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As of 13 August 2026, AI can write FAQs for your UK business.
Most people should hand this to a purpose-built tool.
Can you do it?
5 minutesto a draft.
30 minutesto something you’d act on.
Cost, all in£0
Skill neededchat-fluent
Who has to check ityou
What the alternative costsA purpose-built option is CustomGPT, which creates a no-code chatbot from your business content with citations.
If this goes wrong: customers follow an answer based on an old price, policy or process and your team has to correct the resulting complaint or order.
What to actually do
Use a tool built for this
The route this page recommends
Do it yourself
Second choiceA chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- Open your current price list, product or service descriptions, ordering process, delivery information, returns or cancellation policy, support details and complaints procedure.
- Copy the relevant text into one document and remove superseded prices, policies, contact routes and process steps.
- Paste that source material into the prompt under the matching headings, adding the business type, customer audience and the date of each source.
- Ask the chatbot to produce the question list, FAQ and fact-check table in the same response.
- Compare every drafted answer with the current source document, especially prices, timings, eligibility, exceptions and contact details.
- Ask the chatbot to rewrite any answer that is unsupported, ambiguous, too broad or longer than customers need.
- Send the checked draft to the person who owns customer support or the relevant policy, then publish it in your help centre or customer-facing website.
Prompt
Write a customer-facing FAQ for my UK business using only the source information below. Do not invent facts, prices, delivery times, guarantees, legal rights, technical details or contact routes. If the sources do not answer a question, write "This is not covered by the information provided" and list the missing information separately. Business and audience: [describe the business and who the customers are] Products or services: [paste current product or service information] Prices and charges: [paste the current price list and relevant conditions] Ordering, booking or account process: [paste the current process] Delivery, returns, cancellations or changes: [paste the current policy] Support and complaints route: [paste contact details, opening hours and escalation route] Known exceptions: [paste exceptions and eligibility rules] Source documents and their dates: [paste the source names and dates] First, list the ten to fifteen customer questions most worth answering, including questions about costs, timing, eligibility, changes, problems and contacting us. Then write the FAQ with one direct answer beneath each question. Use plain British English, short paragraphs and headings. Keep claims precise and preserve any conditions or exceptions. Mark any answer that depends on a source that may be out of date. Finish with a fact-check table showing each answer, its supporting source, and any missing or ambiguous information I must resolve before publishing.
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
Hand it to a person
The distant thirdA person who owns the outcome does this end to end, worth it when the failure is dear.
What it gets wrong
- AI cannot know which customer questions matter most unless you provide support tickets, search terms or staff experience.
- AI cannot decide whether an exception in an internal policy should be exposed publicly or escalated to a person.
- AI cannot confirm that your source documents are current or that a price and process match what your systems actually do.
- AI can make a complete-looking FAQ while omitting an awkward case that matters to a customer.
- The business still owns the consequences of an answer that misleads a customer or conflicts with its terms.
Even on a YES, the friction has a name: context depth, judgement under ambiguity and stakes of error.
How we scored this
Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 2 |
| Verification | 1 |
| Liability | 1 |
| Effort delta | 2 |
| Total | 8 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT write FAQs for my business?
- Yes. Give it your current product information, prices, processes, policies and support routes, then check every answer against those sources before publishing.
- How do I get AI to write accurate FAQs?
- Tell it to use only the source material you provide and to flag anything unsupported or unclear. Include current exceptions and source dates, then compare each answer with your own records.
- Can AI create FAQs from my website?
- Yes, if the website contains the information customers need and you provide or connect the relevant pages. You still need to check that the pages are current and that important customer cases have not been missed.
- Is it safe to publish AI-written FAQs?
- It can be safe for routine, fact-based information after a person checks it. Your business remains responsible for errors, so do not publish answers that you cannot match to a current policy, price list or process.
Nearby answers
- Can AI answer customer questions using my help centre?YES
- Can AI check my help articles for grammar mistakes?YES
- Can AI draft answers to common customer questions?YES
- Can AI stop my customer service chatbot making up answers?PARTLY
- Can AI write a customer FAQ for my UK business?YES
- Can AI write a customer password reset guide?YES
Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.
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