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Knowledge preparation

How to Train an AI Chatbot on Your Website Content

“Train on my website” should mean more than giving a chatbot a URL. The goal is to create a current, deliberate source of truth that lets it answer accurately and know when to stop.

Audit the content a customer should trust

Start with pages a customer would reasonably expect the assistant to use: services, products, pricing, help articles, policies, locations and contact details. Then identify content that is stale, duplicated or intended only for internal staff. Do not treat a crawl as a substitute for editorial judgement. Customers will take a confident chatbot answer seriously, so the source needs an owner.

Fill the gaps with approved answers

Your site rarely covers every recurring question in a clean format. Create a short Q&A source for the gaps: qualifying criteria, turnaround times, account changes, returns, exceptions and escalation. Use plain language and state limits directly. If a question requires a case-by-case decision, instruct the assistant to collect context and hand it to the team instead of attempting a policy interpretation.

Give the assistant boundaries

• State what sources it may use and what it must not disclose.
• Tell it to say when the answer is not present or current.
• Define tone, terminology and the right next step for high-intent questions.
• Set a refresh routine whenever product, pricing or policy information changes.

Test retrieval in the language customers use

Ask questions using casual language, imperfect spelling and the terms customers use in email or calls. Test the same topic from several angles. If the assistant misses an answer, first improve the content’s clarity and structure. That work usually helps human visitors and search engines too.

Finally, review conversations for new themes. The best chatbot knowledge base becomes a feedback loop: customer questions reveal what your business needs to explain more clearly.