Original data is citation bait, in the good way

When a model needs a figure to support a point, it goes looking for a source that has one. If you are the company that ran the survey, crunched the anonymised usage data, or published the benchmark, you become that source. Original research is one of the few things that reliably earns a citation, because it gives the machine something it cannot get from a dozen competitors repeating the same received wisdom.

The mechanism is simple. A striking, well-sourced statistic gets picked up, referenced, and repeated. Each time another page cites your number, the association between that fact and your brand gets stronger, until the model treats you as the origin of the claim. You have turned a piece of knowledge into a durable mention.

It does not need to be a huge study. A clear analysis of data you already hold, presented honestly with its method on show, can do the job. What matters is that the figure is specific, defensible, and genuinely yours. Vague claims invite nobody to cite them. A precise one, attributed to you, is almost designed to spread.

The discipline is honesty. Inflated or sloppy numbers eventually get challenged, and a model that learns to distrust your figures is worse than one that never saw them. Publish research you would defend in front of a sceptic, and let the citations compound.