Brand Tracking Test: Is your university being cited by AI? 

If you ask any senior higher ed marketer what their brand tracker measures, you’ll get a confident answer: awareness, perception, intent. If you ask them whether their institution is actually being cited as one of the select few results that appear in AI generated answers when a prospective student asks a question about higher ed: the confidence disappears quickly. 

That’s not a small gap. It’s THE gap. 

Back in December 2025, (a mere 9 months ago) I wrote about the five questions every higher education brand tracking survey should ask, covering unprompted awareness, prompted awareness, brand perception, consideration and intent, and student sentiment. Those five questions have carried brand health measurement in this sector for years, and they still matter. But they were built for a world where a prospective student’s journey ran through a SERP full of blue links they could click, compare, and judge for themselves. A page where you used to be able to pay to play, and see wicked fast success when you spent the most money out of your competitors.  

That world is most of the way gone, replaced with a cyclic system that requires consistent and foundational interconnectivity to resonate with the prospective students of today. 

Where did this all come from? 

If it feels like AI usage has just gone from something to be mindful of, to something at the top of every marketing meeting agenda this year, there’s a reason. We’ve found that AI usage among prospective students surged from 68% to 88% in one single year.  

That’s not a trend line. That’s a hockey stick, and it means AI platforms aren’t sitting alongside the linear funnel you’ve grown comfortable with. AI is the front door, the gatekeeper, the short-list maker. By the time a prospective student fills out an inquiry form on your website, their consideration set maybe has two schools on it, built on how AI tools interpreted your institution’s presence, pricing, and positioning long before anyone from your team said a word. 

So not even a year ago, I’ve gone through the five questions you need in your brand tracking survey. But we must continue to evolve with the pace of the industry, so here’s question six. 

Question 6: Are We Being Cited, or Just Present? 

The question to ask: “When AI summarizes schools like ours, do they name us as a source, or leave us out of the answer entirely?” 

Why it matters: Mention and citation are not the same thing, and most institutions have never separated them when considering their AI presence. Your institution might show up in an AI Overview’s list of options while a competitor gets quoted, linked, and credited as the authority. One of you is building trust. The other is functionally invisible even while you’re technically visible. 

Strategic decisions based on your answer to question 6: 

Prioritize earned media that’s built to be cited, not just read.  

AI Overviews are trained on trusted, published, credible content. A research story that lands in a national outlet doesn’t just create a good headline and a good story. It becomes training data that your prospective students’ AI tools are quietly drawing from. Seeing your institution advertise in a trusted news outlet already improves perception for over 7 in 10 prospects. Coverage of your actual research does more: nearly 9 in 10 prospects say it improves their impression of your institution, and over 50% of undergrads say it makes their impression of your institution “much more positive.” 

Give your faculty the byline, not just the quote.  

Here’s the finding that should reorder every comms team’s priority list: 77% of prospects trust universities more than journalists or podcasters when it comes to research news, rising to 85% among graduate prospects. Let’s run that back one more time for the group in the back: your professors are a more trusted messenger than the reporter covering them. Someone already on your faculty, that you have a matching email domain with, who’s academic leadership could be harnessed for institutional growth and AI citations? That’s the secret sauce. Most institutions never capitalize on that, because nobody connects “our faculty member said this” back to “this is our institution’s expertise” anywhere a prospective student, or an AI model, can see it. This is your chance to change that narrative. 

Track citation the way you already track sentiment.  

You wouldn’t run a brand tracker without measuring perception over time. So you need to treat AI citation the same way. Launch an incognito browser, pick a handful of the questions prospective students are actually typing into ChatGPT or a Google about your program area: are you named, are you linked, are you quoted, or did you just get mentioned in a list with six other schools that all sound the same? Then put a recurring meeting on your calendar to remind yourself to check quarterly and track the results. 

This is the metric brand trackers haven’t caught up to yet, which is exactly why it’s worth being early. Institutions that start measuring citation rates now will have a baseline before their competitors even know the metric exists. Don’t inflate your numbers either. This is a true baseline and gives your team the opportunity to showcase true growth. 

The Data Backs This Up, and It’s Not Subtle 

A decade ago, only 13% of prospective students started their school search with a brand term already in mind. Let’s revisit what happened 10 years ago: did you onboard your CRM, decrease your on-site tour campaigns, launch your social channels, or develop your channel marketing strategy? A lot of institutions did, and during that time, about 13% of prospective students started their school search with a brand term or institution name already in mind. Today… 53% do. Over half of prospective students are starting their school search with an institution or a brand already in their consideration set. Students aren’t searching far and wide to discover your institution anymore. They’re searching to verify what they already encountered or concluded somewhere else, often from an AI-generated summary. But if that summary didn’t cite you, you never got the chance to be verified by over half of the students who included your institution’s name directly in their AI query.  

That’s the whole “cited or silent” problem in one stat. 

What to Do With This on Monday Morning 

So there have been some hyper-speed changes in the market and in the behavior of prospective students that might feel impossible to keep up with. But you don’t need a bigger research budget to start. You need a slightly different set of questions on the same tracker you’re already running, and the discipline to check a handful of real AI-generated answers the way you’d check a competitor’s website. 

If you want the fuller framework, EDDY’s Trusted Media Whitepaper and 2026 Modern Learner Report go several layers deeper on both the trust data and the AI behavior shift behind it, and the Signal Engineering Webinar walks through how to conceptualize this cyclic and interdependent marketing framework that works in this decade. 

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Barbs Trussler is a Global Research Lead at EducationDynamics, where she’s spent the past several years helping higher ed marketers measure brand health, program demand, and now, AI visibility.