Question research often fails before content production starts: teams export hundreds of phrases, group them by vague themes, and still cannot tell which questions deserve a page, a section, or...
Question research often fails before content production starts: teams export hundreds of phrases, group them by vague themes, and still cannot tell which questions deserve a page, a section, or no coverage at all. If you are looking for AnswerThePublic alternatives, the useful answer is not another oversized keyword list; it is a repeatable way to mine questions from search behaviour and real customer language.
You can do that without paying for a question-research platform. The strongest free workflow combines autocomplete, Google’s People Also Ask results, forums and reviews, and filtered Search Console data. Each source reveals a different kind of demand, so the goal is to compare them rather than treat one source as definitive.
Start with 5 to 10 seed topics. Use the words customers use for the problem, product, category, and outcome. For a payroll software company, seeds might include payroll software, run payroll, payroll tax, payroll for small business, and payroll mistakes.
For each seed, collect questions in four passes:
Put every finding into a spreadsheet with these columns: question, source, topic, intent, funnel stage, current URL, impressions, clicks, average position, suggested format, and decision. The decision should be one of new page, add section, improve existing answer, or ignore.
Do not combine similar questions too early. Keep how much does payroll software cost separate from how much does payroll cost per employee until you have checked the search results. They may require different answers, even if both belong to the same broad topic.
| Method | Cost | Data quality | Effort | Best use |
|---|---|---|---|---|
| Autocomplete scraping and manual expansion | $0 | High for current phrasing; weak for demand validation | 30 to 60 minutes per seed set | Discovering how people complete a query |
| People Also Ask | $0 | High for related questions in a live SERP | 20 to 40 minutes per topic | Building sections and follow-up answers |
| Forums and review mining | $0 | High for pain points and objections; uneven for volume | 45 to 90 minutes per topic | Finding language and problems keyword tools miss |
| Search Console query filtering | $0 if the site has verified data | Highest for your own existing demand | 15 to 30 minutes per site section | Prioritising pages with real impressions |
| Manual SERP comparison | $0 | High for intent and content format | 5 to 10 minutes per query | Deciding whether questions share one page |
The table also shows why no single free method replaces the others. Autocomplete is fast but does not tell you whether a query is commercially valuable. Forums reveal frustration but can overrepresent edge cases. Search Console is precise for your site but cannot show demand for topics you have not targeted.
Autocomplete is useful because it captures query formulations people commonly begin typing. It is not a direct volume report, and a suggestion is not proof that a query deserves a page. Treat it as a language and discovery source.
Use a clean browser session and search combinations such as:
how [seed]what [seed]why [seed]when [seed]can [seed]should [seed][seed] a through [seed] zbest [seed], [seed] cost, [seed] pricing, and [seed] vsFor example, query how payroll, then repeat with how payroll a, how payroll b, and so on. Record suggestions that express a complete problem, not every fragment. Run the same process for singular and plural forms, regional spelling, and product category terms.
Use Google’s search operators to uncover autocomplete-like language in indexed pages:
site:reddit.com "how do I" "payroll"site:reddit.com/r/smallbusiness "payroll"site:quora.com "what is" "payroll"inurl:forum "payroll" "can I"intitle:"how to" "payroll""has anyone" "payroll software"Do not run automated scraping against Google at high volume. A practical manual process is to collect 20 to 40 suggestions per seed, deduplicate them, and then inspect the top 10 to 15 candidates in the live results. If automation is necessary, check the relevant terms of service and use an authorised data source rather than trying to evade access controls.
People Also Ask, or PAA, is most useful for identifying the questions Google considers adjacent to a topic. Open a result, record the visible questions, and open each relevant question to trigger more results. Repeat this for two or three expansion rounds, but stop when the questions become repetitive or drift into a different intent.
Capture four details for every useful PAA question:
Use PAA to build an answer sequence. A page about accounting software might need to explain what the software does, whether it works for a particular business type, how much it costs, how implementation works, and what integrations are required. Those questions are related, but they are not necessarily five separate articles.
A useful rule is to cluster questions by the result set, not by wording alone. Search what is payroll software, how does payroll software work, and what does payroll software do. If the same pages rank and the intent is educational, one strong page may cover all three. If payroll software pricing produces pricing pages and calculators, keep it separate.
Do not copy PAA answers into your content. PAA can contain incomplete, outdated, or overgeneralised explanations. Use it to identify the question and then verify the answer against your product documentation, current regulations, or a qualified subject-matter expert.
Forums and reviews expose the words people use after a product fails, disappoints them, or creates work they did not expect. This is often more valuable than a polished keyword list because it reveals objections, constraints, and desired outcomes.
Search with combinations of a category, a problem phrase, and a source:
site:reddit.com/r/smallbusiness "payroll" "problem"site:reddit.com "I can't" "payroll"site:reddit.com "is it worth" "payroll software"site:trustpilot.com "payroll software" "support"site:g2.com "payroll" "pros and cons"site:amazon.com "payroll" "review""wish I had known" "payroll"Read at least 30 relevant discussion threads or reviews before drawing a conclusion. Tag each passage with a problem type such as setup, price, integration, reliability, compliance, support, reporting, or usability. Then rewrite recurring complaints as neutral questions.
For example, a review saying, “It looked cheap until we paid for every extra employee,” can generate what is included in payroll software pricing and what extra payroll software fees should I expect. A forum post saying, “We use contractors in three countries,” can generate can payroll software pay international contractors.
Do not treat the loudest complaint as the most important customer need. Count recurrence across sources and look for corroboration in Search Console, sales-call notes, support tickets, or product data. One dramatic post is a hypothesis; five independent posts with the same constraint are a stronger editorial signal.
Search Console is the most defensible free source when a site has enough impressions. Open the Performance report, choose the relevant date range, select the Queries tab, and use the query filter set to Custom (regex).
For question-led queries, use this regular expression:
(?i)^(how|what|why|when|where|who|which|can|could|should|is|are|do|does|did|will|would|may|best|versus|vs)\b
Search Console uses RE2-style regular expressions, so avoid lookahead and lookbehind patterns. If the filter returns too many irrelevant results, add a second filter using Queries and Containing, such as payroll, accounting, or your product category.
Use these filters and thresholds as a practical triage system:
Use a 3-month period for a current editorial sprint and compare it with the previous 3 months to detect changes. Use 16 months when seasonality matters. Apply the same country, device, and search-type settings when comparing periods; otherwise, the apparent change may come from a different dataset.
Search Console may hide some low-volume queries, and it cannot show demand where the site has no impressions. That is why it should be combined with autocomplete and customer-language research rather than used as the only source.
Score each question on four dimensions from 0 to 3: business value, evidence of demand, fit with existing expertise, and ease of producing a genuinely useful answer. A question scoring 9 or more out of 12 is usually worth a first-pass brief. A low score is not automatically useless; it may belong as a short section in a higher-priority page.
Choose the content action based on intent:
The popular advice to “only create content for questions with measurable search volume” is wrong. New, specific, and conversational questions may show no visible volume in a free tool while still representing valuable sales or support demand. The better test is triangulation: does the question appear in customer language, fit a real intent, and connect to a business outcome? Use volume and impressions to prioritise, not to decide whether a question exists.
A reliable free process takes roughly 2 to 4 hours for one topic cluster: 30 to 60 minutes on autocomplete, 20 to 40 minutes on PAA, 45 to 90 minutes on forums and reviews, and 15 to 30 minutes in Search Console. The output should be a short, deduplicated brief with evidence beside every priority question, not a 500-row export that nobody can act on.
Want the measurement, not the pitch?
Send us your domain. We run the baseline on your category prompts and send back the raw answers alongside the score — you can check our working.
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