Buying situations
Separate understanding a problem, comparing options and choosing a supplier. Connect each question to an audience and offer.
Prompt research
We turn customer needs and buying situations into a justified sample of AI questions. The result gives your content and monitoring a relevant starting point.

Random prompts can produce plenty of answers without explaining your market. Questions need to reflect the customer, the problem and where your offer is relevant.
Customer interviews, search data and existing content inform the sample. It is a defined view of your market, not access to every conversation or a measure of total prompt volume.
Your deliverables
Separate understanding a problem, comparing options and choosing a supplier. Connect each question to an audience and offer.
Receive topics, variations and reasons to monitor them. Brand questions and open recommendation questions remain separate.
Identify relevant pages, missing answers and the questions to include in an initial visibility analysis.
Agree on audience, offers and buying situations.
Research and prioritise questions with a documented rationale.
Approve the sample and use it for content and repeated measurement.
We assess coverage of customer needs and whether the sample supports useful decisions. Comparisons use the agreed sample and consistent scope.
FAQ
The two complement each other. Prompt research also considers context, follow-up questions and how customers describe a situation in conversation.
No. We build a justified sample from available insight and tests. It is not complete user data from AI platforms.
No. This can be a standalone assignment. Monitoring and optimisation are agreed separately.
Prompt research
Tell us what you sell, who you want to reach and which choices customers face. We agree on scope before research starts.
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