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AI FAQ Generator
Turn a website or a description of your business into ten ready-to-publish questions and answers.
In short
The AI FAQ Generator reads a website URL or a short description of a business and writes ten frequently asked questions with answers, phrased the way customers actually ask them. Output is plain text you can copy straight onto a page. It is free, needs no signup, and stores nothing you type.
How do you write a good FAQ page?
A good FAQ answers the questions customers actually ask before buying — price, timescale, coverage area, what happens if something goes wrong — in the words they use, not the words your marketing uses. Each answer should be two to four sentences and complete on its own, because search engines and AI assistants extract single answers out of context. Questions you wish people asked belong in your sales copy, not your FAQ.
Why most FAQ pages get ignored
The typical FAQ page is written from the inside out. It answers 'What makes you different?' and 'Why choose us?' — questions no customer has ever asked — while leaving out 'How much does it cost?', 'Do you cover my area?' and 'How soon can you come?', which is what people actually want to know before they contact you.
The fix is not a longer page. It is to write down the questions your team answers on the phone every week, in the caller's words, and answer them directly. If your team spends fifteen minutes a day explaining the same thing, that is your first FAQ entry, and it will do more work than the other nine put together.
What a good answer looks like
Two to four sentences, self-contained, and specific. Self-contained matters more than it used to: search engines and AI assistants pull single answers out of the page and show them alone, so an answer beginning 'As mentioned above' arrives at the reader as nonsense.
Specific matters because vagueness reads as evasion. 'Prices depend on the job' tells a customer nothing and costs you the enquiry. 'Most kitchen installations run between £4,000 and £9,000 depending on units and worktop' answers the question, filters out people who were never going to buy, and makes the ones who stay easier to close.
- Lead with the answer, then explain — never the other way round
- Use the customer's words, including the ones your industry considers wrong
- Give real numbers and ranges wherever you can
- One question per entry, so each can be extracted on its own
Where to put the answers once you have them
A published FAQ page is the obvious home, and it is worth having. But a page only helps the visitors who find it, and most never look — the questions arrive in the chat window, the contact form and the phone instead.
The higher-leverage move is to feed the same answers to whatever handles those enquiries. Loaded into an AI agent on your site, an FAQ stops being a page someone has to find and becomes the answer that arrives the moment the question is asked — including at 11pm, when the alternative is a form and a wait until morning.
Frequently asked questions
Where do the questions come from?
If you give a URL, the tool reads that page's visible text and derives questions from what the business actually offers. If you give a description, it works from that. Either way the questions are grounded in the input rather than a generic template, which is what makes them worth publishing.
Do I need to edit the answers before publishing?
Yes, always check them. The tool infers from what it can read, so any specific claim — prices, response times, coverage areas, guarantees — must be verified against what you actually offer. Treat the output as a first draft that saves an hour, not finished copy.
Will an FAQ page help my search rankings?
Indirectly. FAQ rich results were substantially reduced in Google's search results in 2023 and now appear mainly for a small set of authoritative sites, so schema alone will not win you visibility. What still works is that a well-written FAQ matches the long-tail questions people type, and gives AI assistants a clean passage to quote.
Is what I paste in stored?
No. The text is sent to the language model to generate the answer and is not written to a database. Nothing is kept once the response is returned.
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