Data-led digital PR that gives journalists and AI engines something worth citing.
Most digital PR is a press release nobody asked for, pitched to a bought list, hoping for a link. Data-led PR works because it starts with something real: original research, a survey, a fresh analysis of numbers only you can see. Give a journalist a statistic worth quoting and the coverage, the links and the AI citations follow.
Data-led digital PR is the practice of earning press coverage, editorial links and AI citations by publishing original data: surveys, proprietary datasets, or fresh analysis that journalists and answer engines want to quote. Instead of pitching opinion to a bought media list, you create a genuinely new statistic or finding, package it so it is easy to cite, and let the numbers do the persuading. Rogue Logic runs data-led PR as the authority engine under your SEO and AEO, measured on referring domains, quality coverage and assisted ranking movement rather than raw link counts.
Data-led PR, in full.
Data-led digital PR is the discipline of earning coverage with evidence rather than assertion. A conventional PR pitch says your company thinks something; a data-led campaign says the numbers show something, and hands a journalist a statistic they can build a headline on. That difference is everything, because a writer under deadline pressure will always take the story that is already half-written. A defensible stat, a clean chart and a quotable source do more of their job than a page of adjectives ever will.
It works because the incentives line up. Journalists need fresh, specific figures to justify a story and to lead with. Editors want data they can attribute to a named source without risk. And the reward for giving them that is exactly what SEO and AEO need underneath them: editorial links from real publications, and a reference asset the wider web treats as a primary source. The same survey that lands a trade-press feature is the page that ranks for the statistic and the passage that ChatGPT, Perplexity and Google's AI Overviews reach for when someone asks the question your data answers.
This is why we run data-led PR inside Digital PR and alongside SEO and AEO rather than as a standalone stunt. A study built only for a press hit dies the week after it lands. A study built as a permanent, well-structured reference page keeps earning links, keeps ranking and keeps getting cited long after the news cycle moves on. Building the asset once and pointing it at all three jobs is what turns a one-off campaign into authority that holds. Outreach itself is delivered through a specialist partner under our management, so the angle, the methodology and the analysis stay with the senior team who own your account.
We will also tell you when the data is not there yet. If you have no proprietary numbers, no audience to survey and no defensible angle, the honest first step is to build one, not to dress up a weak finding as a headline. A study that gets picked apart by the people you were trying to impress is worse than no study at all. We would rather spend the time getting the methodology right than ship a statistic we cannot stand behind.
Data-led PR, broken down.
Finding the data angle
Before anything is written, we work out what you can measure, survey or analyse that a journalist in your sector would genuinely want. Proprietary platform data, a customer survey, a fresh cut of public figures: the angle has to be new, specific and defensible. This is where most campaigns are won or lost.
Original research and surveys
We design and run the study: the survey instrument, the sample, or the analysis of data you already hold. The methodology is built to survive scrutiny, because a finding that gets debunked damages the authority it was meant to build.
Explore →The cite-ready reference asset
Every study becomes a permanent landing page: headline stat, clear methodology, charts, and a named source, structured so search engines, journalists and AI models can all quote it cleanly. Marked up so the key figures are machine-readable, not buried in prose.
Explore →Journalist and editor outreach
Targeted outreach to the named writers who cover your category, pitching the finding they would actually run rather than a mailmerge to a bought list. Delivered through a specialist partner under our management, so the story and the targeting stay with the senior team.
Explore →Authority routed into AEO
A well-cited statistic is one of the clearest ways to become a source AI assistants quote. We feed earned coverage and the reference page into your answer engine optimisation so the same data works in classic search and in AI answers.
Explore →Reporting on domains and citations
Every campaign is reported on referring domains earned, the quality and relevance of coverage, and the ranking and citation movement it assisted, judged honestly. You see what landed, where, and why it matters commercially.
Explore →The way we run Data-led PR.
Find the defensible angle
We start from what you can uniquely measure or survey, and the questions your sector's journalists are already writing about. The output is a specific, provable finding worth building a campaign around, not a vague theme.
Design the study
We build the methodology: the survey and sample, or the analysis of data you hold, structured so the result is honest and hard to challenge. If the numbers will not support a headline, we say so before the work goes further.
Run it and interrogate the results
We gather the data and stress-test what it actually shows, separating the genuinely quotable finding from the noise. We will not stretch a result into a claim it cannot bear.
Build the cite-ready asset
The finding becomes a permanent reference page: a clear headline stat, transparent methodology, charts and a named source, marked up so search, journalists and AI models can all quote it without friction.
Map targets and pitch
We map the named writers and outlets who cover your category and what they have recently run, then pitch the story with restraint through our managed specialist partner. No spray-and-pray lists.
Feed it back and report
Earned coverage, links and the reference page are routed into the SEO and AEO model so the authority compounds, and reported against referring domains, citations and assisted ranking movement, not a vanity total.
How we approach Data-led PR.
The data is the story
A campaign starts with a number, not a hunch. We find what you can measure, survey or analyse that nobody else can, and build the story around a finding a journalist would actually run. No data, no campaign, because opinion pitched cold does not earn coverage.
Built once, used three ways
One strong dataset earns editorial links, ranks as a reference page and gets quoted by answer engines. We design each study to do all three jobs, so the authority compounds across search, PR and AI instead of leaking away in a single press hit.
Cite-ready by design
Journalists and AI models quote what is easy to quote: a clear headline stat, a clean methodology, a named source and a linkable landing page. We package every finding so the citation is the path of least resistance, not extra work for the writer.
Senior hands, honest numbers
Four senior practitioners run the angle, the methodology and the analysis. We do not torture data into a headline it cannot support, and we report exactly what landed, because a study that gets debunked costs you more than the coverage was ever worth.
What Data-led PR puts on your desk.
Who runs the research, and the standards behind the numbers
Data-led PR lives or dies on whether the numbers hold up. A weak methodology does not just fail to land, it hands a critic the tools to discredit you in public. So the angle, the study design and the analysis stay with senior people, and the standard is simple: we only publish findings we can defend, and we report honestly on what the coverage actually achieved.
Senior team, real analysis
Four senior practitioners with around forty years of combined experience own your account. Outreach is delivered through a specialist partner we manage, but the judgement about what to measure, how to analyse it and what it honestly shows never leaves the senior team.
A methodology-first method
We design studies to survive scrutiny: clear samples, transparent methods, honest caveats. We do not torture data into a headline it cannot support, because a finding that gets debunked destroys the authority the campaign was built to earn.
Standards we will not bend
We will not overstate a result, fake a sample or promise coverage we cannot control. We report referring domains, coverage quality, AI citations and assisted ranking movement honestly, including the campaigns that did not land as hoped.
Data-led PR: common questions.
What is data-led digital PR?
Data-led digital PR is the practice of earning press coverage, editorial links and AI citations by publishing original data rather than opinion. You create a genuinely new statistic or finding, from a survey, a proprietary dataset or fresh analysis, package it so journalists and answer engines can quote it easily, and let the numbers earn the coverage. It is the most durable form of digital PR because the reference asset keeps ranking and getting cited long after the news hit fades.
How is data-led PR different from ordinary digital PR?
Ordinary digital PR often pitches an opinion, a comment or a company announcement and hopes a journalist bites. Data-led PR leads with evidence: a specific, provable finding a writer can build a headline on. That changes the odds, because a fresh statistic with a clean methodology is far easier to run than another company's opinion. It also leaves behind a permanent reference page that keeps earning links and citations, which a one-off press release never does.
Do we need our own data to run a campaign?
Not necessarily. The best campaigns use proprietary data only you hold, but we can also design and run a fresh survey, or produce an original analysis of public figures that nobody has cut that way before. What matters is that the finding is new, specific and defensible. If there is genuinely no angle yet, we will tell you honestly and help you build one rather than dressing up a weak result.
How does data-led PR help with AI answer engines?
AI assistants like ChatGPT, Perplexity and Google's AI Overviews reach for clear, attributable statistics when they answer questions. A well-structured study with a quotable headline stat, a named source and machine-readable markup is exactly the kind of source they cite. We route earned coverage and the reference page into your answer engine optimisation, so the same data works in classic search results and in AI answers.
How much does data-led digital PR cost in the UK?
Our retainers start from £1,500 a month, with data-led PR running inside the wider SEO, digital PR and AEO model rather than as an isolated line item. The right investment depends on the scale of research each campaign needs, your sector and how competitive the coverage is. We scope it honestly once we understand what data you can access and what a campaign would realistically achieve.
Can you guarantee coverage or a number of links?
No, and any agency that does is either buying links or overselling. Earned coverage is earned: we commit to the research, the angle and the outreach, then report exactly what landed. What we can promise is a study strong enough to deserve coverage and a methodology that will survive scrutiny, which is the part actually within our control.
What happens to the research after the campaign?
It becomes a permanent asset. Every study lives on as a structured reference page that keeps ranking for the statistic, keeps earning links as people cite it, and keeps getting quoted by answer engines. That is the whole point of building it as a reference rather than a press release: the authority compounds instead of disappearing after one news cycle.
How do you measure whether a campaign worked?
On referring domains earned, the quality and relevance of the coverage, the AI citations the study attracts, and the ranking movement it assists, judged honestly. We deliberately avoid vanity metrics like raw link totals or unqualified reach numbers, because they flatter a report without telling you whether the work moved anything commercially.