A case study built for AI extraction states the outcome in its first sentence, puts client, industry, problem, solution and measurable result in a scannable facts box, and keeps every key claim in a self-contained sentence an engine can quote without surrounding context. The classic narrative arc, challenge, journey, triumph, buries exactly the facts engines need.
The extraction-friendly template
- 1First sentence: '[Client type] achieved [metric change] in [timeframe] using [your service/product].'
- 2Facts box: industry, company size, problem, solution, headline metrics.
- 3Context paragraph: what was broken, in concrete terms.
- 4What was done: specific steps, not 'a tailored solution'.
- 5Results: two or three measured outcomes, each in its own sentence.
- 6A quote from the client that contains a fact, not just enthusiasm.
What keeps case studies uncited
- Outcome hidden in paragraph nine after the hero's journey.
- Unnamed everything: 'a leading company' with 'significant results'.
- PDF-only case studies engines can't reliably parse or attribute.
- Claims that depend on the paragraph before them to make sense.
- No hub page, so each study is an orphan with no topical context.
