AI Chatbot Knowledge Base Setup For Agencies
How agencies can prepare a clean AI chatbot knowledge base from client websites, documents, FAQs, and sales materials.
Key takeaways
- A chatbot knowledge base needs approved, current, and client-specific information.
- Agencies should remove outdated claims before launch.
- Knowledge preparation can be sold as a premium implementation step.
Collect approved sources
The knowledge base should start with approved client content. Website pages, FAQs, brochures, policies, and sales notes can be useful if they are current and accurate.
Agencies should confirm what the client wants the AI to use before launch.
Clean before importing
Old claims, duplicated pages, vague service descriptions, and inconsistent pricing language can create poor chatbot answers. Cleaning content is part of the implementation value.
This step also helps the client improve its website content.
Package knowledge updates
Knowledge setup is not a one-time task forever. Agencies can include monthly updates when the client adds services, changes offers, launches campaigns, or receives repeated unanswered questions.
This supports ongoing retainers.
Frequently asked questions
What should go into a chatbot knowledge base?
Use approved service pages, FAQs, policies, pricing guidance, intake rules, brand messaging, and operational documents that the client wants the AI to reference.
What should be excluded?
Exclude outdated pages, unapproved claims, private internal notes, sensitive customer data, and information the AI should not use.
How often should knowledge be updated?
Update it whenever services, pricing guidance, policies, campaigns, or common customer questions change.
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