo with web and WhatsApp and onboarding included, no setup fee. Voice from +€99/mo.
Onboarding Self-serve by default: you build it. They also sell a managed service (Agent Studio) where their team builds and runs it, priced on request. Done for you, with your services, prices and opening hours.

Public data checked on 20 August 2026. Source: landbot.io/pricing

Competitor data comes from their public website on the date stated on each page. It changes: check it before deciding. Trademarks belong to their owners and are not affiliated with Captia.

04 Best for

When to choose Landbot

Criteria inferred from Landbot's public documentation and pricing, not from a benchmark we ran.

  • Mature visual builder: you see and control exactly what the bot says in every branch.
  • Free plan to try it out and a wide integration catalogue.
  • Established brand with large documentation and community.
  • If your case is a fixed, repetitive flow, a well-built tree is cheaper and more predictable than a model.

05 Captia

What Captia adds

  • 01 Understands what the customer asks without forcing them to pick options.
  • 02 Trained on your real services, prices, opening hours and FAQs.
  • 03 Qualifies, books appointments and captures contacts, not just answers.
  • 04 Hands over to a person when needed, with the conversation context.

06 FAQ

Comparison FAQ

How is Captia different from Landbot?

Landbot is a flow-based chatbot builder: you design every conversation tree. Captia is an AI agent that understands free-form language and resolves the query without you drawing the flow, and we set it up trained on your business.

Do I have to build the bot myself?

No. With Captia the setup is done for you: you give us your information and we leave it running. There are no flow trees to maintain.

What if a customer asks something unforeseen?

The agent reads intent, so it answers even when the question doesn't fit a script. If something needs a person, it hands over with the conversation context.

When is Landbot the better choice?

When you want word-by-word control of every branch and have someone to maintain the flows, or when the use case is a fixed conversational form. A well-built tree is more predictable there.

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