Key takeaways
- Prompt Demand collects the questions people ask AI about your category from observed AI answers, public sources and data you connect, and groups them by topic and buying stage.
- Each question gets an opportunity score from 0 to 100 built from six signals, from AI search demand to business relevance. The score guides priorities; it does not predict traffic or revenue.
- Demand is an estimate and is labelled as one. The exact number of times a question is asked in AI search cannot be verified.
- The output is a ranked opportunity report you can send straight to Content Agent, with the question, the competitors AI names and the content format it needs.
Why question lists drift from what buyers ask
Keyword thinking is the usual starting point: take the search terms you already target and turn them into questions. But people talk to AI in full sentences with their situation attached. A keyword list says cordless vacuum. A buyer asks which cordless vacuum is best for a small apartment with a dog.
The opposite mistake is tracking everything. A long list makes the visibility score look stable, but it buries the few questions that actually decide a purchase under hundreds that do not.
Where the questions come from
Prompt Demand builds the list from evidence rather than brainstorming. It shows the wording customers actually use, not a keyword.
- Observable AI responses. What AI search experiences actually answer for the questions in your category.
- Public sources. Openly available material about how people ask about the category.
- Your connected data. Search queries, site search and customer questions you choose to connect add what your own buyers ask.
Related questions are grouped into clusters by topic and intent, so content can be planned cluster by cluster. Reports are aggregated by topic and question and do not identify individual people.
Six signals behind every score
| Signal | What it looks at |
|---|---|
| AI search demand | How often the question and similar questions come up in AI search, as a relative index rather than a prompt count |
| Purchase intent | How close the question is to a decision: researching, comparing or ready to buy |
| Competitor exposure | Which competitors AI names in the answer, and how consistently |
| Brand visibility | Whether AI names you, cites you, or leaves you out |
| Content fit | Whether a page on your site answers the question well enough for AI to use it |
| Business relevance | How closely the question matches the products and markets you want to grow |
The six signals combine into an opportunity score from 0 to 100. A high score means high demand and intent, competitors present, you absent and little content to answer with. It is a guide for marketing priorities, not a forecast of traffic or revenue.
What a report looks like
An opportunity report starts from a ranked list instead of a blank page. For example, the sample report for LumiHome, the fictional brand used on the flowgen site, covers cordless vacuums. The questions and scores below are sample data.
| Question (sample) | Buying stage signal | LumiHome named? | Score |
|---|---|---|---|
| What is the best cordless vacuum for pet hair? | Recommendation, very high intent | Not named | 92 |
| What vacuum is best for people with allergies? | Use case, high intent | Not named | 81 |
| Which vacuum cleaner is best for apartments? | Comparison, high intent | Named | 74 |
| Cordless vacuum or robot vacuum: which is better? | Comparison, medium intent | Not named | 66 |
The top question is not the one with the most demand alone. It wins because buyers asking it are close to choosing, competitors are already named and LumiHome has no page that answers it.
Prioritize by buying stage
A question asked just before a purchase is worth more than general research. Prompt Demand tags each question as researching, comparing or ready to buy, based on how it is phrased and what AI answers, and that tag shapes the work.
- Match the format to the stage. A comparison question needs a comparison page, not a product page. Prompt Demand suggests the format and Content Agent drafts it.
- Use the situations buyers mention. Pets at home, a small apartment, allergies, carpets: these become the angles your content should cover.
- Defend what you already win. Questions where you are named are watched for the moment a competitor starts to appear beside you.
From report to published answer
- Choose a topic. Pick the category or product line you want to grow, and check its topic map for the sub-topics with the highest scores.
- Review the competitor-only questions. For each, see which brands AI names and which page types it relies on: product pages, guides, review sites or community threads.
- Send the top questions to Content Agent. One click turns a question into a brief, and Content Agent drafts the content from verified brand facts.
- Distribute and measure. After approval, Channel Agent distributes it, and Analytics tracks whether the answers changed.
Honest about the numbers
Nobody outside the AI companies can see how many times a question was typed into ChatGPT or Gemini. Prompt Demand therefore presents AI search demand as a relative index and keeps estimated metrics clearly separated from observed data, such as which brands an answer actually named.
That distinction is the point. A priority list is useful when you know which parts are measured and which parts are judgement, so you can argue with the judgement. To see how your brand performs on the questions you choose, start with GEO Insight.