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My Questions Demo: A Saved Report With Answers

Here's an example report for the seeds "schema markup seo" and "answer engine optimization" — real questions with starting answers from authoritative sources, the way they appear in a saved run.

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Example report

Report from 2026-05-30 · seeds: schema markup seo, answer engine optimization · 8 questions found
What is answer engine optimization?
Answer engine optimisation (AEO) is structuring content so that AI answer engines — like ChatGPT, Perplexity and Google's AI overviews — can extract and cite it directly, rather than only ranking it as a blue link.
source: authoritative web result
Does schema markup help AEO?
Yes — structured data helps machines understand what a page is about and which parts answer which questions, making content easier for answer engines to parse and cite.
source: authoritative web result
Which schema type is best for an FAQ?
FAQPage is the schema type designed for question-and-answer content, marking up each question with its answer. Note that it no longer earns a rich result for most sites: Google restricted FAQ rich results to recognised government and health sites in 2023. The reason to use it now is that it makes your question-and-answer structure machine-readable in the served HTML, which helps any parser identify which passage answers which question.
source: authoritative web result
Note: the answers are starting points to show what a complete answer covers — write your own version for your site rather than publishing these verbatim. Every report is saved with its date and seeds, and can be exported to CSV.

What you do next

Open any saved report, pick a cluster, and turn it into an FAQ page, post or content-calendar entry. The turn-reports-into-content guide covers each route, including building an editorial calendar from your saved runs.

🔎 Run it on your niche

Enter up to five seed keywords and get a saved report with answers. Pay as you go.

Open My Questions →

Why a real question beats a brainstormed one

The questions in this report were typed by people. That sounds like a small distinction and it is the whole point of the tool.

A brainstormed FAQ is a record of what a marketing team believes its buyers wonder about, and it fails in a consistent direction: it answers the questions the business wishes people were asking. "How does our platform accelerate collaboration?" is not a question anybody has ever typed into anything. "Does it work offline?" is, and it is the one that decides a purchase.

Search-derived questions arrive without that flattery attached. They are frequently blunt, frequently about limitations, and frequently about the thing your positioning has been carefully steering around. That is what makes them worth answering: the reader wanted to know, somebody else answered it, and if you did not, they read the other page.

The answers in the report are scaffolding, not content

The note in the report is worth taking literally. The starting answers exist to show what a complete answer has to cover — its shape, the points it must address, the caveats it cannot skip. They are not there to be published.

If you publish them, you have produced a page that says roughly what every other page on this subject says. It contains no information that is not already available elsewhere, it gives nobody a reason to link to it, and it is exactly the class of derivative content that gets reassessed downwards when Google runs a core update. There is no penalty applied — there is no thin-content penalty in the technical sense — but the page is simply a worse answer than the ones it is competing with, and it ranks accordingly.

The questions are the asset. The answers are the work, and the work is worth doing because your version can contain something that nobody else's does: a number from your own data, a limitation you are willing to admit, a worked example from a real customer, the thing that only somebody who has actually done this knows.

The test every answer has to pass

Take the paragraph. Remove it from the page. Read it cold, as somebody who has never seen your site.

Does it answer the question completely, on its own, without leaning on the heading above it or the sentence before it? If it does not, it is a fragment. A fragment is useless to a reader skimming for the answer, and it is useless to any retrieval system trying to quote you, because there is nothing quotable there.

This one test does more for a page than any amount of technical optimisation, and it eliminates the most common failure in FAQ writing at a stroke: the answer that begins "As mentioned above…" or "This depends on your plan" and then stops. Both are pointers. Neither is an answer.

Three things make the difference between an answer that passes and one that merely exists. Specificity: name the tools, give the number, state the limit. Completeness: if the honest answer is "yes, but only on the paid tiers, and not for files over 50MB", say all of it. Honesty about limits: the sentence admitting what the product does not do is the one a sceptical reader believes, and having believed it they believe the rest of the page.

Marking it up, without expecting magic

Once the answers are written and visible, mirror them into FAQPage schema. Then be clear about what that does.

It does not earn a rich result. Google restricted FAQ rich results to recognised government and health sites in 2023, and removed HowTo rich results entirely, so a marketing page will not get FAQ dropdowns in the SERP however clean the markup is. Any advice still promising that enhancement is describing a world that ended three years ago.

What the markup does is make the structure explicit in the served HTML: this string is a question, that string is its answer. A parser that would otherwise have to infer the relationship from your heading levels no longer has to. That is a clarity benefit and a real one — and it is the entire benefit. There is no verified evidence that denser structured data wins citations, and adding schema for questions that are not on the page is a policy violation rather than an optimisation.

Two rules follow and neither is negotiable. Every question and answer in the schema must appear, in the same words, in the visible text. And you never invent a question to justify the markup — if nobody asked it, answering it publicly serves nobody.

Choosing which questions to answer first

Eight questions from two seeds is a manageable list. On a real report it will be forty, and the instinct is to sort by search volume and work down. That produces a predictable outcome: you write generic answers to popular questions, competing against pages that answer them better, and you accumulate a set of thin pages that will eventually have to be deleted.

Sort on two things the report cannot compute for you. Can you answer this better than what currently ranks? Open the pages that hold those positions and read them. If they are vague, hedged, or written by somebody who has never used the thing, the question is winnable no matter what its difficulty score says. If the top result is genuinely excellent, it is not, and no technical work will change that. Would the person asking this ever buy from you? A low-volume question you can answer definitively, asked by exactly the person you want, is worth more than a high-volume question asked by people who will never be customers.

And group them honestly. A cluster is a set of questions somebody would ask in one sitting; a page that answers those properly is far more useful than a page listing thirty questions from four unrelated clusters, each dispatched in two sentences. If two questions would send a reader in different directions, they belong on different pages.

Frequently asked questions

Where do these questions come from?
From what people actually type, gathered from search suggestion data and question-shaped queries around your seed terms — not from a model inventing questions it thinks somebody might ask. That distinction is the point of the tool. A brainstormed FAQ reflects what a marketing team assumes buyers wonder about, and it is reliably wrong in a specific way: it answers the questions the business wishes people asked. A question that somebody typed is evidence, and evidence is what you want to build a page on.
Should I publish the generated answers?
No, and the report says so itself. The answers in a saved report are there to show what a complete answer covers — the shape of it, the things it has to address — not to be pasted onto your site. Publishing them gives you a page that says roughly what every other page on the subject says, which is precisely the content that a core update reassesses downwards. The value of the report is the questions. The answers are your job, and they are worth doing because your version can contain something nobody else's does.
What makes an answer worth publishing?
That it stands on its own. Take the paragraph, remove it from the page, and read it cold: does it answer the question completely, without depending on the heading above it or the sentence before it? If it does not, it is a fragment, and it will be useless to a reader skimming and useless to any system trying to quote you. Beyond that: be specific where others are vague, include the numbers, and say what the thing does not do. The sentence admitting a limitation is the one a sceptical reader believes, and having believed it they believe the rest.
Do I need FAQPage schema on the page I build from this?
It is worth adding, but not for the reason most people add it. FAQ rich results were restricted by Google to recognised government and health sites in 2023, so a marketing site will not get FAQ dropdowns in the SERP no matter how correct the markup. What FAQPage schema still does is make the question-and-answer structure explicit in the served HTML, so a parser does not have to infer which sentence answers which question. Add it because you have genuine questions and answers on the page — never invent questions to justify the markup, and never put an answer in the schema that is not visible on the page.
Does answering these questions help with AI citation?
It is the thing most likely to, though nobody can promise it, because no assistant operator publishes its retrieval logic. What is defensible: retrieval systems surface passages that answer a question and survive being lifted out of context, and most marketing pages contain no such passages at all — they contain persuasion, which collapses the moment it is separated from the layout and the imagery. A page built from real questions, each answered in self-contained prose, is a page made of exactly the material a system can use. That is a much stronger position than any amount of schema, llms.txt or crawler configuration.
How many questions should one page cover?
As many as genuinely belong together, which is usually fewer than you expect. A cluster is a set of questions somebody would ask in one sitting, and a page that answers those properly is far more useful than a page that answers thirty questions from four unrelated clusters. The failure mode is the mega-FAQ: a page listing every question anybody ever asked, each answered in two sentences, useful to nobody. If two questions would send a reader in different directions, they belong on different pages.
Is keyword volume the right way to prioritise which questions to answer?
It is one input and a poor sole criterion. Volume tells you how many people ask; it says nothing about whether they would ever buy from you, or whether you can answer better than what already ranks. Sort instead by whether you have something true and specific to say that the existing answers do not contain, and by whether the person asking is someone you can help. A low-volume question you can answer definitively is worth more than a high-volume question you can only answer generically — and answering the second one generically is how sites accumulate the thin content that later has to be deleted.

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