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Does original research help AI recommend you?

Publishing original research — a survey, a dataset, a benchmark, a statistic nobody else has — is one of the strongest AI-visibility moves available, because it turns you from a source that repeats what others say into a primary source other sources cite. Assistants reach for concrete, attributable facts and figures when they answer, and when the authoritative number on a topic is yours, your name travels with it every time another site, article or roundup repeats it. That compounds: each citation of your stat is a fresh third-party mention tied to your entity, and over time you become the recognized reference for that question. The move that works is researching something genuinely useful and specific to your field, publishing it in clean readable text with a clear methodology and quotable headline findings, making it easy to cite and link, and keeping your attribution consistent so the credit attaches to your business. It takes more effort than a typical blog post, but a single well-cited original study can out-earn months of ordinary content in durable citations and authority — exactly the currency AI visibility runs on.

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FAQ

Why is original research so valuable for AI visibility?Because it makes you a primary source rather than an echo — assistants cite concrete, attributable facts, and when the authoritative figure is yours, your name travels with it every time another site repeats it, compounding into durable citations and topical authority.
How should I publish research for AI to use it?In clean, readable text with a clear methodology and quotable headline findings, easy to cite and link, with consistent attribution so the credit attaches to your business. Specific, genuinely useful data in your field beats a broad, shallow survey.
How do I check whether AI can find and read my data?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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