The Invisible Admissions Office
Something quietly radical happened to college admissions, and most university leaders haven’t noticed yet.
A high school junior in suburban Ohio sits down to figure out where to apply. Ten years ago, she would have Googled “best nursing programs Midwest,” scrolled through U.S. News rankings, maybe clicked a few glossy university websites. Five years ago, she might have watched TikToks from current students or browsed Reddit threads. Today? She opens ChatGPT and types: “Where should I study nursing if I want to work in pediatric care?”
The answer she gets back won’t include your institution’s carefully SEO-optimized landing page. It won’t reference the $200,000 you spent on that viewbook redesign. It will be a confident, conversational paragraph synthesized from training data, and if your school isn’t in that paragraph, you functionally don’t exist in her decision-making process.
Welcome to the invisible admissions office.
The New Front Door
Inside Higher Ed reported this week that college marketers are scrambling to understand what the industry is now calling “AI visibility.” The concept is straightforward: when prospective students ask AI tools about colleges, programs, or career paths, does your institution show up? And if so, what does the AI say about you?
This isn’t SEO. Search engine optimization operates on keywords, backlinks, metadata. You can game it. You can hire consultants. You can measure it with dashboards. AI visibility is a fundamentally different beast. Large language models synthesize information from massive datasets, and the factors that determine which schools get mentioned are opaque, shifting, and largely outside any marketer’s control.
The data backs up the urgency. Gen Z and Gen Alpha students are increasingly bypassing traditional search engines entirely, going straight to ChatGPT, Gemini, or Perplexity for foundational questions about their futures. This isn’t a fringe behavior. It’s becoming the default.
Why This Matters More Than You Think
The implications go well beyond marketing departments. This shift strikes at the heart of how higher education communicates its value to the world.
For decades, universities controlled their own narratives. You built a brand. You told your story through admissions counselors, campus visits, alumni networks, and carefully staged promotional materials. The prospective student’s journey was a funnel you designed and managed.
AI chatbots blow up that funnel. When a student asks an AI “Is a business degree worth it in 2026?”, the answer draws from thousands of sources, weighted in ways nobody fully understands. The AI might cite Bureau of Labor Statistics data, Reddit threads, think-tank reports, and random blog posts with equal authority. Your $50 million business school building and your 98% placement rate might not even register.
This creates a paradox that should keep every provost up at night: the institutions doing the most interesting, innovative work in education may be the least visible in AI-generated recommendations, simply because they haven’t figured out how to make their work legible to language models. Meanwhile, schools with aggressive content strategies and large digital footprints might get mentioned constantly, regardless of actual educational quality.
The Deeper Problem
But here’s what really concerns me. The rise of the invisible admissions office is just one symptom of a much larger transformation: AI companies are increasingly setting the terms of engagement for higher education, and universities are mostly playing defense.
A New York Times opinion piece this week put it bluntly: “A.I. companies are eating higher education.” The author, a university leader, describes how Anthropic charges exorbitant fees for enterprise accounts while simultaneously paying student “campus ambassadors” to promote its tools. Other companies offer cash bonuses when students hit marketing targets. Venture capital firms celebrate students who build AI tools designed to cheat through job interviews.
This is not a partnership. It’s a colonization.
Universities are being asked to simultaneously adopt AI tools, teach students to use them responsibly, protect student data from the companies providing those tools, and compete for students whose decision-making is increasingly mediated by those same companies’ products. The conflicts of interest are staggering, and the power asymmetry is growing.
What Comes Next
I don’t think the answer is resistance. AI tools aren’t going away, and students are going to use them regardless of what any dean or department chair prefers. But I do think universities need to get much more serious about three things.
First, own your narrative in AI-readable formats. This means structured data, clear program descriptions, and public-facing content that language models can actually parse and surface. Treat AI visibility as infrastructure, not marketing.
Second, negotiate from strength, not desperation. Stop treating AI company partnerships as prestige plays. Demand transparency about how student data is used. Set clear boundaries. If a company wants access to your campus, make them earn it.
Third, teach students to interrogate the tools they’re using to make life decisions. If a high school student asks ChatGPT where to go to college and takes the answer at face value, that’s a critical thinking failure. And critical thinking is supposed to be what we’re selling.
The invisible admissions office is already open for business. The question is whether universities will learn to operate in this new reality, or whether they’ll keep pouring money into brochures that nobody under 25 is reading.
Dr. Andrew Perkins is the author of After the Grind: Rethinking Your Business Career in the Age of Artificial Intelligence and Robotics and Chair of the Department of Marketing and International Business at Washington State University’s Carson College of Business.
Get essays like this in your inbox
New essays on AI, education, and the future of work. No spam, unsubscribe anytime.