Landbot review

Landbot is a hosted no-code SaaS application for building and deploying chatbots and AI agents on websites and WhatsApp. It sits between a business’s customer-facing channels and its sales or support processes: a visual workflow captures information, qualifies leads, routes conversations and can hand complex cases to a person.

The builder combines rule-based paths with AI responses, rather than requiring teams to choose between a fixed chatbot and an open-ended agent. Marketing and revenue teams can use it for lead capture and meeting bookings; support teams can automate FAQs and route cases. CRM connections include HubSpot and Salesforce, alongside 20+ native integrations. The homepage also presents AI Skills that let users work with tools including Claude Code, Claude desktop, Codex and Cursor to build a Landbot flow. This is not presented as a library or a self-hosted server: the core workflow is configured in Landbot and deployed to the channels it supports.

The integration surface established by Landbot is its visual builder, website and WhatsApp deployment, and native connections such as HubSpot and Salesforce. The homepage lists 20+ native integrations, but names no programming languages, SDKs, CLI or API protocol. Treat it as a workflow product, not a code-first API, until Landbot’s technical documentation confirms the interfaces your stack needs.

Landbot’s AI Skills page says its flows work with Claude Code, Claude desktop, Codex and Cursor. That describes AI-assisted flow creation; it does not establish that these tools can call a Landbot API or that an SDK is available. Confirm SDK support, authentication, webhooks or other integration methods in the vendor’s docs before designing a custom integration. For a standard deployment, plan around the visual builder and the supported website or WhatsApp channel, then verify how conversation data reaches your CRM and internal systems.

Landbot has a Free plan with 100 chats per month, no AI chats, one seat, and the full builder and templates. Starter includes 500 chats, 100 AI chats and two seats; Professional includes 2,500 chats, 300 AI chats and three seats. Professional WA has 2,500 chats, 500 AI chats, three seats and one WhatsApp number. Business offers custom chat and AI-chat volume, starts at five seats, and includes dedicated support and an uptime SLA.

The published pricing details give no monthly or annual amounts for those paid plans. They say annual billing is 20% cheaper; they show euro prices but no USD amounts, while noting non-EU customers pay in dollars. Extra chats cost €0.05 each, billed in 500-chat packs for €25; extra AI chats cost €0.10 each, and extra seats cost €25 per month. Professional’s WhatsApp add-on is €100 per month. Professional WA also has Meta message fees and stated per-message charges for some message categories. Get a quote that models expected usage before launch.

Landbot is presented as a hosted platform, not as software to install in your own environment. The vendor doesn't publish an open-source licence, a self-hosting route or a data-export guarantee in the product details available to buyers. Treat the builder and runtime as proprietary hosted services unless Landbot confirms otherwise in writing.

That makes migration planning important. A flow built in a visual editor may need to be recreated in another chatbot platform or custom application, and CRM connections do not by themselves guarantee that conversation history or workflow logic can be exported. Before adopting Landbot for a core customer channel, ask what data can be exported, in what format, and whether you can retain it after cancellation. Also confirm what happens to WhatsApp numbers, integrations and customer records if you leave.

Plan around the chat and AI-chat allowances in your tier, not just total conversations. Free has no AI chats; paid tiers set monthly chat and AI-chat volumes, while extra chats, AI chats, seats and WhatsApp features can add charges. Business includes a custom volume and an uptime SLA, but the vendor should confirm the specific service terms, rate limits and escalation process for your deployment.

The homepage displays GDPR-ready, SOC 2 AICPA and Meta Partner marks. Confirm the scope of those claims and review the security and data-processing terms before routing personal information through a bot. Reddit discussion about Landbot is limited: one marketer considered it for agency lead generation, while commenters suggested testing user response before committing. That is a useful reminder to measure whether the conversational flow improves qualified leads or support resolution for your audience. Validate CRM routing, human handoff and failure handling against your own production requirements.