Admissions and enrollment today is like a horse race.
If your horse doesn’t get to the starting gate, it doesn’t matter how fast it is. If it isn’t on the track, it cannot run, much less win.
In the age of AI, the higher education admissions process works the same way. The competition doesn’t start when a prospective student requests information or visits your campus. It starts with the consideration set. You have to be on it before you can compete. AI tools, online research, rankings, reviews, and digital signals shape that list long before your admissions team knows a student is considering your institution.
Many colleges and universities are cut from consideration before they know the field has been set. If you do not optimize your institution’s visibility for AI-driven student research, you may never make it into the conversation.
Higher education is facing a fundamental shift—and it’s putting your institution under pressure.
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The starting gate has moved.
It is a mistake to assume you start competing when a prospective student first fills out an inquiry form or schedules a campus visit. In an AI-driven marketplace, the process starts much earlier—before you know a student is exploring options and before it is even possible to identify them as a prospect. The starting gate has moved upstream.
Students and families increasingly use AI to explore schools, compare programs, evaluate outcomes, and narrow their choices. Consider how prospective students now begin their search. Instead of spending hours comparing dozens of websites, they increasingly ask AI questions such as:
- What are the best universities for cybersecurity in the Mid-Atlantic?
- Which colleges offer strong outcomes for first-generation students?
- What are the best-value MBA programs for working professionals?
- Which universities are known for undergraduate research opportunities?
AI systems respond by creating an instant consideration set. The institutions that appear in those recommendations earn further investigation. The institutions that do not may never be evaluated at all.
By the time many institutions realize they are being considered, the student already has their consideration set. Students often arrive with a preliminary evaluation of every institution on that list and a working judgment about which schools best fit their goals. Their decision is all but made.
Traditional marketing falls short, leading to invisibility.
Most colleges and universities are not prepared for this new dynamic. They still rely heavily on traditional enrollment marketing approaches. They focus on branding campaigns, websites, PDF brochures and viewbooks, rankings, and recruitment events. These efforts were designed for a different student journey that rarely takes place today.
Traditional enrollment marketing does not directly influence whether AI systems include your institution in a student’s initial set of options. It does not account for the new decision-making unit: a student working alongside AI. It does not account for how AI discovers, evaluates, summarizes, and recommends institutions.
Traditional enrollment metrics such as inquiries, applications, and conversion rates may miss the most important question: How often does your institution appear on the shortlist?
Without rethinking admissions marketing for the AI era, your institution becomes invisible to prospective students—and prospective students become invisible to you.
How the race is run now.
Earning a place in the decision set requires understanding the new buyer unit of student + AI, the new stages of the admissions journey, the content AI relies on, and the signals that influence its recommendations.
The key to modern admissions marketing requires excelling at two jobs:
- Validate to an AI system that your institution belongs in the decision set
- Persuade a prospective student and family that your institution is the best choice among the schools being considered
To stay competitive, institutions need to make a fundamental shift. Branding, storytelling, campus experiences, and admissions outreach still matter, but they can no longer do the job alone.
Universities must also become visible to AI systems and selectable within AI-generated recommendations.
This article is the first in a series exploring how AI is changing the student search process, what it means for enrollment marketing, and the practical steps colleges and universities can take to earn a place on the shortlist—and ultimately win enrollment decisions.
While worrying about falling behind is natural, it’s just as vital to look at new opportunities.
If you are responsible for enrollment, revenue, or long-term strategy, download this report:
We achieve real world success that goes far beyond incremental improvements:
How Rutgers University-Newark moved marketing beyond ‘apply here’
“In the first year of the campaign in 2024, we enrolled the largest incoming class in the university’s history.”
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