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Chatbase

Chatbase helps B2B teams build customer-facing AI agents that answer questions using company-approved content and connected business data. Teams can train an agent from website pages, help docs, FAQs, files, and other knowledge sources, then embed it on a website or connect it into support, sales, and customer engagement workflows. For SaaS companies, agencies, ecommerce teams, and support teams, the strongest use case is giving visitors and customers a guided AI support experience while keeping human review, escalation paths, source quality, and data permissions under control.

Key Features

Train on business content: Build an AI agent from website pages, help docs, FAQs, files, product content, and approved knowledge sources.
Website chatbot deployment: Embed a customer-facing chat widget or agent experience on landing pages, help centers, product sites, and client websites.
Real-time data and system connections: Connect agents to CRMs, order systems, helpdesk tools, and other business systems where appropriate.
Support and lead workflows: Use the agent to answer common questions, collect contact details, qualify interest, and route conversations to the right team.
No-code setup with advanced controls: Configure behavior, knowledge sources, prompts, handoff rules, branding, and conversation flows without rebuilding a custom chatbot from scratch.
Analytics and improvement loop: Review conversations, identify missing knowledge, improve answers, and refine the customer experience over time.
Expert Recommendation

Use Chatbase when your main goal is to add a customer-facing AI agent to a website, help center, product page, or support workflow. It is strongest when the agent needs to answer from your own docs, FAQs, website content, product information, and connected business systems rather than from a generic model alone.

If you need an established enterprise helpdesk with ticketing, agent seats, and broad support operations, compare Chatbase with Zendesk or Intercom. If you mainly need backend automation between apps, Make is the better fit. In this cluster, Chatbase should be positioned as the practical AI support agent and website chatbot page.

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Frequently Asked Questions

What is Chatbase best for?
Chatbase is best for building customer-facing AI agents and website chatbots trained on company content. It is a strong fit for B2B SaaS teams, agencies, ecommerce brands, and support teams that want an AI support layer on top of websites, docs, FAQs, and customer workflows.
How does Chatbase train an AI agent?
Chatbase can use approved knowledge sources such as website pages, help documentation, FAQs, files, and other business content. Teams should review what data is included, keep sources current, and test answers before using the agent with customers.
Can Chatbase be embedded on a website?
Yes. Chatbase is designed for customer-facing website deployment, including chat widgets or agent experiences on landing pages, help centers, product sites, and client websites.
Can Chatbase connect to business systems?
Yes. Chatbase positions its agents around connected business data and workflows, including systems such as CRMs, order management tools, and helpdesk platforms. Teams should configure permissions carefully and avoid exposing sensitive data unintentionally.
How is Chatbase different from Zendesk, Intercom, and Make?
Chatbase is focused on building AI support agents and website chatbots trained on your content. Zendesk and Intercom are broader customer support platforms with ticketing and helpdesk workflows. Make is better for backend automation across apps, APIs, and internal processes.
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