7 Best Landbot Alternatives for Customer Support in 2026

Landbot is a popular no-code chatbot platform that helps businesses create conversational experiences for websites and messaging channels. Its visual builder makes it easy to design basic chat flows without technical skills, which is why many teams use it for lead generation and simple customer interactions.

Landbot does not fit every customer support requirement. Teams that need advanced automation, higher conversation limits, broader multi-channel support, deeper integrations, or AI-driven workflows often look for alternatives that provide greater flexibility and operational control.

In this blog, we review seven of the best Landbot alternatives for customer support in 2026. Each platform is evaluated based on its features, strengths, and real-world use cases. The goal is to help small businesses, startups, and customer support teams choose a solution that improves response efficiency, supports growth, and delivers better customer experiences across channels.

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Reasons Businesses Need Landbot Alternatives

Landbot is a no-code chatbot builder designed around visual, rule-based conversation flows. It works well for simple, guided interactions, but many businesses encounter limitations as customer support and automation needs become more complex. Modern teams often require stronger AI capabilities, deeper integrations, and platforms that can support growth without increasing operational overhead.

Below are the main reasons businesses evaluate Landbot alternatives.

Here are the reasons businesses are moving toward Landbot alternatives:

• Limited AI capabilities
  Landbot is built around predefined conversation flows. This works for predictable interactions, but it struggles when users ask open-ended questions or phrase things in unexpected ways. The platform has limited ability to interpret intent variations, maintain context across longer conversations, or adjust responses dynamically. As a result, handling complex or non-linear support scenarios often requires manual workarounds.
  
• Scalability issues
  As support volume grows, chatbot platforms need to handle more conversations at the same time while keeping workflows manageable. Many teams find that Landbot’s flow-based structure becomes harder to maintain as use cases multiply. Managing large-scale automation, multiple bots, or high traffic can introduce operational friction rather than reducing it.
  
• Integration gaps
  Modern support workflows depend on tight connections between chatbots, CRMs, ticketing systems, analytics tools, and internal databases. While Landbot offers integrations, teams often find them insufficient for building end-to-end, action-driven workflows. This can lead to fragmented processes or dependence on external tools to complete basic operational tasks.
  
• Pricing concerns
  Landbot can be a reasonable option for small implementations, but costs tend to increase as conversation volume and automation needs expand. Businesses running large support or sales operations often compare alternatives that provide higher limits, stronger automation capabilities, and clearer pricing as usage grows.
  
• Omnichannel limitations
  Customers now expect consistent interactions across websites, messaging apps, and other communication channels. Landbot’s primary focus on web-based chat can make it difficult to manage conversations across channels from a single view. Teams that need a unified inbox and shared customer context often evaluate platforms with more complete omnichannel support.

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Why Consider a Landbot Alternative?

Landbot is a good option for building guided, flow-based chatbot experiences, especially for teams starting with basic automation or lead capture. Its visual builder makes it easy to design structured conversations without technical effort, which works well in controlled scenarios.

However, customer support environments change quickly. As businesses grow, conversations become less predictable, customer expectations increase, and automation needs extend beyond simple question-and-answer flows. Support teams begin handling edge cases, follow-up questions, system lookups, and actions that require real-time data and decision-making.

At this point, limitations of flow-based chatbot tools become more noticeable. Teams may need bots that can understand intent rather than rely solely on predefined paths, maintain context across longer conversations, and trigger actions within internal systems such as CRMs, ticketing tools, or order management platforms.

There is also a shift in how customers communicate. Interactions no longer happen only on websites. Customers move between messaging apps, email, and other channels, expecting continuity and context at every step. Managing these conversations efficiently often requires a platform designed for unified, multi-channel engagement rather than isolated chat experiences.

For these reasons, businesses exploring long-term scalability, operational automation, and consistent customer experiences often evaluate Landbot alternatives. The goal is not just to replace a chatbot, but to adopt a platform that can support evolving support, sales, and operational needs as the business grows.

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Top 7 Landbot Alternatives in 2026:

Here is a list of the top 7 alternatives to Landbot for 2026:

1. YourGPT AI Chatbot: Leading AI Agent platform for businesses with a no-code builder, advanced features, and customisation options.
   
2. Kore AI: An AI platform with advanced NLP and extensive integrations.
   
3. Verloop.io: AI customer support platform for omnichannel automation and engagement.
   
4. Haptik: An AI platform integrating generative AI for marketing, support, and operations.
   
5. Zendesk: Customer service solution with ticketing and analytics.
   
6. Hiver: Gmail-based customer service tool for team collaboration.
   
7. Certainly.io: A conversational AI platform that automates customer interactions.

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Comparing the Best Landbot Alternatives for Customer Support in 2026

Let us explore these alternatives based on key criteria such as features, pricing, user interface, customer support, integration options, and unique selling points.

1. YourGPT

YourGPT is an AI-first platform for building and running AI agents that support customer service, sales, and business operations across websites, apps, and messaging channels.

It includes a visual no-code agent builder for everyday conversational use cases and a more advanced AI Studio for creating structured, multi-step operational workflows, all without requiring engineering resources.

Unlike basic chatbots that only respond with static answers, YourGPT agents can perform multi-step actions, execute API-driven workflows, and automate real tasks. This makes the platform suitable for both customer-facing interactions and internal operational automation.

Pros :

• No-code agent builder + AI Studio : Build simple agents quickly or create advanced multi-step workflows using API actions, logic branching, and data collection.
  
• Multi-source training with auto updates : Train agents on websites, files, Google Docs, Sheets, Notion, Confluence, YouTube, and past conversations, with automatic reindexing to keep responses up to date.
  
• Omnichannel deployment from one agent : Deploy a single agent across websites, WhatsApp, Instagram, Messenger, Slack, Telegram, email, and Voice AI, with updates syncing across all channels.
  
• AI Helpdesk with knowledge base : Publish help articles and knowledge base content that stays synced with AI agents for instant customer answers.
  
• Human handoff and team collaboration : Support live agent takeover, internal notes, assigned conversations, and full chat history when human intervention is required.
  
• Strong integrations and extensibility : Connect with external platforms using APIs, MCP servers, and code execution to support custom workflows and automation.

Cons :

• Custom API setup : Advanced API-based workflows may require developer support, although core agent building and automation features remain no-code.

Why choose YourGPT over Landbot?

While Landbot is built around visual, flow-based chatbot experiences, YourGPT offers a broader AI-first platform designed for real operational automation. YourGPT goes beyond predefined chat flows by enabling AI agents to understand intent, maintain context, and execute multi-step actions across systems.

YourGPT combines chat, voice, AI Studio, human handoff, team collaboration, and analytics in a single platform. This makes it suitable for teams that need scalable automation across customer support, sales, and internal operations without relying on separate tools or complex workarounds.

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2. Kore AI

Kore AI is a conversational AI platform designed to build and deploy virtual assistants for customer support and internal employee use cases across digital and voice channels.

The platform focuses on enterprise-grade automation, enabling organizations to design AI-driven workflows for routine tasks, support interactions, and internal processes. Kore AI supports both rule-based and AI-powered conversational experiences, making it suitable for structured and large-scale deployments.

Unlike basic chatbot builders, Kore AI emphasizes automation depth, workflow orchestration, and integration with enterprise systems, which makes it more suitable for organizations with complex operational requirements.

Pros :

• Advanced automation capabilities : Automate routine tasks and workflows using AI-driven conversation handling and backend process automation.
  
• Generative AI tools: Use generative AI features for content generation, response creation, and process optimisation across support and operational use cases.
  
• Multi-channel and voice support : Deploy conversational AI across web, messaging channels, and voice-based interfaces to support both text and voice interactions.
  
• Enterprise-focused design : Built to support large-scale deployments with structured workflows and governance controls.
  
• Strong integration capabilities : Integrates with a wide range of third-party applications, digital channels, and enterprise systems to support connected workflows.

Cons :

• Pricing complexity : Entry-level pricing starts higher than many no-code chatbot tools, and advanced features are available at higher price tiers.

• Learning curve for smaller teams : The platform is powerful but may require more setup time and expertise compared to simpler, visual chatbot builders.

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3. Verloop

Verloop.io is a conversational AI platform focused on automating customer support interactions across multiple digital channels.

The platform is designed to help support teams handle common customer queries, route conversations intelligently, and improve response times using AI-driven chat automation. Verloop.io emphasizes contextual conversations and workflow-based automation to support real-time customer assistance.

Unlike basic chatbot builders, Verloop.io is built specifically for customer support use cases, making it suitable for businesses looking to reduce agent workload while maintaining conversation quality.

Pros :

• Context-aware conversations : Uses conversational context to deliver more relevant responses and maintain continuity throughout customer interactions.
  
• AI-driven customer support automation : Automates real-time chat support to handle common issues, FAQs, and support requests without agent intervention.
  
• Personalised interaction flows : Allows teams to design customized conversation paths based on customer intent, behavior, or support scenarios.
  
• Multi-channel deployment : Supports customer interactions across multiple platforms, enabling consistent support experiences across channels.
  
• Performance tracking tools : Includes reporting and monitoring features to track chatbot performance and support efficiency.

Cons :

• Pricing transparency : Pricing is not publicly listed and varies based on business requirements, which may require direct consultation for cost evaluation.
  
• Support-focused scope : Primarily designed for customer support automation, which may limit flexibility for broader operational or sales workflows.

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4. Haptic

Haptik is a conversational AI platform focused on automating customer engagement and support through AI-driven chat and messaging experiences.

The platform is commonly used by businesses to handle high-volume customer interactions, particularly across messaging channels. Haptik combines rule-based automation with AI capabilities to support customer service use cases such as FAQs, lead handling, and transaction-related conversations.

Haptik is positioned primarily for customer engagement and support automation, with a strong emphasis on messaging-first experiences.

Pros :

• AI-driven customer support automation : Automates common customer queries and support interactions to reduce agent workload and improve response times.
  
• Omnichannel messaging support : Supports deployment across messaging platforms such as WhatsApp and other digital channels for customer communication.
  
• Generative AI capabilities : Uses generative AI features to support more personalized responses and conversational experiences.
  
• Enterprise-ready infrastructure : Designed to support large-scale deployments with structured workflows and performance monitoring.
  
• Broad integration support : Integrates with over 60 applications, including CRM systems, payment gateways, and backend platforms.

Cons :

• Pricing transparency : Pricing is typically customized based on business requirements, which may make upfront cost comparison difficult.

• Support-centric focus : Primarily oriented toward customer engagement and support use cases, with limited flexibility for internal operations or complex workflow automation.

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5. Zendesk

Zendesk is a customer support platform built around ticketing and case management, designed to help businesses handle customer enquiries at scale.

The platform focuses on organizing, tracking, and resolving support requests across multiple channels. Zendesk is widely used by support teams that require structured workflows, reporting, and visibility into customer interactions rather than conversational-first automation.

Unlike chatbot builders, Zendesk is primarily a support management system, often combined with automation or AI tools to enhance efficiency.

Pros :

• Comprehensive support tooling : Provides a full set of customer support features including ticketing, case routing, SLA management, and reporting.
  
• Omnichannel support with analytics : Supports email, chat, messaging, and other channels with unified analytics to track performance and customer trends.
  
• Scalable for growing teams : Designed to support teams ranging from small support desks to large enterprise operations.
  
• Customisable dashboards and workflows : Allows teams to configure dashboards, automation rules, and workflows based on support needs.
  
• Extensive integration ecosystem : Offers a wide range of third-party integrations to connect with CRMs, analytics platforms, and business tools.

Cons :

• Ticket-centric approach : Zendesk is built around ticket management, which may feel rigid for teams seeking conversational or AI-first automation.

• Pricing per agent : Pricing is charged per agent, which can become costly as support teams scale.

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6. Hiver

Hiver is an email-based customer support platform built specifically for teams using Google Workspace.

The platform helps support teams manage shared inboxes directly inside Gmail, making it easier to assign emails, track ownership, and collaborate on customer conversations without leaving the inbox. Hiver is commonly used by teams that rely heavily on email for customer support and internal communication.

Unlike chatbot or AI-first platforms, Hiver focuses on improving email-based workflows rather than automating conversations through AI agents.

Pros :

• Email-centric customer support : Designed for managing customer support directly from shared Gmail inboxes, making it familiar for Google Workspace users.
  
• Team collaboration features : Supports email assignment, internal notes, collision detection, and shared visibility to improve response coordination.
  
• Native Gmail integration : Works directly inside Gmail, reducing the need for additional tools or dashboards.
  
• Simple setup and onboarding : Easy to deploy for teams already using Google Workspace, with minimal configuration required.

Cons :

Limited beyond email support : Primarily focused on email-based workflows, with limited support for chat, messaging apps, or conversational automation.

Not AI-first : Lacks advanced AI-driven automation or conversational capabilities compared to chatbot platforms.

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7. Certainly.io

Certainly is an AI conversational platform focused on building chatbots and virtual assistants for customer support use cases.

The platform emphasizes personalization, automation, and analytics to help businesses manage customer interactions more effectively. Certainly is often used by organizations that want AI-driven conversations combined with performance insights to improve customer engagement.

Compared to simple chatbot builders, Certainly places a stronger focus on analytics and conversational optimization rather than purely visual flow design.

Pros :

• Personalised conversational experiences : Supports tailored responses and conversation flows based on customer behavior and interaction context.
  
• AI-driven automation : Automates customer support interactions to reduce manual handling of repetitive queries.
  
• Strong analytics and insights : Provides analytics tools to measure conversation performance, engagement levels, and support outcomes.
  
• Customisable interface : Allows teams to adjust conversation logic and interface elements to align with brand and support requirements.

Cons :

• Higher starting price point : Pricing starts at approximately €2,000 per month, which may be restrictive for small teams or early-stage businesses.
  
• Support-focused scope : Primarily designed for customer support use cases, with limited flexibility for broader operational or internal automation.

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Criteria for Selecting Competitors & Alternatives

Choosing the right Landbot alternative is not only about comparing features. The decision should be based on how well a platform supports real customer conversations, operational workflows, and long-term scalability as business needs evolve.

The following criteria help evaluate platforms more effectively.

• Performance & Features: Look beyond basic chatbot functionality. Strong alternatives should handle real-world conversation complexity, including intent recognition, context handling, and automation beyond scripted flows. Performance under high conversation volume and reliability across channels are equally important.
  
• Ease of Use: A platform may offer advanced capabilities but still create friction if it is difficult to configure or maintain. Evaluate how easily teams can build, update, and manage bots or AI agents without constant technical involvement, especially as workflows grow more complex.
  
• Customisation & Integration: Customer support rarely operates in isolation. The right platform should allow meaningful customisation and integrate smoothly with CRMs, ticketing tools, analytics platforms, databases, and internal systems. This determines whether automation actually reduces manual work or simply shifts it elsewhere.
  
• Pricing & Scalability: Pricing should scale predictably with usage and business growth. Consider not only entry-level costs, but how pricing changes with higher conversation volume, additional channels, team size, and advanced automation requirements. Platforms that scale poorly often become costly bottlenecks over time.
  
• Customer Support & Community: Reliable customer support, clear documentation, and an active product ecosystem matter more as implementations grow. Evaluate response quality, onboarding resources, and whether the platform has a proven track record with businesses similar to yours.

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FAQ

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What is a no-code chatbot platform? ▼

A no-code chatbot platform allows you to create and manage chatbots without needing any programming skills. This makes it accessible for users with limited technical expertise.

How do these alternatives compare to Landbot? ▼

Each alternative offers distinct features, integrations, and pricing structures. To find the best fit for your needs, evaluate which platform aligns with your specific requirements and goals.

Can these platforms integrate with my existing systems? ▼

Most of these platforms are designed to offer extensive integration options, allowing them to work seamlessly with a wide range of tools and channels you may already be using.

Are these platforms suitable for small businesses? ▼

Yes, many of these platforms are scalable and offer solutions that are ideal for businesses of all sizes, including small businesses. They provide flexibility to grow with your needs.

What factors should I consider when choosing a chatbot platform? ▼

Consider factors such as the features offered, ease of use, customization capabilities, pricing, and the quality of customer support. These aspects will help you select a platform that best meets your needs.

How can I measure the effectiveness of my chatbot? ▼

To gauge your chatbot’s effectiveness, track metrics such as user engagement, response times, and overall customer satisfaction. These metrics will help you understand how well your chatbot is performing and where improvements may be needed.

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Conclusion

Choosing the right chatbot platform has a direct impact on how efficiently your team supports customers and how consistently those customers experience your brand. The right solution should not only answer questions, but also fit into your existing workflows, scale with conversation volume, and support the channels your customers actually use.

The Landbot alternatives covered in this guide address different needs, from AI-driven automation and omnichannel support to deeper integrations and operational flexibility. Evaluating these platforms based on real use cases, long-term scalability, and ease of management helps ensure you select a tool that continues to deliver value as your business grows.

If you want to explore an AI-first approach without committing upfront, YourGPT offers a 7-day trial that allows teams to test AI agents across support, sales, and operational scenarios. Taking time to evaluate platforms hands-on can help you choose a solution that improves response quality, reduces manual effort, and creates more consistent customer experiences across channels.