Do case studies help AI recommend you?

Case studies are one of the more underrated AI-visibility assets because they hand a model exactly what it looks for when deciding whether to name you: concrete, specific, verifiable evidence of what you do, for whom, and with what result. A page that says we helped a mid-size HVAC company in Phoenix cut no-show appointments by a third gives an assistant a quotable fact tied to a real industry, location and outcome — far more matchable to a buyer's question than a generic we deliver results claim. Well-structured case studies also deepen your topical authority: they prove you work in a niche, name the problems you solve in plain language, and often earn links and mentions when the featured client shares them. The move that works is writing each case study in readable text (not locked in a PDF or image), naming the specifics — industry, situation, approach, measurable outcome — and keeping the claims honest and checkable, because models increasingly weight verifiable specifics over marketing adjectives. Done well, a library of case studies makes you the obvious, evidence-backed answer to a whole class of narrow questions.

FAQ