Keeping a shared FAQ page up to date from real questions
An agent reviews the questions customers actually asked by email and phone notes, then proposes new entries for the website FAQ. The owner approves wording before anything is posted.
What it is
The helper reviews the questions customers really asked by email and phone. It proposes new entries for your website FAQ page.
Who it is for
It is for owners whose website does not answer what people keep asking.
What you get
You get draft questions and answers to approve, so customers can find help on their own.
A real-life example
A small veterinary clinic answers the same questions all day. People ask about vaccine shots, boarding and what to bring to a first visit. Each month a helper reads the clinic's emails and call notes. It suggests new questions and answers for the website. The office manager approves each one before it goes online.
This is a made-up scenario. It does not describe a real organization.
How it works
- You: Gather a month of customer emails and call notes, with names removed.
- The AI: Reads them and finds the questions that come up most.
- The AI: Checks which ones are not on your FAQ page yet.
- The AI: Writes a short, clear answer for each new question.
- You: Fix any wrong facts, like prices, hours or rules.
- You: Publish the approved answers on your website.
Time saved
Typical estimate
By hand: about 2 hours each month.
With AI: about 30 minutes, plus your review.
These are rough guesses, not measured results. Your own times will vary.
Sample output
Example New FAQ entry
Question: What should I bring to my pet's first visit? Answer: Please bring any records from your last vet, a list of food and medicines your pet takes, and a stool sample if you can. Dogs should be on a leash. Cats should be in a carrier. Arrive ten minutes early so we can set up your pet's file.
Made-up names and numbers, shown only to give you an idea. Always read AI output before you use it.
What it involves
- Tools / helper type
- AI assistant + website editor
- Rough effort
- Medium (Low = an afternoon or less; Medium = a few days with some setup; High = a project)
Who should look it over
Review for accuracy and for anything that sounds like a promise or guarantee. Remove personal details from example questions.
Related use cases
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The result: You get a call-back list each morning, with the most urgent calls at the top.
Read more about Turning missed-call voicemails into a tidy follow-up listDrafting replies to common customer emails for review
You save good answers to the questions people ask often, like hours and service areas.
The result: You get replies that are ready to edit, so you read and send instead of typing from scratch.
Read more about Drafting replies to common customer emails for reviewPreparing a weekly appointment-reminder batch
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The result: You get a whole batch of reminders to review and send in one sitting.
Read more about Preparing a weekly appointment-reminder batchExamples are for general information. Tools and features change, so check with the vendor, and keep a person in the loop for anything involving money, private information or people in your care.