This walkthrough shows what Question Finder returns for a single keyword — real questions pulled from four sources, deduped, and grouped by intent so you can see the shape of demand at a glance.
🔎 Open Question Finder Read the Guide →Enter a seed keyword and Question Finder queries Stack Exchange, Google Autocomplete, People Also Ask and DataForSEO, then merges and groups the results. A typical return looks like this:
Use the filter box to narrow to a sub-topic (for example "menu"), then copy or export the questions you want. Each export keeps the intent grouping so it drops straight into a content plan or FAQ build.
Enter your own keyword and see the real questions in seconds. Pay as you go.
Open Question Finder →Merging the sources is convenient. Reading them separately is informative, because a question means something different depending on where it came from.
Autocomplete and People Also Ask are derived from real search behaviour. A question that appears there is a question people type, which is the strongest evidence in the set — and it is evidence about the general public, phrased the way the general public phrases things, which is rarely the way your product marketing phrases them.
Stack Exchange is different in kind. Somebody sat down, hit a wall, and cared enough to write it up for strangers. Those questions are narrower, more technical and frequently more valuable, because they describe a real failure rather than a general curiosity. They also come with the answers the community gave, which tells you what the current best available answer is — and therefore what you would have to beat.
DataForSEO supplies the volume, which is the number everybody sorts on and the one that deserves the least weight. It tells you how many people ask. It says nothing about whether you can answer better than what already ranks, or whether the asker would ever buy anything from you.
The three groups are not a presentational nicety. They correspond to three different pages, and merging them produces something that serves none of the three.
Informational. "What schema type should a restaurant use?" wants an explanation, with the distinctions drawn clearly — including the one the searcher is really circling, which is how Restaurant relates to LocalBusiness. 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 to 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 restaurant schema not showing rich results?" wants a symptom, a cause and a fix. This group is chronically under-served, for an uncomfortable reason: nobody enjoys publishing pages about their product failing, or about the platform not doing what the marketing implied. Which is precisely why answering it well is valuable.
Sort this report by volume and the troubleshooting group 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 done the work. They implemented it, they validated it, they waited, and nothing happened. They are minutes away from either solving it or giving up, and whoever answers them is the site they will remember, cite, and come back to.
It is also the question most likely to have an honest answer that nobody has published. In this specific case, a substantial 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. That answer is useful, verifiable, and almost absent from the web, because it makes structured data sound less magical than the industry prefers.
Publishing the unflattering true answer is the single most reliable way to become the page people cite.
"What schema for restaurant" and "what schema type should a restaurant use" are one question in two costumes. The tool merges them, and it is worth understanding what that saves you from.
Teams that treat near-duplicate phrasings as distinct 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 means one of the two was written for nothing.
One question, one page, answered properly. If two questions would genuinely send a reader in different directions, they are two questions. If they would not, they are one, and the extra page is a cost with no benefit.
A list of real questions is raw material, and the material 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.
Is it specific? Name the properties, give the values, state the limit. "Add the relevant properties" is not an answer to "what properties does Restaurant schema 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.
They are not, and knowing the difference changes what you do with each question. Google Autocomplete and People Also Ask are derived from real search behaviour, so a question appearing there is a question people type — that is the strongest evidence in the set. Stack Exchange questions were typed by a practitioner who was stuck, which makes them narrower, more technical and often more valuable, because somebody hit a genuine wall. DataForSEO supplies keyword data with volume attached. Merged, they give you breadth and depth; read separately, they tell you who is asking.
It decides what you build. 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, because somebody following instructions does not want to scroll past your positioning. Troubleshooting questions want a symptom, a cause and a fix, and they are the most under-served category on almost every site: nobody writes about their product failing. 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 it is already using the thing, is stuck, and is minutes from either succeeding or abandoning. "Why is my restaurant schema not showing rich results?" is asked by somebody who has done the work and hit a wall — and the honest answer, in that specific case, is often that no rich result exists for what they marked up, which is exactly the kind of thing nobody publishes because it is not flattering. High-volume informational questions attract traffic. Troubleshooting questions attract the person who will remember who helped them.
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 be a customer. A page that answers 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 that 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, not that a dropdown will appear beside it.
It is the most plausible thing you can do, while remaining honest that no operator publishes its retrieval logic. What is defensible: assistants surface passages that answer a question and hold up when lifted out of context. Marketing pages generally contain no such passages — they contain persuasion, which depends on the layout and the imagery and collapses when extracted. A page built from questions people actually asked, each answered in self-contained prose, is made of precisely the material a retrieval system can use. That is a stronger position than any configuration file.
Time, and a specific mistake. The same question arrives in several phrasings — "what schema for restaurant" from Autocomplete and "what schema type should a restaurant use" from People Also Ask are one question wearing two hats. Without deduping, teams treat them as two and write two near-identical pages, which then compete with each other for the same query and give Google a reason to pick one and ignore the other. One question, one page, answered properly, is always the right shape.
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