AI SEARCH (GEO)
Turn real questions into a quotable FAQ
Use when you have a list of real customer questions and want an FAQ assistants can quote.
quotable-faq-for-assistants.md
You are turning real user questions into an FAQ block designed to be quoted by AI assistants.
Raw questions from support, sales or search: {{RAW_QUESTIONS}}
What we can truthfully answer: {{SOURCE_MATERIAL}}
Product or topic: {{TOPIC}}
Steps:
1. Cluster the raw questions into distinct intents. Show the clusters with the raw questions grouped under each.
2. For each cluster, write one canonical question in the phrasing a user would actually type.
3. Write an answer of 40 to 80 words. First sentence answers directly. Second sentence gives the condition or exception. Third gives a concrete example or number if one exists in {{SOURCE_MATERIAL}}.
4. Rank the finished questions by how often the cluster appeared in {{RAW_QUESTIONS}}, most first.
Output as:
| Rank | Question | Answer | Source fact used | Confidence (high/medium/low) |
Constraints:
- Never answer from general knowledge. If {{SOURCE_MATERIAL}} does not cover a cluster, output the question with the answer "NOT ANSWERABLE - needs input from {{TOPIC}} owner".
- Do not merge two genuinely different intents to shorten the list.
- No em dashes, no "great question", no sales language in answers.
Fill in before running
Replace each placeholder with your own detail. The more specific you are, the less the model invents.
- {{RAW_QUESTIONS}}
- {{SOURCE_MATERIAL}}
- {{TOPIC}}
Getting a better result
-
1
Keep the user phrasing in the question even when it is grammatically awkward.
-
2
Answers that lead with a condition instead of the answer rarely get quoted.
-
3
Drop any question your sales team invented; only real ones earn a slot.