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GlossarySEO

What is original research in content marketing?

Also called: original data, proprietary data, first-party research, information gain

Definition

Original research is content built on information you produced yourself, such as survey results, product data, experiments, benchmarks or first-hand tests, rather than summarizing what others have already published.

Original research, explained

Most content on any topic is a remix of the same few sources. Original research is the exception: it's the source others cite. That's why it attracts links, press mentions and AI citations out of proportion to its effort.

Google's documentation rewards it explicitly. Its ranking systems guide describes original content systems designed to show original content prominently, including original reporting, ahead of those who merely cite it. Its reviews system aims to reward content that provides insightful analysis and original research. And its helpful content questions ask whether a page provides original information, reporting, research or analysis.

A startup has more original material than it thinks. Anonymized, aggregated product data ("median time to first invoice across our users"). A benchmark you ran. A test of five tools against the same task, with screenshots. A survey of your customers. Your own results with a tactic, including what didn't work. Our own case study, one product's Search Console numbers, is original research in miniature.

Rigor matters more than size. State the method, the sample, the period and the limits. Don't round up, cherry-pick or extrapolate beyond the data. Publish the numbers as text and tables, not only charts, so readers and AI systems can quote them. Date it.

The GEO research paper that coined "generative engine optimization" found that adding statistics and citations made content more visible in AI answers. That's only true when the statistics are real. Invented numbers get repeated, then get caught, and the damage to trust outlasts any short-term visibility.

Why it matters for founders

Original data is the one thing competitors and AI summaries can't copy from elsewhere. It earns links and citations that a new site would otherwise struggle to get.

Example

A form-builder startup publishes aggregated completion rates by number of form fields from its own anonymized data, with the method stated. Blogs and newsletters cite it, and assistants quote the figures with a link.

Common mistakes

  • Presenting a tiny or biased sample as industry truth.
  • Publishing numbers only inside charts or images.
  • Inventing statistics because "statistics help GEO".

Sources

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