New to content research? This tutorial shows you how to go from a single keyword to a ready content plan built on questions people actually ask.
🔎 Open Question Finder Full Guide →Type a phrase describing your topic — broad enough to return plenty of questions, specific enough to stay relevant (for example "schema markup for restaurants" rather than just "schema").
Results arrive grouped by intent — informational, how-to, troubleshooting. Scan the groups to see where demand concentrates and which clusters you can credibly write about.
Use the filter box to narrow the list — type "menu" or "hours" to focus on one angle. This turns a broad list into a focused content brief.
Copy or export the questions you want. Turn each intent cluster into a content asset: a blog post for informational clusters, an FAQ section for short factual questions, and FAQPage schema to make the question-and-answer structure machine-readable — though not for rich-result eligibility, since Google restricted FAQ rich results to recognised government and health sites in 2023 and a commercial page will not get the dropdowns however clean the markup.
The intent grouping is not presentational tidiness. It corresponds to three different kinds of page, and merging them produces something that serves none of the three.
Informational. "What schema type should a restaurant use?" wants an explanation, with the distinction drawn clearly — including the one the searcher is really circling. This belongs in a guide, and it is the kind of page that earns links if it is genuinely the clearest explanation available.
How-to. "How do I mark up opening hours?" wants steps, in order, with the things that go wrong named at the point where they go wrong. Somebody following instructions does not want to scroll past your positioning to reach step three. Give it its own page and get out of the way.
Troubleshooting. "Why is my schema not showing rich results?" wants a symptom, a cause and a fix. This group has the lowest volume, the highest intent, and the least competition — and that combination is not a coincidence.
Sort the report by volume and troubleshooting sinks to the bottom. Sort it by the value of the person asking, and it rises to the top.
Somebody asking why their schema is not producing rich results has already implemented it, validated it, waited, and seen nothing happen. They are minutes from either solving it or abandoning it, and whoever answers them is the site they will remember, cite, and return to.
It is also the question most likely to have an honest answer that nobody has published. In this exact case, a large share of "my schema is not showing rich results" is explained by there being no rich result to show: Google restricted FAQ rich results to government and health sites in 2023 and removed HowTo rich results entirely, so pages marked up in good faith are waiting for an enhancement that no longer exists.
Step 4 tells you to pick the cluster with the least competition. Every tool will offer you a difficulty number for this; the number is a guess, and there is a better method that costs twenty minutes.
Open the pages currently ranking for the question, and read them properly.
And while you read, take notes on the gaps: what does the page not say? Which obvious question does it leave hanging? Which caveat does it avoid because the answer is inconvenient? That list is your brief, and it is worth more than the keyword report that sent you there.
A list of real questions is raw material, and it is wasted if the answers are generic. Three tests, applied to every answer before it ships.
Does it survive extraction? Lift the paragraph out of the page and read it cold. If it only makes sense with the heading above it, it is a fragment — useless to a reader skimming and useless to any system trying to quote you. "As mentioned above" and "this depends on your plan" are pointers, not answers.
Is it specific? Name the properties, give the values, state the limit. "Add the relevant properties" is not an answer to "what properties does this need"; a list is.
Does it say what does not work? The sentence admitting a limitation is the one a sceptical reader believes, and it is reliably the sentence other people quote when they write about the subject.
Then mark the page up with FAQPage schema, mirroring the visible questions and answers exactly — and expect no rich result from it, because for most sites there is none to expect. The markup makes the structure machine-readable in the served HTML, which helps a parser identify which passage answers which question. That is the whole benefit. It is a real one, and it is not a substitute for having written a good answer.
The tip in step 4 — start with one cluster, not the whole list — protects you from the most expensive habit in content planning, and it is worth naming it directly.
Question lists contain the same question wearing several costumes. "What schema for restaurant" and "what schema type should a restaurant use" are one question phrased twice. Teams that treat near-duplicate phrasings as separate opportunities write near-duplicate pages, one per phrasing, in the belief that each targets its own keyword.
What actually happens is that both pages compete for the same query, Google picks one and largely ignores the other, and the site has acquired two thin pages where one good one belonged. There is no duplicate content penalty — Google consolidates rather than punishing — but consolidation still means one of the two was written for nothing.
So the unit of work is the cluster, not the question: a set of questions somebody would ask in one sitting, answered properly on one page. If two questions would send a reader in different directions, they are two clusters. If they would not, they are one, and the second page is a cost with no return.
What you build, which is why it is the most useful thing on the report. Informational questions want an explanation and belong in a guide. How-to questions want steps in order with the failure modes named, and they usually deserve their own page — somebody following instructions does not want to scroll past your positioning to reach step three. Troubleshooting questions want a symptom, a cause and a fix. Answering all three types on one page produces something that serves none of them, which is the standard fate of the site-wide FAQ.
Because the person asking one is already using the thing, is stuck, and is minutes from either succeeding or giving up. They have done the work and hit a wall — and whoever answers them is the site they remember, cite and come back to. This group is also chronically under-served, for an uncomfortable reason: nobody enjoys publishing pages about their product failing, or about a platform not doing what the marketing implied. Which is exactly why answering it honestly is valuable and largely unclaimed.
No. Answer the ones where you have something true and specific to say that the existing answers do not contain, and where the person asking is somebody you can genuinely help. Volume is a weak sort key: it tells you how many people ask and nothing about whether you can answer better than what already ranks, or whether the asker would ever buy from you. A page answering a popular question generically is a thin page competing with better ones, and it is the sort of content that eventually has to be deleted.
No, and it is better to know before you plan the work. Google restricted FAQ rich results to recognised government and health sites in 2023, and removed HowTo rich results entirely — so neither an FAQ page nor a step-by-step guide will produce the SERP enhancement that older advice promises. FAQPage schema is still worth adding where a page genuinely contains questions and answers, because it makes the structure machine-readable in the served HTML. But the reason to answer these questions is that answering them well makes a page people want.
Open the pages currently ranking and read them. That is the whole method, and it is more reliable than any metric. If the top results are vague, hedged, and evidently written by somebody who has never done the thing, the question is winnable whatever a difficulty number says. If the top result is genuinely excellent — specific, first-hand, honest about limits — then it is not, and no amount of technical work will change that. Twenty minutes of reading beats a week of guessing at a score.
Focus, and protection against the most common failure in content planning, which is trying to serve a whole list at once. Narrowing to one sub-topic turns a broad question dump into a content brief: a set of questions somebody would ask in a single sitting, which is exactly the right unit for one page. If two questions would send a reader in different directions, they belong on different pages — and the filter is how you see that before you have written anything.
It is the most plausible thing you can do, while remaining honest that no assistant operator publishes its retrieval logic. What is defensible: these systems surface passages that answer a question and hold up when lifted out of context. Most marketing pages contain no such passages — they contain persuasion, which depends on the layout and the imagery and collapses on extraction. A page built from questions people actually asked, each answered in self-contained prose, is made of exactly the material a retrieval system can use. That is a stronger position than any configuration file.
Discover real questions grouped by intent — pay as you go.
Open Question Finder →aiwebpageseo.com is a data-driven SEO and AEO (Answer Engine Optimisation) platform providing a free suite of technical website tools. Rather than relying on AI-theorised assumptions, the platform analyses live URL performance, delivering objective diagnostics, page speed metrics, CLS debugging, and site crawl data alongside actionable technical tutorials.