Find What People Are Actually Asking
AI-powered question discovery for SEO, content strategy, and GEO. Four sources running in parallel: Google Autocomplete, Claude, Perplexity, and SEO keyword data. Not a scraper. A research engine.
- Scanning Google Autocomplete
- Generating AI question variants
- Searching Reddit, Quora and forums
- Fetching search volume + KD
Unlock the full report
Three free queries used. Enter your email for the rest of today's queries plus content briefs, schema recommendations, and the full ranked list of every question we found.
No spam. We send your full report once and a 4-email follow-up over 14 days. Unsubscribe any time.
How the Question Finder Works
Most question research tools scrape Google Autocomplete and stop there. The Question Finder runs four parallel research engines and merges them into a single ranked list. You see questions you would not see anywhere else.
Google Autocomplete
We hit Google's public suggestion endpoint with your topic plus 9 prefixes ('how to', 'what is', 'why', 'best', 'cost of', 'how much', 'can I', 'should I', 'vs') and 5 suffixes. That gives 45 base queries per topic, returning 20-30 unique question completions that real searchers are typing.
Claude (AI generation)
Claude generates 15 long-tail question variants you would never see in Google Autocomplete. Three in each of beginner, how-to, comparison, cost, and troubleshooting categories. Each comes with a 3-sentence content brief and a recommended schema type (FAQPage, HowTo, Article, BlogPosting).
Perplexity (real-world mining)
Perplexity searches Reddit, Quora, niche forums, and Google's People Also Ask box for actual questions people have asked in the last 12 months. These are unfiltered, phrased the way real users phrase them, not how SEO tools rephrase them.
Search volume & difficulty
Every question gets enriched with search volume, keyword difficulty, and average CPC where data is available. Questions are then ranked by commercial value. Transactional and commercial-intent questions float to the top, informational below.
Why Questions Matter for SEO in 2026
Google's People Also Ask boxes appear in 65% of search results. ChatGPT, Perplexity and Bing Copilot answer questions directly in their UIs and cite the pages that answered first and clearest. This is GEO, or Generative Engine Optimisation, and it is reshaping how content earns clicks.
- FAQ sections with FAQPage schema are the single most LLM-extractable format. 44.2% of LLM citations come from the first 30% of a page, and a question-first paragraph is what gets cited.
- Comparison and cost questions have the highest commercial intent. A page that ranks for "how much does it cost to hire an X" earns leads, not just traffic.
- Long-tail question clusters rank faster and more reliably than head terms. A topic with 40 long-tail questions, answered well across 3-4 pillar pages, will outperform a single page targeting one fat keyword.
- Question intent maps to content type: beginner questions become educational articles, how-to questions become structured guides with HowTo schema, comparison questions become VS pages, cost questions become buying guides, troubleshooting questions become FAQ entries.
How to Use Question Research for Content Strategy
- Run a topic. Start broad ("technical SEO", "headless CMS"). Don't go too narrow on the first run. Broad topics surface clusters you can then explore.
- Identify clusters. Group questions by category. Beginner + how-to questions usually map to a single pillar article. Cost + comparison questions map to dedicated landing pages. Troubleshooting questions become FAQ entries on the relevant pillar.
- Build pillar content first. One 2,000-word pillar page that answers the top 5 questions in a cluster. Use the question text as H2 headings, answer in the first paragraph below each.
- Layer FAQ sections. Add an FAQ section with FAQPage schema covering the long-tail variants. Keep answers 40-60 words. That is the LLM-citation sweet spot.
- Implement schema markup. FAQPage for FAQ sections, HowTo for step-by-step content, Article for editorial. Use the schema type the Question Finder recommends per question.
- Monitor and iterate. Track which questions drove impressions in Google Search Console after 4-8 weeks. Re-run the Question Finder quarterly to catch new questions.
Question Finder vs Other Tools
| Feature | Question Finder | AnswerThePublic | AlsoAsked | Ahrefs Questions |
|---|---|---|---|---|
| Google Autocomplete | Yes | Yes | Partial | Yes |
| AI-generated long-tail | Yes (Claude) | No | No | No |
| Reddit / Quora / forum mining | Yes (Perplexity) | No | No | No |
| People Also Ask scrape | Yes | No | Yes | Partial |
| Search volume + KD | Yes | Pro only | No | Yes |
| Content briefs | Yes | No | No | No |
| Schema recommendations | Yes | No | No | No |
| Free tier | 3/day, no signup | 2/day | 3/day, signup | None |
FAQ
What is a question research tool?
A question research tool surfaces the real questions people are searching for about a given topic. The Question Finder pulls from four sources: Google Autocomplete, Claude AI, Perplexity, and live SEO keyword data. It merges them into a single ranked, categorised list with content briefs and schema recommendations.
How is the Question Finder different from AnswerThePublic?
AnswerThePublic scrapes Google Autocomplete only. The Question Finder also runs Claude (for AI-generated long-tail variations), Perplexity (for real Reddit / Quora / forum questions), and SEO keyword data (for search volume and keyword difficulty), then merges + dedupes them. Each question comes with a content brief and schema recommendation.
Is the Question Finder free?
Yes. Three queries per day are free with no signup. After three queries, enter your email to unlock seven more queries per day plus content briefs, schema recommendations, and the full report delivered to your inbox.
How do I use these questions for SEO?
Cluster the questions by intent. Build pillar content around the highest-volume informational questions. Add an FAQ section with FAQPage schema covering the long-tail variants. For comparison and cost questions, build dedicated landing pages with explicit answers in the first paragraph.
What is GEO and why does it matter?
GEO, or Generative Engine Optimisation, is content optimisation for AI-powered search experiences. LLMs cite passages that directly answer questions in the first 30% of a page. The Question Finder is built on the same questions LLMs are answering today, so the content you create from it is citation-ready out of the box.
Does the Question Finder show search volume?
Yes. When live SEO data is available we attach monthly search volume, keyword difficulty, and average CPC. For long-tail questions without explicit volume data we display a relative volume indicator inferred from related keyword clusters.
How many questions can I find per day?
Three free queries per day with no email. Up to ten queries per day after entering your email. That is roughly 400 unique questions per day. Topics queried within the previous 24 hours return cached results without using a query slot.
What sources does the Question Finder use?
Four parallel sources: Google Autocomplete, Claude (AI-generated variations), Perplexity (real Reddit/Quora/forum/PAA questions), and live SEO keyword data (volume and difficulty enrichment). Results are deduplicated, categorised, and ranked by estimated commercial value.
Need help turning these questions into traffic?
We build SEO and GEO-optimised websites that capture the searches your customers are making. 91,000 pages built. 4 page-1 rankings in 6 weeks. Lighthouse 94.
Let's build
something together.
Whether it's a migration, a new build, or an SEO challenge — the Social Animal team would love to hear from you.