Original research
Original survey-based research collecting primary data. Cited disproportionately by AI engines because the data exists nowhere else.
Executive summary
Three short paragraphs explaining the feature and value.
Original research pieces publish survey-based studies where the brand collects primary data from a defined audience and reports the findings. Survey design, sample selection, data collection, analysis, conclusions. The format produces data that did not exist before publication, which is the single most powerful citation lever any brand can pull in the AI knowledge graph for category authority.
AI engines cite original research disproportionately because the data exists nowhere else. A single well-executed survey report can drive citations for years across what does the industry think about X type queries. The cumulative effect compounds: a brand that publishes one original research report per year becomes the named source AI engines reach for when buyers ask about category sentiment or behaviour.
Quality of research design matters more than scale of marketing around it. A survey of two hundred well-targeted respondents using rigorous methodology earns more citation lift than a survey of two thousand poorly-targeted respondents. The strongest research pieces document methodology transparently, name sample sources, share limitations honestly, and make raw data available where possible for readers to inspect.
Key highlights
Five capability points teams should know about quickly.
- Original survey-based research collecting primary data
- Cited disproportionately by AI engines for years
- Single most powerful citation lever for category authority
- Rigorous methodology beats large sample sizes
- Transparent limitations earn lasting credibility
Top FAQs
Five common questions answered for fast practical clarity.
What kind of research warrants original investment?
Questions buyers in the category genuinely want answered that nobody else has answered. State of the industry surveys, role-specific behaviour surveys, attitude surveys on emerging topics, salary or budget benchmarks. The Brand profile and Search questions surfaces together suggest gaps in the existing research landscape where a fresh study would fill genuine demand.
How big should the sample be?
Two hundred to two thousand respondents typically, depending on the population being surveyed. Smaller samples work for very narrow audiences (CMOs at SaaS companies above a hundred million revenue) where the population itself is small. Larger samples work for broad audiences (small business owners across all categories). Match sample size to statistical power needs rather than chasing arbitrary big numbers.
Should we report negative or surprising findings?
Yes always. Surprising findings drive citation lift more than confirming findings because they earn the brand attention for breaking news. Even negative findings about the brand's own category (or assumptions the brand previously promoted) earn credibility through honest reporting. AI engines reward transparency and surprising specificity over flattering but predictable conclusions consistently across the index.
How often should we publish original research?
One to four substantial reports per year for most brands. Smaller pulse surveys can publish more frequently, monthly or quarterly, with shorter analysis pieces tied to each. The cadence depends on the brand's research investment capability. The cumulative effect of consistent research publishing compounds; sporadic one-off reports without a research programme behind them earn less category authority.
How does the writer pipeline handle research?
The pipeline accepts the research details (research question, sample, methodology, findings, raw data link), and the brand's interpretation of implications. Drafts the report structured with methodology section, findings section with charts described, implications section, and limitations section. The research team reviews for accuracy before publishing through the research flow with full methodology disclosure.