Question
What should I include in a customer case study to help my business appear in AI recommendations?
Short Answer
Include the customer's problem, the service you provided, where the work took place and the result you can support with evidence. These details can give AI tools a specific example of your experience to draw on when answering a relevant question. Recommendations are not guaranteed.
Explanations
A useful case study shows when your service is a good fit. Describe the customer's situation in everyday language, explain what you did and state what changed. Include the type of customer and location when relevant. Give dates or timescales so readers can judge how recent the work is.
Support the result with details you can verify: a measurement, before-and-after photos or a customer comment. Explain how figures were measured. If the result was not measured, describe the observed improvement without inventing numbers. Get permission before sharing customer names, quotes or identifying details.
An AI assistant using web search may find the page and connect the problem and service with a similar customer request. It may consider your business relevant to that request. Publish the details as readable text and link the case study from the relevant service page. This supports discovery, but does not secure a recommendation.
Example
Imagine a Bristol bookkeeper writing about work for a local café. The café struggled to keep its accounts up to date. The case study explains how the bookkeeper organised receipts, reconciled bank transactions and trained the owner to use accounting software. With permission, it includes the owner's comment that monthly accounts are now ready on time. This gives an AI assistant a specific example to consider when someone asks for a bookkeeper who helps cafés organise their accounts. It shows relevant experience without claiming every café will get the same result.
Takeaway
Choose a real customer job that shows the kind of work you want to be found for. Explain the problem, your work and the supported result. Publish clear details that customers and AI tools can use to judge whether your business fits a similar need.
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