Free tool / Demand research
150 buyer questions for what you sell, sorted into the pages worth building.
Name what you sell → 150 buyer questions, sorted by buying stage, in 20 seconds.
Try a preset
20 seconds • no signup • nothing leaves your browser
- 01See 150 buyer questions sorted into six real buying stages, from problem-aware to last doubts.
- 02Identify the page type and answer format each question needs, so you stop guessing formats.
- 03Spot which question clusters justify a calculator, quiz or comparison tool instead of another page.
- 04Export the map as Markdown or CSV, or copy a link with your inputs already filled in.
A note on these numbers
These are question patterns, generated from a library of stems buyers actually type — not live search-volume data, and not scraped from anyone's results page. Some read slightly ungrammatical on purpose ("how much does dental implants cost") because that is genuinely how people type them: matching the query beats fixing the grammar. Check real volume in a keyword tool before you commit a budget to any single one. Full method below.
Buying stages
Minimum buying intent
Map legend — six buying stages
The same questions, regrouped into what you should actually build — largest page first. Each suggested H1 is a starting line, not a finished headline.
Cost, comparison, readiness and cost-of-waiting questions do not want an article — they want the reader's own numbers. These clusters justify building one.
Add a service to begin.
No question patterns to show yet
Nothing renders as a bare zero here — this is why the map is empty right now.
Methodology
How this map is built
Published in full so you can check it, argue with it, or quote it. Nothing here is a live database lookup — it is a curated pattern library, and the honest limits of that are below.
-
1
Fill your service into 150 hand-written stems
Every stem is a template like
"how much does {service} cost"or"{service} vs {alternative}". Your service, audience, city and named alternative fill the placeholders. A stem that needs a placeholder you have not supplied is skipped rather than shown half-filled or invented. -
2
Sort by buying stage, not alphabetically
The 150 stems are pre-tagged across six stages — problem aware, researching, comparing, choosing who, cost & risk, last doubts — because a reader asking "what is {service}" and a reader asking "is {service} worth it" need completely different pages, even when the topic is identical.
-
3
Tag every question with a page type and an answer format
Each stem carries a page type (pricing, comparison, local, trust and eight more) and an answer format (a 40–80 word answer-first paragraph, a table, a checklist, a calculator). The Pages lens groups by page type and sorts largest first, so you build the page that answers the most questions before the page that answers one.
-
4
Weight by buying intent, flag what needs a place name
Every stem carries a 1–3 buying-intent weight — cost, comparison and "worth it" questions sit at 3; definitional questions sit at 1 — and a boolean for whether it needs a location. The filters let you narrow to either without hiding the count of what got filtered out.
-
5
Pattern-match the result into tool archetypes
Eight tool archetypes — cost calculator, readiness quiz, comparison tool and five more — each carry a regular expression matched against your generated questions. Any archetype with two or more matches is ranked by total intent weight and shown in the Tools lens, pitched against your specific inputs.
What this is built on
- Buying-stage structure — a six-stage extension of the standard awareness → consideration → decision marketing funnel, split further because "choosing who", "cost & risk" and "last doubts" are where local-service and B2B buying decisions actually stall, not just "consideration".
- Page-type and format tagging — the informational / commercial-investigation / transactional intent classification used throughout SEO practice, matched to the answer shape (prose, table, steps, calculator) an answer engine can extract.
- Stem phrasing — hand-written to match how people actually type into a search box or an AI chat prompt, including short, ungrammatical shorthand, rather than professionally edited headline phrasing.
This is a pattern library curated in 2026 from common buyer phrasing across dozens of service categories. It is not a scrape of any search console, and it does not carry live search volume, competition or trend data. Confirm real demand for any specific keyword in Google Keyword Planner, Ahrefs or Semrush before committing a content or ad budget to it.
Questions people ask about finding buyer questions
How do I find the questions my customers are asking?
Start from what you sell, not from a keyword tool. This map fills your service into 150 stems built from how buyers actually phrase demand, across six stages from not yet knowing the category exists to stress-testing the decision. Add your audience, city and the alternative you lose deals to, and it separates into the pages you should build now and the tool worth building instead. That beats guessing, because it is grounded in how people actually type.
What is search intent and why does it change the page you build?
Search intent is what the searcher wants to do next — learn, compare, choose or buy — and it decides a page's shape, not just its topic. "What is {service}" wants a short definition; "{service} vs {alternative}" wants a table; "how much does {service} cost" wants a number. Match the format to the intent and an answer engine can lift the answer directly. Publish a wall of prose against a comparison query and neither a human nor a model will use it.
How many pages does a service business actually need?
Fewer than most sites have, and more than most single-page sites think. This map collapses buyer questions into around eight to twelve distinct page types — pillar, service, comparison, pricing, FAQ, local, trust and a few others — not one page per keyword. One well-built pricing page can answer two dozen cost questions; one comparison page can answer two dozen "versus" questions. The number that matters is page types, not question count.
What questions should a local business answer on its website?
Whichever ones people actually search with a place name attached, and no more. This map tags roughly a sixth of its stems as local — "best {service} in {city}", "{service} cost near me", "emergency {service} in {city}" — and nothing else. Build one location page per place you genuinely serve, answering cost, availability and credentials for that place specifically. A page for a city you do not serve is a trust problem waiting to be found by the reader, or by a model.
Which questions are worth building a tool for rather than a page?
Cost, comparison, readiness and cost-of-waiting questions justify a tool, because the answer depends on the reader's own numbers and an article can only give a range. "How much does {service} cost" needs a calculator that takes the reader's variables; "is it worth waiting" needs a number, not reassurance. This map's Tools lens flags exactly which of your questions cluster into that shape, and pitches the calculator, quiz or comparison tool each cluster implies.
Common follow-ups
Is this the same as search-volume data?
No, and the page says so twice on purpose. Every question here is a filled-in template from a curated stem library, not a number pulled from Google Keyword Planner, Ahrefs, Semrush or anyone's search console. It tells you the shapes buyers search in, not how many people search each one this month. Use it to plan content, then confirm volume in a real keyword tool before spending a budget.
Why do some of these questions read a bit clumsy?
Because that is how people genuinely type them. "How much does dental implants cost" is not a typo in this tool — it is closer to real query behaviour than the grammatically correct version most copywriters would write instead. Matching the query beats fixing the grammar, both for classic search and for how an AI assistant matches a prompt to a page. That is a deliberate choice, not a bug.
Can I use this for a service that is not in the presets?
Yes. The presets are examples, not a limit — type any service, audience, city and alternative and the same 150 stems fill in around them. The stems are written generically enough to work for professional services, home services, health practices, agencies and most things a person hires or buys as an ongoing service.
Does anything I type here get sent anywhere?
No. Generation runs in a single JavaScript file in your browser — there is no server call and no account. Copying the result link encodes your inputs and filters into the URL itself, so treat a shared link the way you would treat the words in it.
Next
A question map is the plan. These check the execution.
Knowing what to build is half the job. The other half is writing it so an answer engine can actually lift it, and pricing what the map turns up.