Original data beats polished content when you want AI and editors to cite you

If your page says the same thing as ten others, it gets skipped. Original data changes the game because it gives models and people a reason to quote your page instead of paraphrasing the crowd.

What works best:
— small surveys with a clear method
— scraped patterns from public pages
— before/after comparisons from your own tests
— simple benchmarks with enough context to trust
Even one clean chart can outperform a long generic guide.

Make the data easy to reuse. Put the key finding in the first screen, label tables clearly, and add one sentence that explains why the result matters. If a reporter or AI answer has to dig for the point, you lose the citation.

Also publish the boring parts: sample size, method, date range, and limits. That is what makes your research look real, not padded. Thin claims get ignored; transparent research gets lifted.

If you want more citations, build pages that answer one narrow question with one sharp dataset, then make the takeaway impossible to miss.