Which tool to choose
The tool is the conversational assistant, to which you give the recurring questions and from which you have the answers written. The real source is the questions customers actually ask: gather them from emails, messages, phone calls. For standard replies, save them where you can call them up instantly; for FAQs, put them where customers find them (website, product page). Ask for a tone consistent with your business. The rule: AI to write clear, complete answers, you to verify they're accurate and to keep them updated when things change.
How to do it
- Gather the questions customers actually ask you most often, taken from real conversations.
- Give them to the AI and ask for a clear, complete answer in your business's tone for each one.
- Verify that every answer is accurate: real prices, times, conditions, not the ones the AI imagines.
- Publish them where they're needed and review them periodically, updating what changes.
A concrete example
Antonio constantly received the same five questions: opening hours, shipping costs, delivery times, returns, payments. He gave them to the AI, one by one, asking for clear and friendly answers. The assistant wrote them; he corrected two details the AI had assumed wrong — the real shipping times were different — and published it all as an FAQ on the website and as quick replies for email. The repeated questions collapsed: customers found the answer themselves, and when they wrote, he replied in a few seconds. The repetitive effort was gone, but he had verified the facts himself.
When it does NOT work (and how to fix it)
If an answer contains wrong information
AI can invent a plausible detail — a time, a condition, a procedure — that doesn't match your reality. Verify every answer before publishing it: a wrong FAQ generates disappointed customers and more requests. The facts must be yours, checked.
If the FAQs don't answer the real questions
If you start from imagined questions instead of real ones, the page is useless: customers keep asking about something else. Build the FAQs from the questions you actually receive, and add more as new ones emerge. A good FAQ reflects real doubts, not hypothetical ones.
If they age
Prices, times, conditions change, and an old FAQ gives false information with the authority of an official page. Review them periodically and update what no longer holds. A collection of answers must be maintained, not written once and forgotten.
A tip from someone who really uses it
Start from the real questions and keep the answers alive. The value of a collection of FAQs isn't in writing it — AI does that fast — but in reflecting customers' real doubts and staying accurate over time. Get into the habit of noting the questions you receive: every time one repeats, it's a candidate to become a standard reply. And every time something changes in your business, update the answers that concern it. An FAQ built on real questions and kept up to date does two things at once: it reduces repetitive work and improves the customer experience, since they find the right answer at once. An FAQ invented at a desk and never updated, instead, gathers dust and, worse, misleads: accuracy is worth more than completeness.
Frequently asked questions
Where do I get the questions for the FAQs?
From real conversations with customers: emails, messages, phone calls. The questions you actually and most often receive are the ones that deserve a standard reply. Avoid inventing them: you risk a page that doesn't answer what people are asking.
Do I have to verify the AI's answers?
Yes, always: AI can assume wrong details about prices, times or conditions. A public FAQ with wrong information disappoints customers and generates more requests. The facts must be the real ones of your business.
How often do I update them?
Every time something relevant changes — prices, times, conditions — and with a periodic review. A collection of answers is alive: keeping it accurate is part of the job, not an optional extra.
If I publish the FAQs written by AI, will customers be satisfied?
Only if the answers are true and answer the right questions. A well-written FAQ with a wrong figure, or one that doesn't touch customers' real doubts, makes things worse: it gives false information with an air of officialness, or leaves people without the answer they were looking for. AI gives you clear texts fast, but the accuracy of the facts and the fit with the real questions depend on you. Publishing the generated answers without verifying them and without starting from the real questions is the most common way to have a nice FAQ page that helps no one, or that creates new problems.