Do case studies help AI recommend your business?

Case studies give AI something most marketing pages don't: specific, verifiable evidence of who you helped, how, and what happened. Models favor concrete, substantive content they can quote to justify a recommendation, and a real case study — named client or clear scenario, the problem, your approach, measurable results — reads as exactly that. Published as an indexable web page (not a gated PDF), each case study reinforces your expertise in a specific use case and gives AI the language it uses to describe why you're a credible pick. For B2B especially, a library of concrete case studies is a durable AI-visibility asset.

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FAQ

Why would a case study affect AI answers?Because AI rewards concrete, quotable proof over vague claims. A case study documents a real problem, your solution and measurable results — the kind of substance models lean on to explain why they'd recommend you for a specific need.

What makes a case study count for AI?Specifics: the client or scenario, the exact problem, what you did, and real, measurable outcomes — published on an indexable page so crawlers can read it. Depth and verifiability matter more than polish; a gated PDF can't be cited.

How do I see if AI treats me as credible?Run a free Cited scan — it checks the AI-search readiness signals on your website (crawler access, llms.txt, structured data and answer-ready content) and lists the fixes to make first.

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