Artificial intelligence is rapidly reshaping how prospective students search for colleges—and how institutions must respond. New data from EducationDynamics and EAB suggest that AI-driven tools, zero-click search behavior, and compressed decision timelines are altering the enrollment landscape in ways that leave little room for delay or incremental change.
EducationDynamics’ 2026 “Marketing and Enrollment Management Benchmarks” report argues that higher education recruitment has reached a “point of no return.” It found that 78% of education-related Google searches now surface AI Overviews—AI-generated summaries that often answer questions before users click through to an institution’s website. At the same time, nearly 45% of Google searches end without a click, signaling a decisive shift from traffic-based strategies to visibility within AI-generated responses.
The report frames this moment as structural rather than cyclical. “The greatest threat to enrollment growth isn’t the demographic cliff; it’s cultural paralysis. We can’t build a future-ready institution with a wait-and-see mindset,” said Brent Ramdin, CEO of EducationDynamics. His comments reflect a broader warning that institutions relying on legacy recruitment tactics risk losing ground as students increasingly conduct much of their research independently.
One of the most consequential changes is the rise of the so-called “stealth applicant.” These students do not submit inquiry forms, attend campus tours, or engage with admissions counselors before applying. Instead, they rely on AI tools, search engines, and third-party platforms to compare programs, evaluate outcomes, and narrow options on their own. EducationDynamics reports that stealth applicants now account for 9.7% of total applications in 2025, up from just 1% in 2020.
Enrollment timelines are also accelerating. The report notes that 55% of learners move from consideration to inquiry in under three weeks, and 72% enroll at the first institution that admits them. In this compressed environment, delays in follow-up or unclear digital information can directly affect yield.
Greg Clayton, president of enrollment management services at EducationDynamics, emphasized the disparity he sees among some institutional leaders. “We see a dangerous disconnect within higher education leadership. While institutions view AI through the lens of cost savings, the modern learner is already living in an AI-native world,” he said.
The shift toward AI-mediated research is forcing colleges to reconsider what visibility means. Traditional search engine optimization aimed at driving clicks may no longer be sufficient. The benchmarks introduce concepts such as Generative Engine Optimization and Answer Engine Optimization—strategies designed to ensure that institutional content is structured so it can be cited accurately in AI-generated responses. They also propose AI density as a new performance metric, measuring how often an institution appears as a cited source within AI ecosystems.
At the same time, student trust in AI remains uneven. Findings from EAB’s 2025 “Student Communication Preferences Survey” indicate that 26% of students have used an AI-based chatbot—such as ChatGPT or a chatbot on a college’s website—during their search process. While that figure represents a substantial minority, AI chatbots ranked lowest among the information sources surveyed in terms of trust. Only 11% of students said they read AI-generated results when conducting online research about colleges, with most preferring to click through to a specific institution’s website or another known platform.
Digital engagement remains high overall. Eighty-eight percent of students report checking email at least daily, and 85% monitor social media at least daily.
EAB also found that 59% of college-bound high school seniors are exploring potential colleges on Appily.com. Notably, the organization observed a 377% increase in visitors to Appily.com from large language models such as ChatGPT between January and March 2025 compared to the same period the previous year. Although the absolute numbers remain relatively small, the growth trajectory suggests that AI tools are increasingly acting as gateways to more traditional, trusted destinations.
For enrollment leaders, the implications are operational as well as strategic. EducationDynamics warns against treating AI as a standalone add-on—such as a single chatbot layered onto an otherwise unchanged process. Instead, it urges institutions to integrate AI into core marketing, attribution, and enrollment workflows, using it to identify high-intent students earlier and reduce friction across the funnel.
The broader message is that inquiry volume alone no longer signals future success. In a market where students can compare programs, confirm requirements, and evaluate return on investment through AI-enhanced searches, institutions must prioritize clarity, speed, and credibility. Brand authority—defined by accurate data, transparent outcomes, and consistent messaging—becomes essential not just for ranking in search results, but for being cited as a trusted answer.
As AI continues to mediate discovery and decision-making, higher education faces a dual challenge: maintaining trust while adapting to tools that reshape how that trust is earned. Institutions that align marketing, technology, and enrollment operations around these new behaviors may be better positioned to compete in an increasingly AI-driven marketplace.
