How to Create Content That Answers Specific Questions People Ask AI
To create content that answers the specific questions people ask AI, start from real questions rather than keywords. Collect the exact wording customers use in sales calls, support tickets, reviews and long search queries. Group the questions by need and decide which deserve their own page and which a section. Brief each piece around the real question, its conditions and the facts needed to answer it well. Content built this way tends to match what people ask AI assistants and what those assistants look for when they search.
Why do specific questions matter more than keywords for AI answers?
People ask AI assistants full questions with context: "What's the cheapest way to insure a van I only use at weekends?" rather than "van insurance". Engines turn those questions into searches, then look for passages that answer them. A page targeting "van insurance" in general rarely contains a passage about occasional weekend use. A page, or section, written for that question does.
Keywords still help you understand demand. But the unit you write for is the question, with its conditions.
How do you write content using the exact questions customers ask?
- Use their words in headings, lightly edited for clarity: "Can we switch payroll providers mid-year?" rather than "Provider migration considerations".
- Mirror their conditions in the answer: if customers ask about "a team of 10 with staff in two countries", answer for that case, then note how it changes for others.
- Keep their vocabulary. If customers say "rota" and your product says "workforce scheduling", use both, with the customer's word first.
- Answer the worry behind the question. "Is it hard to switch?" usually means "will we lose data or pay twice?". Answer that directly.
How do you turn sales and customer success questions into content?
Set up a simple, repeatable process:
- Collect. Ask sales and customer success teams to log questions word for word in a shared sheet, or pull them from call recordings, tickets and chat logs.
- Triage weekly. Group duplicates, tag each by stage (researching, comparing, deciding, onboarding) and mark the ones asked most often.
- Assign. Pick the top questions for the month and assign a writer and a subject-matter expert for each.
- Interview. A 15-minute conversation with the person who answers the question every day produces better material than any desk research.
- Publish and share back. Give sales and success teams the link, so they can send it to prospects and customers, which also tests whether the answer works.
Questions that come up in sales calls are often exactly the ones buyers put to AI assistants before they ever talk to you.
How do you build content briefs around real AI prompts?
A brief built on a real prompt looks different from a keyword brief:
| Brief field | What to fill in |
|---|---|
| Question | The real wording, plus two or three close variants |
| Who asks | Role, company type, stage of the decision |
| Conditions | Size, budget, location, timing, integrations that change the answer |
| Direct answer | One or two sentences the page must open with |
| Facts needed | Prices, specs, timings, rules, examples |
| Follow-up questions | What they will ask next |
| What current AI answers say | Summary and cited sources, and what they get wrong or leave out |
| What we add | First-hand data, examples or expertise others lack |
The "what current AI answers say" field is important: run the question in two or three engines while writing the brief, so you know the bar to beat. For using citation data in briefs, see how to use prompt-level citation data to improve content.
Should each question get its own page or a section?
- Own page when the question reflects a distinct need, has several follow-ups, and could bring a buyer directly to you: "How much does a kitchen remodel cost in Denver?"
- Section on a broader page when it is a sub-question of a bigger topic: "Do you need a permit to move a sink?" on a kitchen remodel guide.
- FAQ entry when the answer is short and factual: "Do you work weekends?"
- Merge when two questions would get the same answer, to avoid thin, overlapping pages.
A good test: if the full answer would be a paragraph, it is a section or FAQ; if it needs several sections, it is a page.
Does the They Ask, You Answer approach help in SEO and AI search?
Yes, and it fits AI search particularly well. They Ask, You Answer is a content philosophy popularised by Marcus Sheridan: answer the questions buyers actually ask, honestly and in detail, including ones businesses usually avoid. Its "Big 5" topics map closely onto the questions people put to AI assistants:
| Big 5 topic | Typical AI question | Why it helps |
|---|---|---|
| Cost and price | "How much does X cost for a company our size?" | Engines need specific figures to answer budget questions |
| Problems | "What are the downsides of X?" | Honest limits build trust and get cited for "is it worth it?" questions |
| Comparisons | "X vs Y: which is better for…?" | Comparison questions are common and often lack good sources |
| Reviews | "Is X any good?" | Balanced reviews, including of competitors, are widely referenced |
| Best-of lists | "Best X for Y" | Lists that include competitors fairly are the format engines cite most for recommendations |
The approach works because it produces exactly the specific, candid, well-structured answers that both buyers and AI engines look for. Its main demand is courage: publishing prices, admitting limits and discussing competitors fairly.
What does a question-to-page plan look like?
An illustrative plan for a small accounting firm, built from three months of sales questions:
| Real question | Asked | Content decision |
|---|---|---|
| "How much does an accountant cost for a limited company with one director?" | Often | Own page with price ranges and what drives them |
| "Can you take over mid-year from our current accountant?" | Often | Own page on switching, with a step-by-step timeline |
| "Do you do bookkeeping as well?" | Sometimes | Section on the services page |
| "What's the deadline for filing company accounts?" | Sometimes | FAQ entry linking to the official guidance |
| "Are you better than an online accountant?" | Occasionally | Comparison page, fair about both options |
How do you keep question-based content accurate?
Prices, rules, deadlines and product details change. Give each page an owner, review key pages on a schedule, and update them whenever sales hears a new objection or a fact changes. Outdated answers are worse than none, because engines may repeat them.
What do people ask about question-based content?
Where do I find the questions if I have no sales team?
Use customer emails, reviews, support messages, long question-style queries in Search Console, and the questions people ask in industry communities. A step-by-step method for gathering them is in finding the questions people ask ChatGPT about a business.
Should I publish my prices?
Where you can, yes, at least as ranges with what drives them. Price questions are among the most common, and without your figures engines use someone else's.
Is question-based content just FAQ pages?
No. FAQs suit short answers. The most valuable questions deserve full pages with specifics, examples and follow-ups.
How many question pages should a small business start with?
Five to ten of the most frequently asked, highest-value questions is a strong start. Add more monthly as new questions come in.
Published by The Kovmere Team · updated Sep 28, 2026 · More resources