Prepare content so the AI Assistant can provide accurate and relevant responses. Well-structured resources improve search, support common queries, and help the product handle complex interactions.
1. Identify key knowledge sources
Ensure the product can access all relevant information.
- Gather documents such as PDFs, Word files, FAQs, product manuals, and knowledge bases.
- Identify internal sources such as databases, wikis, or help desk articles.
- Group content into categories (for example, product information, troubleshooting, employee FAQs).
2. Organize content into clear topics
Make content easy to search and understand.
- Break large documents into smaller sections focused on a single topic.
- Use categories that reflect common user questions.
3. Keep content up to date
Maintain accuracy and relevance.
- Review and update content regularly.
- Set a review schedule (for example, quarterly).
- Remove or archive outdated information.
4. Adapt content for different audiences
Provide relevant responses for different user groups.
- Segment content by audience (for example, country or role).
- Adjust tone, complexity, and level of detail as needed.
5. Format content for processing
Ensure the product can read and use the content.
- Use supported formats such as PDF, Word, or plain text.
- Include text for any media content so it can be indexed.
- Structure content with headings and clear sections.
6. Maintain content over time
Keep the content library accurate and organized.
- Assign ownership for content management.
- Provide a way for users to report issues.
- Update content to reflect organizational changes.