A question worth answering
Defined with your team from the gaps in your category — something buyers argue about and nobody has measured. This is the step that decides whether the asset works.
Original research produces a number nobody else has published, which gives models, journalists and competitors a reason to cite you by name. It is the slowest lever in generative visibility and the only one that keeps producing citations years after the work is finished.
Typically one substantive research asset per quarter.
Language models and journalists both need something concrete to attribute. An opinion can be paraphrased without credit; a statistic cannot. When you own the only measurement of something your category cares about, every discussion of that topic has a structural reason to name you.
This is the difference between content that competes and content that compounds. A well-written guide competes with fifty other well-written guides and can be superseded next quarter by a better one. A number that only you have measured cannot be superseded, only re-measured — and if nobody else does the work, the citation keeps returning to you.
The mechanism is worth understanding precisely. Models cite sources when a claim needs attribution. Attribution requires specificity: a figure, a date, a sample size, a named methodology. Vague authority claims give a model nothing to anchor to, which is why 'leading provider' language never earns a citation and '64% of commercial prompts end without a click' does.
The uncomfortable part is that this is genuinely hard work. Real research means defining a question worth answering, collecting data honestly, and publishing findings you did not choose in advance. Studies engineered to produce a flattering conclusion are recognisable as marketing, get treated as such, and waste the quarter.
It is also slow. A published study needs months to accumulate the third-party coverage that makes it citable at scale. Anyone promising citation gains from research inside a quarter is describing the publication date, not the outcome. We scope these as multi-quarter assets from the outset.
Each asset includes a defined research question, an honest methodology you could defend publicly, the collected dataset, a published report structured for citation, and the outreach that turns a study nobody has seen into a source that other people quote.
Defined with your team from the gaps in your category — something buyers argue about and nobody has measured. This is the step that decides whether the asset works.
Sample, collection method and limitations documented in full, because the first thing a sceptical journalist or analyst checks is how you got the number.
Collected, cleaned and yours to keep. Frequently reusable across several later assets once the collection mechanism exists.
Findings structured so each headline number sits in a liftable passage with its methodology attached, rather than buried in a narrative.
The study taken to the publications, analysts and communities that cover your category. Unpromoted research earns nothing, however good the number is.
Who quoted the figure, where, and whether the engines picked it up — tracked over quarters, because that is the timescale this operates on.
Each asset runs across a quarter: agree a question your category argues about, design a defensible method, collect and analyse, publish in citation-shaped form, then promote it to the people who write about your sector. Your experts contribute roughly thirty minutes.
What does your category assert constantly without evidence? Those assumptions are the best research questions, because everyone already argues about them and nobody has checked.
→ An agreed research question and hypothesis
Sample, collection and analysis planned before any data is gathered, including what result would disprove the hypothesis. Deciding the conclusion first is what makes research read as marketing.
→ A documented, pre-registered methodology
Run the study, clean the data, and report what it actually shows. Where findings are inconvenient or ambiguous, they go in — that is precisely what makes the rest credible.
→ A clean dataset and findings
Each headline figure placed in a self-contained passage with sample size and method attached, so a model or journalist can quote it accurately without reading the whole report.
→ A published, citation-shaped report
Taken to the analysts, publications and communities that cover your sector, then tracked across quarters for who quoted it and whether engines began repeating the figure.
→ Coverage secured and a citation trend
Every citation lever trades speed against durability. Restructuring content is quick, cheap and capped. Earning mentions is slower and compounds. Original research is the slowest and most expensive of all, and the only one still producing citations after you stop working on it.
| Lever | Speed | What happens when you stop |
|---|---|---|
| Answer-first restructuring | Fast — weeks | Holds until competitors restructure too |
| Comparison content | Moderate — months | Decays as products and rivals change |
| Third-party mentions | Slow — months | Persists, but gradually goes stale |
| Original research | Slowest — quarters | Keeps being cited until someone re-measures |
You need original research when your category argues about numbers that nobody has ever verified, when your faster citation levers have flattened out, or when your credibility rests on claims of expertise that carry nothing specific enough for anyone to quote.
Research is a multi-quarter play. Publication changes nothing on its own; citations accumulate as coverage builds over the following two to three quarters. The payoff is durability — a well-made figure keeps being quoted long after faster tactics have been matched by competitors.
Each answer is written to stand alone in 40 to 60 words — the shape an AI Overview or Perplexity citation lifts. Ships with FAQPage schema.
Four to nine months typically. Publication alone changes nothing — citations accumulate as third-party coverage builds over the following quarters. Anyone promising research-driven citation gains within a quarter is describing the publication date rather than the outcome.
We publish them. Inconvenient results are what make the rest of the report credible, and a study engineered toward a flattering conclusion is recognisable as marketing to exactly the analysts and journalists you need. We agree this before collection begins, not after.
Roughly thirty minutes of a subject expert per asset, usually an interview to shape the question and sense-check the findings. If you hold relevant operational data, add a short session with whoever can export it.
Often the best option. Most companies hold operational data nobody has analysed, and it is genuinely proprietary — no competitor can replicate it. We handle anonymisation and aggregation so nothing client-identifying is published.
Specificity and verifiable method. A model needs a figure, a sample size and a stated methodology to attribute a claim safely. Reports that assert conclusions without showing how they were reached give an engine nothing to anchor a citation to.
One per quarter is the cadence we recommend, because citation momentum compounds across assets and a single study eventually goes stale. One a year is worth doing and will be outpaced by a competitor publishing four.
Thirty minutes with a senior strategist. We pull your live visibility while we talk and tell you plainly whether a original research content is what you need — or whether your problem sits somewhere else.