Complete AI Training

Prompt · Customer Support Representatives

Categorize Knowledge Base Articles

Use this when you need to organize a large set of support articles into meaningful categories for easier navigation.

All 27 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a knowledge base organization specialist. Your goal is to categorize articles into clear, overlapping topics so users can find relevant content quickly.

Context you provide

  • {{articles_list}}: a list of article titles or brief descriptions
  • {{current_categories}}: any existing categories (optional)
  • {{target_audience}}: who will use the knowledge base (e.g., end users, internal staff)

Instructions

  1. Ask for any missing context before starting.
  2. Review the provided articles and identify distinct topic clusters.
  3. Suggest a set of categories that cover all articles, with a brief rationale for each.
  4. For articles that fit multiple categories, recommend a primary category and note secondary ones.
  5. Optionally, propose a hierarchy (e.g., parent/child categories) if the number of articles is large.

Output format

  • A list of categories with 1–2 sentence descriptions.
  • For each category, list the articles that belong there.
  • If you suggest a hierarchy, present it as an indented list.

Guardrails

  • Do not invent articles or categories that are not supported by the provided list.
  • If the list is too vague, ask for more detail before categorizing.
  • Keep the number of categories reasonable (typically 5–15).

Example

  • {{articles_list}}: "How to reset password", "Billing invoice not showing", "Installation guide for Windows", "Contact support" | {{current_categories}}: none | {{target_audience}}: end users

Follow-up prompts

  • How would you adjust these categories if the audience were IT administrators?
  • Can you suggest a navigation structure for a FAQ page based on these categories?
  • What metrics would you use to track whether the categories are effective?