CollegeRanker Studio
Higher education's most-cited stories start with data, not ad budgets.
- 20 years
- In higher-education research
- 100% federal data
- No surveys, no invented numbers
- 5,745 colleges
- In our outcomes dataset
- Independent
- Rankings never for sale
Clients we’ve worked with
Trusted by the publishers that shape higher-ed search
Partners & collaborators
Why earned media
Attention is rented. Authority is earned.
Bought attention disappears the moment you stop paying for it. Prestige rankings are rented too, and every institution is gaming the same ten of them. Neither one is yours to keep.
What lasts is a finding the press quotes and your peers link to. It builds your reputation, your search authority, and your enrollment funnel at the same time, and it keeps working long after a campaign ends. That kind of asset takes two things: real data and a real story. Most colleges already have the first. Almost none of them find the second.
That second part is the whole job. It is what we do.
Our content strategy
The DataPyramid
How we turn data nobody else has into stories the whole industry cites, and then the AI answers cite back. It reads from the foundation up: proprietary data at the base, earned media at the peak. Each layer compounds the one beneath it, and the whole pyramid compounds every time we run it again.
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Earned media
Press pickups and backlinks that compound into authority, then feed the AI answers, which sends us back to the data with more reach than before.
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Shareable assets
Embeddable infographics, branded reports, interactive maps, and open data files, structured to be cited by reporters and language models alike.
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The story
We frame the numbers as a narrative a newsroom can run, with a headline finding and claims quotable as written.
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Original analysis
Rankings, state comparisons, value per dollar, AI resilience: the information gain that earns the rankings.
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Proprietary data
Public datasets blended with a college’s own institutional and private data, into a single layer competitors cannot copy.
The compounding loop
Why the citations turn into an avalanche
The pyramid is not a one-time climb. Every study earns citations, the citations build authority, and that authority gives the next study more reach than the last. Run the loop enough times and a second engine kicks in: the language models that now answer student and reporter questions start treating your data as a default source. That is when steady coverage becomes an avalanche of citations, in the press and inside the AI answers both.
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Publish the data
We ship a study, ranking, or index built to be quoted, with a methodology a reporter or a model can trust on sight.
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The industry cites it
Newsrooms, .edu pages, trade desks, and counselors link to it. Each citation is a vote that this is the source on the question.
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Authority compounds
Those links and the branded searches they drive lift everything else you publish, so the next study starts from higher ground than the last.
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AI models learn you
ChatGPT, Gemini, Perplexity, and Google’s AI answers are trained and retrieved on exactly this kind of sourced, structured research. Once you are the cited source, you become the source they cite.
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Cited more
Pages built on original research are cited by AI models several times more often than republished list content.
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Brand search
The strongest predictor of getting cited by AI is how often people search your name, which earned research is what builds.
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First mover
AI citations compound on work already done. Become the default answer first and late entrants spend years outrunning the gap.
Every layer is built so the one above it can stand on it. We run this for ourselves, then build it for you.
Proof, not a pitch
We pointed it at the whole country first.
The State of American Higher Education Outcomes is our annual report. We built it from the same federal data we would use for your institution, then engineered it to be cited. Three of the findings reporters keep pulling:
- 77% the earnings gap between the top and bottom state, wider than the gap between flagship and mid-tier schools.
- Public > private public universities move low-income students into the top income quintile faster than elite private ones.
- Two maps the states that pay graduates the most are rarely the ones that lift them the most.
The press angles we built in
- Inequality & Mobility
- Economic ROI
- Public Accountability
- National Contrast
- AI Resilience
The engagement
The Earned Media Sprint
A focused engagement that takes your data from raw to published. You come out of it with a finding worth covering, the asset that proves it, and the press angles to place it. One story, built to be cited, and yours to keep.
From
$10,000 / sprint
What you leave with
- A signature data finding that is true, surprising, and yours
- A cite-ready asset: a report, index, or study built to federal-data standard
- A pressroom-ready set of angles, each quotable as written
- Targeted outreach to the reporters who cover your story
How the Sprint works
Raw data to published story, in four moves.
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Mine the data
We dig into your institutional and outcomes data and find the one fact that is true, surprising, and yours alone.
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Build the asset
We turn that fact into something a reporter can cite: a report, an index, or a study, built to our federal-data standard.
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Engineer the angles
We frame the story for the outlets that matter, with a pressroom-ready set of angles, each one quotable as written.
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Place and amplify
We pitch the journalists, then run the asset across your channels and ours so it keeps working after the news cycle.
Beyond the Sprint
Three more ways to work with us.
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Research
Signature Research & Indices
A recurring report or index that becomes your franchise, the way The State of American Higher Education Outcomes became ours. Build it once, own the category every year.
Pricing
Scoped per engagement
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Data
Data & Intelligence
License the CollegeRanker Data Index, or commission custom workforce research, held to the same sourced, no-invented-numbers standard as everything we publish.
Pricing
Scoped to use case
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Sponsored
Sponsored & Editorial
Clearly labeled placement in front of students, parents, and counselors at the decision point. Kept separate from our independent rankings, always.
Pricing
From $1,500
Sponsored work is always labeled, and our rankings and editorial are never for sale.
Why CollegeRanker Studio
We do this for ourselves every day.
Most agencies that pitch higher-ed PR have never built a dataset. We started there. CollegeRanker grades 5,745 institutions on federal earnings, mobility, and debt data, and that work is what taught us where the real stories hide.
Every number we publish traces back to a public source, and we never invent one. That is why journalists trust the data when we bring it, and it is the same standard your story gets.
David Krug
Founder · CollegeRanker
A twenty-year veteran of higher-education research and a data scientist who tracks the pulse of American higher education and what it does to the American Dream. He will be on the call.
Book time with David →Who it's for
Built for institutions with a story in their data.
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Colleges & universities
Comms, marketing, and enrollment teams that want to own a story instead of renting attention.
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Systems & state agencies
Public systems with a mandate to show outcomes and the data to prove it.
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Workforce & EdTech
Organizations whose data says something the labor market should hear.
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Associations & foundations
Groups that move the conversation when they bring evidence instead of opinion.
What you walk away with
An asset that keeps working.
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An asset you own
A report or index with your name on it that keeps earning citations long after launch.
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Journalist relationships
Reporters who learn that your data is reliable, and come back the next time they need it.
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Durable search authority
Backlinks and brand searches that compound, instead of impressions that vanish when the budget does.
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A warmer funnel
Prospective students and families meet you as the institution with the credible story, not the loudest ad.
How we keep this clean.
CollegeRanker's rankings, data, and editorial are independent and are not for sale. Studio work is kept separate from that editorial, and anything sponsored is labeled as sponsored. Our data, including the CollegeRanker Data Index, is held to the same sourced standard whether it appears in one of our reports or one we build for you. We will never invent a number to make a story land.
Studio Insights
Latest thinking
Questions
Frequently asked
What is the Earned Media Sprint?
A fixed-scope engagement where we take a data angle, build the research and assets around it, and pitch it to the press. You walk away with a publishable study, the branded visuals, and an outreach push, usually in a few weeks.
How much does it cost?
The flagship Earned Media Sprint is $10,000. Larger campaigns and ongoing research programs are scoped on a call. You do not need a long retainer to start.
How long does a Sprint take?
Most run three to five weeks from kickoff to pitch, depending on how much shaping the data needs to support the angle.
What exactly do I get?
A data-driven study or ranking, the branded assets (an infographic, a report, embeddable visuals), a press-ready pitch with target outlets and angles, and the outreach itself.
How is this different from a PR or content agency?
We lead with proprietary data, not ad budgets or generic blog posts. We run this method on our own site every day, so you are buying an engine that already earns links and rankings, not a deck that promises it.
Do you guarantee placements or backlinks?
No honest firm can guarantee specific outlets. What we can promise is a genuinely newsworthy, data-backed story and a disciplined outreach process, which is what actually earns coverage. We report transparently on what landed.
Can you guarantee the number of mentions you’ll generate?
We do not, and you should be wary of any company that does. To stay inside Google’s quality standards, we never buy links or mentions on your behalf. Earned media depends on authentic content and relationships that are built over time. What we can offer is a proprietary read on how often sources get mentioned in your vertical, which lets us set benchmarks we can hit at a high confidence interval because they are statistically grounded. The value also diversifies: it shows up as reach on your own site and in search, not only as named pickups.
What data do you use?
We combine public datasets with a college’s own institutional and private data. That combination, interpreted in a way no single source already shows, is what creates the information gain reporters and search engines reward.
What if we do not have our own data?
That is fine. Many of our strongest stories are built entirely from public data interpreted in a new way. If you do have proprietary data, we fold it in for a sharper, harder-to-copy angle.
Who owns the research and the assets?
You do. The study, the visuals, and the underlying analysis are yours to keep, republish, and build on.
Who is this for?
Colleges and universities, edtech companies, and education nonprofits that want durable authority and links rather than rented attention.
What kinds of outlets do you pitch?
National and trade press, education and data desks, newsletters, and local outlets when a story has a regional angle. We match the angle to the desk rather than blasting one list.
What is the actual process?
The DataPyramid: proprietary data, original analysis, the story, shareable assets, then earned media. It is built as a loop, not a one-off. Each story earns citations that lift the next one, and that compounding record is what eventually makes the AI answers cite you too.
Do you offer ongoing work beyond the Sprint?
Yes. Many partners run a Sprint first, then move to a quarterly research program or a content partnership once they have seen it work.
How do you measure success?
Placements, backlinks and their authority, referral traffic, the rankings lift that follows, and increasingly whether the AI answers name you as a source. We report on what the campaign actually produced, not vanity metrics.
Will this help us get cited by AI like ChatGPT?
Yes, and it is fast becoming the main reason to do it. The same sourced, structured research that earns press is exactly what ChatGPT, Gemini, Perplexity, and Google’s AI answers pull from when a student or reporter asks about colleges and outcomes. Original research gets cited by AI several times more often than republished content, and the more your work is cited and searched by name, the more the models treat you as a default source. That advantage compounds, so the institutions that build the record first are the hardest to displace later.
Who runs it?
David Krug, who has produced higher-education content for over 20 years, leads every engagement. You work with the person who built CollegeRanker’s own data engine, not a junior account team.
How do we get started?
Book a 20-minute call. We will tell you honestly whether there is a story worth telling and what it would take to land it.
Still have a question? Book a 20-minute call and ask it directly.
Let's find your story
Tell us what your data might be hiding.
The fastest way to start is a 20-minute call. Or send a note and we will come back with where the story probably is.
Book a 20-minute call