Buyer Question Finder: A Free AnswerThePublic Alternative for the Questions Buyers Ask Before They Buy

Every content plan starts with the same blank page. You know your buyers have questions, and you know they search for answers before they ever talk to you. What you don't know is which questions, worded how, and which ones lead to a sale.

Keyword tools hand you two thousand phrases and leave the sorting to you. This buyer question finder does the sorting. Type a topic, and you get up to 30 real questions people search, grouped by where the buyer is in their decision. Next to each one is how many people search it a month. For the top three, you also see what ChatGPT searches for when it answers them.

It's free, there's no signup, and it's built for one job, finding the questions worth writing a page for.

What the buyer question finder gives you

The result is a short, sorted list instead of a long, raw one. It's up to 30 questions, cut down from many more, with the near-duplicates folded together.

The stages matter more than the volumes. A question with 10 searches a month from someone ready to buy can be worth more than a question with 10,000 from someone who's just curious.

One thing worth knowing about where the questions come from. They're the questions people type into Google, with real monthly search numbers, plus the ones Google itself shows in People Also Ask. We don't claim to see what people type into ChatGPT, since no one outside the AI companies can. What we can show is how ChatGPT searches the web when it answers those same questions.

The three stages, and the page each one needs

Sorting by stage tells you what kind of page to write, as well as the topic. Here's what each stage looked like in our own runs.

Most sites have plenty of Learning content and almost nothing for the other two stages. That's backwards for anyone who wants sales. The Comparing and Ready to buy questions come from people with a budget and a short list.

A free AnswerThePublic alternative, built for buying intent

If you've used AnswerThePublic, the idea will feel familiar. You type a topic and get back the questions people ask about it. The difference is in what happens after that.

Instead of every question with the word in it, you get up to 30, sorted by buying stage. Every question shows its monthly searches, so you're not guessing which ones matter. Near-duplicates are folded into one, and the questions Google shows in People Also Ask keep their place. For the top three, you see the searches ChatGPT runs to answer them, which tells you what an AI answer will go looking for.

The duplicate folding took us longer to get right than anything else in the tool. Search data is full of the same question in a different word order, like "best software email marketing" and "best email marketing software". Our first version listed both. Now it matches questions on the set of words that matter and keeps the wording that reads like a real search. It took three rounds of fixes before the lists looked like something a writer could use.

What we found across four topics

We ran four topics through the finder in October 2026, chosen to cover a software purchase, a home service, a product and a work tool. Each run returned 30 questions.

Roof replacement had no Comparing questions at all. People don't shop roof brands, they shop prices. Eighteen of its 30 questions were Ready to buy, almost all about price, and even the Learning questions leaned on money, like whether insurance pays for a new roof. A roofing company that writes one honest cost guide with real ranges is answering most of its market in one page.

Email marketing software went the other way. Most of its questions had tiny volumes, many just 10 searches a month, and the biggest was 390. A software team looking at those numbers might think the topic is dead. It isn't. Those are the exact questions buyers type when they're about to pick a tool, and each sale can be worth hundreds or thousands a year.

Standing desks split evenly between Learning and Comparing, with health questions on one side and "best" questions on the other. That's a market where a buyer needs reassurance first and a short list second, so both kinds of page earn their keep.

What ChatGPT searched for the top questions

For each topic, the finder sends the top three questions through ChatGPT search and shows the searches it ran. The same habits showed up in every topic.

• It added the current year to almost every search, looking for pages that are clearly up to date.
• It added "official pricing" to software questions, and for one question it searched a single vendor's pricing page directly.
• It added brand names to "best" questions, picking a short list of known names before it read anything.
• It asked for averages and cost per square foot on the roofing questions, wanting a real number.

That tells you what your page needs to be found and quoted. Put the year on it, show real prices, name the options buyers compare you with, and give numbers instead of "it depends".

How to turn 30 questions into a content plan

A list of questions only helps if it becomes pages. Here's the order we'd work in.

1. Group close variants together. "Does homeowners insurance cover roof replacement" and "will home insurance cover roof replacement" are one page, not two.
2. Start with Ready to buy. These are the questions closest to revenue, and fewer sites write good pages for them.
3. Write the Comparing pages next. Name the real options, give real prices and say who each one suits, including when it isn't you.
4. Fill in Learning last, and link each guide to the pages above it.
5. Answer every question in the first two sentences of its page, then go into detail.

In our runs, each list of 30 grouped down to about 9 to 13 pages once the variants were merged. At two pages a week, that's well over a month of writing for one topic.

What a good answer page looks like

Once you've picked a question, the page itself decides whether it brings visits. The pages that win search results and AI answers tend to share a few traits.

• The question, or something close to it, is the page title and the main heading.
• The first two sentences answer it, with a number or a clear yes or no where that fits.
• The details come next, in short sections with headings that read like follow-up questions.
• Prices, ranges, dates and named options appear in plain text, not hidden in images or behind a form.
• A short FAQ at the end picks up the close variants you grouped together.

A page built that way serves the reader who lands on it and gives an AI engine a clean passage to quote. Our GEO checker will score any finished page against most of these points in a few seconds.

Questions to skip, even when they look tempting

Not every question in the list belongs on your site. A few will come from people you can't help, and writing for them burns time you could spend on buyers.

Our own runs had good examples. The email marketing list included "how to create your own email marketing software", which comes from developers building a tool, not teams buying one. The roofing list included RV and motorhome roof replacement, which a home roofer can't sell. It also had "what do you call someone who installs roofs", a question with a one-word answer and no buyer behind it.

Ask two things about each question before you plan a page. Would the person asking it ever pay you? And could you answer it better than anyone else, with your own prices, process or experience? If both answers are yes, it goes on the plan. If either is no, cross it off and move on.

Why the list changes

Questions move. New products launch, prices change, a rule changes and suddenly everyone's asking about it. A list you pulled six months ago is a decent start and a poor plan.

Results are cached for a week per topic, which is about as fast as these lists change in a meaningful way. Run your main topics again every quarter, and whenever something big happens in your market.

Where RankControl fits

RankControl does this work every month without the spreadsheet. It finds the questions buyers in your market actually search, and plans them onto a content calendar. Then it writes and publishes up to 100 articles a month as native posts on your own site, each written against the pages already ranking for that question. Auto-publish is off by default, so you can read each one first.

It then tracks 50 of your buyer questions every week across six AI engines, Google AI Mode included, next to your Google rankings and the visits AI answers send you. Traffic from Google and AI search comes first. Mentions inside AI answers take longer, and they mostly come from other sites linking to and talking about you. Link Control helps there by finding sites to pitch for each article and sending the emails from your own inbox once you approve them.

You can do all of this by hand. Pull questions for each topic, group the variants, plan the calendar, write two pages a week and check your questions in each AI engine every week. That's 20 to 30 hours a month for a small team. Or RankControl can run it for $400 a month, with a 7-day free trial.