AI Tools for Knowledge Base and Self-Service
A well-maintained knowledge base is the highest-leverage support investment — it deflects tickets before they're raised. AI makes it faster to create articles, identify gaps, and keep content current as your product evolves.
How teams typically do this
Best AI tools to build & improve a knowledge base
Knowledge base creation integrated directly with your AI chatbot. Fin AI uses the articles to answer customer questions and surfaces gaps when it can't find an answer.
The standard for internal and external documentation at scale. Atlassian Intelligence drafts, summarises, and improves articles. Best for teams that need both internal wiki and customer-facing docs.
Purpose-built knowledge base software with AI writing assistance, gap analysis, and analytics showing which articles are and aren't deflecting tickets effectively.
Prompts to get started
Every resolved support ticket is a knowledge base article waiting to be written. This prompt does it in seconds.
Turn this support conversation into a knowledge base article. [PASTE THE SUPPORT CONVERSATION] Please write an article that: 1. Has a clear, searchable title (write 3 options) 2. Explains the problem in plain language 3. Provides the solution step by step 4. Includes any relevant warnings or edge cases from the conversation 5. Ends with 'Did this answer your question?' and suggests 2 related articles Tone: [e.g. friendly and simple, technical and precise] Audience: [e.g. end users, IT administrators, non-technical business owners]
Use search and ticket data to find what customers can't find.
Identify gaps in our knowledge base. Data: [PASTE: top searched terms with no results, most common ticket topics, search analytics] Current coverage: [describe topics you have] Deflection rate: [% finding answers without contacting support] Top contact reasons: [list 5-7] Please identify: 1. Topics with high demand but no article (create first) 2. Articles that exist but aren't being found (nav or SEO issue) 3. Articles that exist but customers still contact support (quality issue) 4. Seasonal gaps Return a prioritised list with expected deflection impact for each.
If customers still contact support after reading it, rewrite it.
Rewrite this help article.
[PASTE YOUR EXISTING ARTICLE]
What it should help customers do: [describe]
What they still ask support about after reading: [describe]
Customer technical level: [non-technical / moderate / technical]
Rewrite to:
1. Lead with the answer, not background
2. Use numbered steps for processes
3. Write in second person ('you will see' not 'the user will see')
4. Remove jargon or explain it in plain language
5. Add 'If this didn't help' section at the bottom
Also suggest a better title and meta description.Plan articles alongside product releases and support trends.
Plan a knowledge base content calendar. Upcoming product releases: [what's shipping in next 3 months] Top support ticket categories: [list] Seasonal patterns: [periods with higher volume] Known gaps: [topics you know you need] Capacity: [articles per month] Please create a 3-month calendar with: 1. Priority 1 articles (must-have before a release or high-impact) 2. Priority 2 articles (important, not urgent) 3. For each: title, description, trigger (why now), estimated length 4. Review process: who approves before publishing 5. Maintenance schedule: which existing articles need quarterly review
Every resolved support ticket is a knowledge base article waiting to be written. This prompt does it in seconds.
Turn this support conversation into a knowledge base article. [PASTE THE SUPPORT CONVERSATION] Please write an article that: 1. Has a clear, searchable title (write 3 options) 2. Explains the problem in plain language 3. Provides the solution step by step 4. Includes any relevant warnings or edge cases from the conversation 5. Ends with 'Did this answer your question?' and suggests 2 related articles Tone: [e.g. friendly and simple, technical and precise] Audience: [e.g. end users, IT administrators, non-technical business owners]
Use search and ticket data to find what customers can't find.
Identify gaps in our knowledge base. Data: [PASTE: top searched terms with no results, most common ticket topics, search analytics] Current coverage: [describe topics you have] Deflection rate: [% finding answers without contacting support] Top contact reasons: [list 5-7] Please identify: 1. Topics with high demand but no article (create first) 2. Articles that exist but aren't being found (nav or SEO issue) 3. Articles that exist but customers still contact support (quality issue) 4. Seasonal gaps Return a prioritised list with expected deflection impact for each.
If customers still contact support after reading it, rewrite it.
Rewrite this help article.
[PASTE YOUR EXISTING ARTICLE]
What it should help customers do: [describe]
What they still ask support about after reading: [describe]
Customer technical level: [non-technical / moderate / technical]
Rewrite to:
1. Lead with the answer, not background
2. Use numbered steps for processes
3. Write in second person ('you will see' not 'the user will see')
4. Remove jargon or explain it in plain language
5. Add 'If this didn't help' section at the bottom
Also suggest a better title and meta description.Plan articles alongside product releases and support trends.
Plan a knowledge base content calendar. Upcoming product releases: [what's shipping in next 3 months] Top support ticket categories: [list] Seasonal patterns: [periods with higher volume] Known gaps: [topics you know you need] Capacity: [articles per month] Please create a 3-month calendar with: 1. Priority 1 articles (must-have before a release or high-impact) 2. Priority 2 articles (important, not urgent) 3. For each: title, description, trigger (why now), estimated length 4. Review process: who approves before publishing 5. Maintenance schedule: which existing articles need quarterly review