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How can you find popular questions in a specific field?

To find popular questions in a specific field, start by defining your topic and readers’ needs. Then collect real questions from forums and communities and use keyword tools to assess search demand. The key is to separate “finding questions” from “determining popularity”: community posts provide context, while search volume helps you compare how often people search for different queries. AI-generated questions should initially be treated only as inspiration, not as evidence of popularity.

Narrow the field to find popular questions relevant to your readers

When looking for topics, do not settle for a broad category. First, clarify who your website serves, what it covers, and what decisions readers are making. Then choose relevant keywords. This is a way to define your research scope, not a platform rule.

An Ahrefs article offers a concrete example: if you run a movie review website, you can search for Netflix and then filter for queries containing review. This helps you identify the shows people want to read reviews of, rather than treating every Netflix-related search as a potential topic. Even within the same field, readers’ needs can differ, so your filters should match your content’s purpose.

Learn from real discussions, not just sentences phrased as questions

A 2026 article by awoo recommends exploring users’ questions on Reddit, Quora, Dcard, PTT, and Facebook groups, among other places. When organizing questions, keep their original context and group them by shared themes and search intent. There is no need to turn every question into a separate article.

  • Identify the underlying need: Is the reader trying to understand a concept, compare options, or find recommendations?
  • Preserve different ways of expressing a need: “Recommend SEO tools suitable for beginners” is not phrased as a question, but it still expresses a clear need.
  • Distinguish real questions from AI simulations: Keep questions generated through AI role-playing in a separate list of ideas to validate, rather than mixing them with original community posts.

At Procrustes, our content service turns questions that customers genuinely care about into articles, with ongoing planning, writing, and updates.

Use keyword reports to compare search demand

A 2026 Ahrefs article describes how to find question-based queries: enter relevant keywords in Keywords Explorer, open the Matching terms report, and switch to Questions. To look beyond queries phrased as questions, you can also apply word filters in the keyword ideas reports.

To assess popularity, you can use the report’s results ranked by monthly search volume. Start by comparing queries that match your field and search intent. The article uses coffee to demonstrate how to find many questions, but finding many questions does not mean that each one has a high search volume.

Label popular searches and community questions separately

When organizing your list, use separate labels for “actual forum questions,” “results ranked by search volume,” and “AI-simulated questions” so you do not treat them as the same measure of popularity. Search reports help you compare search demand, while community posts help you understand how readers describe their difficulties. The sources cited in this article do not provide a universal threshold for popularity across platforms, so they alone should not be used to claim that a particular question attracts the most attention in the entire field.

Finding popular questions: perspectives from across the web

How can you use Reddit to find popular questions in a specific field?

You can search the AskReddit subreddit for keywords related to your field and look for questions that perform particularly well. A content consultant shared this topic-finding method in an interview. It can help you discover angles for community discussion. However, the results reflect questions within that community and should not be taken as direct evidence of what matters most across the entire field or to all readers.

When using a crawler to collect popular questions, should you collect only posts that already have answers?

Not necessarily—it depends on your research goal. If you want inspiration for articles, Neil Patel’s article recommends configuring your crawler to collect posts that already have answers to save time when writing. This recommendation is about producing content more efficiently. It does not mean that answered questions are necessarily more popular, or that unanswered questions should be excluded from every kind of research.

Can you track popular questions in AI search?

You can consider tools that offer relevant tracking features. A 2026 article by Welly’s marketing department states that Profound’s Prompt Volumes can track currently popular questions, as well as AI visibility, citations, and visitors referred by AI. This is useful for brands interested in AI search demand, but the tool’s results do not represent overall popularity across all search and social platforms.

References

  1. 66 Sources of Content Inspiration, Straight from the Expertswww.screamingfrog.co.uk · 2018-07-24T08:08:51+00:00 — Discusses: How can you use Reddit to find popular questions in a specific field?
  2. GEO工具總整理:選擇方式、18種工具介紹與疑難雜症一篇就懂welly.tw · 2026-03-04T03:16:02.899Z — Discusses: Can you track popular questions in AI search?
  3. How to Use Content Scrapers to Automate these 7 SEO Hacksneilpatel.com · 2018-02-16T15:00:03+00:00 — Discusses: When using a crawler to collect popular questions, should you collect only posts that already have answers?
  4. Top Google Searches (November 2026)ahrefs.com · 2026-07-03T08:48:56+00:00 — Source used in the article above.
  5. GEO Prompt 研究:解析 AI 搜尋時代的Content優化策略www.awoo.ai · 2026-07-01T02:50:46+00:00 — Source used in the article above.
  6. 100 Most Asked Questions on Google (November 2026)ahrefs.com · 2026-07-03T09:30:43+00:00 — Source used in the article above.
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