Original Research

Original research is new information gathered and reported by the people who did the work, published for the first time with a note on how it was done. A North Dakota State University library guide describes it as new data that hasn't been published before, with the methods spelled out so others can check them.

Source: North Dakota State University Libraries, Finding and Identifying Original Research Articles in the Sciences, checked October 29, 2026

What Original Research means for your business

For a business, original research usually means your own numbers: a survey of customers, a count of jobs by season, a test you ran or a tally of the questions people call about. You'll see the raw numbers called original data. Proprietary data means data only your company holds, like your job records or call logs. Records turn into research when you check them, write down how, and publish what you found.

Google says it has systems meant to show original content, including original reporting, ahead of pages that merely cite it. That's part of why, when we publish a field study, we list every question we asked, the dates we ran them and how we ran them, so anyone can check our work or run it again.

We'd start small. Pick one question your customers ask that nobody answers with real numbers, and answer it from your own records. Keep customer names out, say how many records you looked at, and say what the data can't show.

If your blog repeats what's already out there and AI answers quote other sources in your field, turning what your business knows into findings worth publishing is what our citation-ready content work is built for.

Last reviewed October 29, 2026. All terms

How AI answers it today

On October 29, 2026, Google's AI Overview and ChatGPT both gave only the academic meaning. The Overview cited university library guides, journal pages and YouTube, and ChatGPT used a student survey as its example and cited nothing.

Our run through ChatGPT and Google's AI Overview, October 29, 2026. A sample, not what every buyer sees.

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