Corpus

Corpus

Corpus is an AI chatbot that answers customer questions 24/7 using your knowledge base to drive support efficiency.

Screenshots

Corpus screenshot

About Corpus

Corpus transforms customer support by deploying an intelligent chatbot powered by advanced AI technology. The tool connects directly to your existing data sources—including documentation, help centers, and knowledge bases—enabling it to deliver accurate, contextual answers to customer inquiries around the clock. By sourcing responses exclusively from your verified information, Corpus minimizes hallucinations and builds customer trust through transparent source citations. The platform reduces support ticket volume and response times significantly, allowing your team to focus on complex issues while automation handles routine questions. With 46% of customers preferring chat support on websites, Corpus addresses a critical expectation and converts support interactions into satisfaction opportunities. The tool seamlessly integrates with popular platforms like Intercom, ZenDesk, HubSpot, Notion, and Google Drive, fitting into your existing workflow without friction. Beyond basic chat functionality, Corpus offers customizable chatbot personalities, lead generation capabilities, and comprehensive analytics to understand customer behavior. You maintain full brand control through widget customization and can apply the tool across multiple scenarios—from product documentation and sales enablement to internal training and company wikis. Different pricing tiers accommodate varying business sizes and token requirements, ensuring you only pay for what you need.

Pros

👍 Reduces support costs by automating 24/7 responses to common questions 👍 Increases accuracy by pulling answers exclusively from your knowledge base 👍 Integrates seamlessly with major platforms like ZenDesk and HubSpot 👍 Provides actionable analytics on customer interactions and behavior 👍 Customizable personality and branding for consistent tone of voice

Cons

👎 Requires well-organized knowledge base for optimal accuracy 👎 May struggle with complex issues requiring human judgment 👎 Token limits vary by plan, affecting high-volume implementations 👎 Initial setup time needed to connect and optimize data sources