Chatbase lets you build custom AI chatbots trained on your own data, including websites, PDFs, and documents, without writing any code. Choose from multiple AI models like GPT-4o, Claude, and Gemini, then deploy your chatbot on your website, WhatsApp, Slack, Instagram, or Messenger in minutes. Built for businesses that want to automate customer support, capture leads, and answer common questions around the clock.

• Custom Data Training: Upload PDFs, documents, or website URLs to train your chatbot on your specific content. The bot pulls answers directly from your knowledge base, keeping responses accurate and relevant.
• Multiple AI Model Support: Choose from GPT-4o, GPT-5 Mini, Claude, Gemini, Grok, DeepSeek, and Llama models. Switch between models depending on your accuracy, speed, or cost preferences.
• AI Actions: Let your chatbot perform real tasks like booking appointments, checking order statuses, collecting lead information, or processing subscriptions through automated API actions.
• Multi-Channel Deployment: Deploy your chatbot across your website, WhatsApp, Instagram, Facebook Messenger, Slack, and email from a single dashboard.
• Analytics & Insights: Track chat volume, top queries, fallback rates, and lead captures. The Suggestions feature identifies gaps in your knowledge base so you can improve responses over time.
• Smart Escalation: Define rules for routing complex conversations to human agents when the bot can't handle a request on its own.
• Customizable Appearance & Personality: Match the chatbot's tone, style, and visual design to your brand. Adjust system instructions and response parameters to control how the bot communicates.
• API Access: Use the REST API to embed your chatbot inside custom apps or connect it to internal tools, with streaming responses and conversation endpoints.

• Extremely Fast Setup: Most users have a working chatbot answering real questions within 10 minutes. The no-code interface is straightforward with drag-and-drop uploads and clear labels.
• Flexible Model Selection: You're not locked into one AI provider. Pick from OpenAI, Anthropic, Google, Meta, and other models based on your needs and budget.
• Strong Analytics Dashboard: Weekly reports help you spot conversation gaps, track lead captures, and measure how well your bot handles inquiries. Users on G2 and Capterra praise this as a standout feature.
• Broad Channel Coverage: Deploy across websites, WhatsApp, Instagram, Messenger, Slack, and email from one place, which is more than most competitors offer at similar price points.
• Continuous Improvement Loop: Review conversations, identify where the bot failed, and edit responses directly from the dashboard. The Suggestions feature proactively flags missing knowledge.

• No Built-in Live Chat Handoff: There's no native live chat for human agents. Passing conversations to a human requires connecting a separate tool through Zapier or similar integrations.
• Limited Workflow Complexity: The platform handles straightforward Q&A well but lacks a visual flow builder for multi-step conversational logic. Complex routing, approvals, and conditional workflows require workarounds.
• Add-on Costs Add Up: Features like branding removal, custom domains, and extra agents can significantly raise the effective monthly cost.
• Credit-Based Pricing Can Be Hard to Predict at Scale: Different AI models consume different credits per response, which makes monthly costs fluctuate depending on usage patterns.

• Customer Support Automation: Deploy a chatbot on your website or messaging apps to handle repetitive questions about orders, billing, returns, and troubleshooting. Your support team focuses on complex issues while the bot handles the predictable volume 24/7.
• Lead Generation & Qualification: Set up your chatbot to ask qualifying questions about budget, timeline, and needs when visitors land on your site. It captures contact details and routes warm leads to your sales team without manual effort.
• Internal Knowledge Base: Train a chatbot on your company wiki, HR policies, and IT documentation so employees get instant answers instead of filing tickets or waiting for replies from other departments.
• E-commerce Product Recommendations: Build a shopping assistant that learns customer preferences through conversation and recommends products from your catalog. It works like a personal shopper who knows your entire inventory.
• Coaching & Service Intake: Let the chatbot handle initial client intake by gathering background information, explaining your services, and recommending starter options before scheduling a consultation with your team.
• Multilingual Customer Engagement: Serve global customers in their preferred language. The AI handles translations natively, so you can support international audiences without hiring multilingual staff.