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Does publishing a data study or original research help AI recommend you?

Original data is citation bait in the best sense. When you publish a genuine study — a survey, a benchmark, an analysis of your own aggregated data — you create a fact that doesn't exist anywhere else, so anyone writing about your topic (and any model answering about it) has to point back to you as the source. That earns authoritative links, ties your name permanently to a statistic people quote, and builds the topical authority that makes AI comfortable naming you. A single well-promoted data study can out-earn a year of ordinary blog posts because it becomes the reference other sources — and the models trained on them — keep citing.

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FAQ

Why do data studies earn so many citations?Because they're the origin of a fact. Once you've published the only number on a question people care about, every article and answer on that topic has to attribute it to you. That makes you the cited source rather than one more voice repeating what everyone already knows.
What makes a data study work for AI visibility?A real, defensible finding on a question your buyers and industry care about, presented clearly with methodology, then actively promoted so others pick it up. The wider it's cited across trusted sources, the more the models absorb your name as the authority behind it.
How do I know if my research is being cited by AI?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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