Resources/Glossary/
Original Research
Content
Also called:
Proprietary research, original data, first-party research, data studies

Original Research

THE SHORT ANSWER

Original research is content built on data or findings a company produces itself, such as surveys, analysis of its own data, experiments or expert interviews. Because the information can't be found elsewhere, it tends to earn links, press coverage and citations in AI answers.

Original research is content built on information a company produces itself: a survey of customers, an analysis of its own product data, a hands-on experiment or a set of expert interviews. The findings are new, so the only way to cite them is to cite you.

For a business, original research is one of the most dependable ways to stand out. Journalists, bloggers and AI tools all need sources for specific claims. A credible, clearly published data point gives them a reason to mention your brand, link to your site and treat you as an authority in your field.

What is original research?

In content marketing, original research means publishing findings that didn't exist before you gathered them. It's the opposite of a roundup that repeats statistics from other sources. Common formats include:

  • Surveys of customers, prospects or professionals in your industry.
  • Proprietary data analysis, such as anonymized trends from your own platform or sales.
  • Experiments and tests, like comparing tools or methods under controlled conditions.
  • Benchmark reports that track the same measures year after year.
  • Expert interviews that gather first-hand views not published elsewhere.

Original research is a strong source of information gain: it adds something to the web that wasn't there before.

Why original research matters

Google asks for it directly. Google's guidance on creating helpful, people-first content includes the question "Does the content provide original information, reporting, research, or analysis?" In its May 2025 guidance on AI search, Google also told site owners to focus on "unique, non-commodity content."

It earns links and coverage. Writers cite data. When your study is the source of a statistic, articles that use it tend to link back to you. That makes research a natural fit for digital PR and a durable way to earn a backlink profile you didn't have to ask for.

It gives AI tools something to cite. In the 2024 KDD paper "GEO: Generative Engine Optimization", researchers from Princeton and other institutions tested ways to change how visible a source is in AI-generated answers. In their benchmark, adding statistics, quotations and source citations were among the methods that improved visibility the most, while keyword stuffing performed poorly. It's one study in a test setting, but it points the same way: specific, verifiable facts give AI tools a reason to use and credit a source.

It shows real expertise. Research demonstrates the first-hand experience and authority that E-E-A-T describes, in a way a generic article can't.

How original research works

Start with a question people care about

Good research answers a question your audience, and the journalists who cover your industry, actually ask. Look at recurring customer questions, debates in your field and statistics that are often quoted but outdated.

Choose a method that fits

Pick the simplest method that can answer the question honestly. A survey needs enough responses and neutral questions. A data analysis needs clean data and a clear definition of what you're measuring. An experiment needs a fair setup that others could repeat.

Publish the findings on your own site

Put the research on a crawlable web page, not only in a gated PDF. Lead with the headline findings, then explain the method, the sample size and the dates. A dedicated page gives every AI citation, link and press mention one place to point.

Promote it

Share the findings with journalists, partners and your audience. Offer a short summary, a few clear charts and someone available to comment.

How to create original research on a budget

  • Use data you already have. Support tickets, sales calls, product usage and anonymized customer data often hold patterns nobody else can see.
  • Run a focused survey. Ask a handful of well-written questions instead of 40 vague ones.
  • Repeat it. An annual study builds a trend line, gives people a reason to come back and earns new coverage each year.
  • Be transparent. State the sample, dates, method and limitations. Credible methodology is what makes others comfortable citing you.
  • Write quotable findings. Express each key finding as one clear sentence with a number, so it's easy to quote accurately.
  • Keep the page updated. Add new editions to the same URL or link editions together, so links and citations build up in one place.

Common mistakes and misconceptions

"Any survey counts." Tiny samples, leading questions and cherry-picked results damage trust. If you wouldn't defend the method to a skeptical reporter, don't publish it.

"Gate it for leads." Research locked behind a form can't be read by search engines or AI crawlers, and journalists rarely cite what they can't see. Publish the key findings openly, and gate the extras if you want.

"Bury the findings in a long report." If the main results aren't easy to find, people will cite someone else's summary of them instead of you.

"Publish and wait." Research rarely spreads on its own. Plan promotion before the study is finished.

"Research guarantees AI citations." It improves your odds by giving AI tools something specific to use. No one controls which sources an AI system cites.

How Butter approaches original research

Original research is something we practice ourselves: Butter Labs publishes our own studies on how brands show up in AI search. For clients, our role is around the research. We treat information gain as an editorial discipline: before recommending new pages, we look at what already ranks and what AI tools currently say, then focus on the evidence, examples and expertise a client can uniquely provide.

When a client has findings worth sharing, our public relations work focuses on earned media coverage, starting with a real story, the right publications and a citable page on the client's site that coverage can point to. Monthly AI prompt testing in our GEO plans helps show which publications AI answers cite in a category and whether coverage is changing how the brand appears. We don't buy links or promise placements.

Frequently asked questions

What counts as original research in content marketing?

Any findings your business produces itself: surveys, analysis of your own data, experiments, benchmark studies or expert interviews. The key is that the information didn't exist publicly before you published it.

Does original research help SEO?

It can. Google's guidance asks whether content provides original information, reporting, research or analysis. Research also tends to earn links and press mentions, which help people and search engines find and trust your site.

Does original research help with AI search?

It gives AI tools specific, verifiable facts to cite. A 2024 study on generative engine optimization found that adding statistics, quotations and citations improved a source's visibility in AI answers in its tests. No one can guarantee a citation.

How big does a survey need to be?

There's no single number. It needs to be large enough and representative enough to support the claims you make. Report your sample size and method so readers can judge the findings for themselves.

Sources and further reading

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