The Next Enrollment Challenge Starts Outside Your Funnel: How AI is reshaping student discovery, consideration, and enrollment

Your school can lose a student before your CRM knows she exists.

AI is changing how prospective students research programs, compare schools, and narrow their choices. For enrollment leaders, the challenge is earning consideration from learners who may never enter your funnel.

Jen is 26 and works doubles 5 nights a week at Applebee's. She's wanted to attend cosmetology school for years. One night, her manager cut her best section, and at 2 a.m. she started searching on her phone. By 3 a.m., she'd filled out forms at 3 schools.

One texted her back in a minute. Another called the next afternoon. The third sent a generic email 2 weeks later. Two days after that bad shift, her manager apologized. The urgency was gone.

Jen is real. The owner of 4 cosmetology schools described her to me earlier this year. Her story captures the challenge of adult recruitment: motivation can build for years, but the decision to act can happen overnight.

All 3 schools knew Jen was interested. They had her contact information and a chance to respond.

That opportunity is changing.

By the time you meet Marc, he's already decided

Fast forward to 2036.

Marc is 41, runs operations for a distribution company, and has missed another promotion. His AI agent noticed 18 months ago that nearly every job he wanted required data skills he lacked. Since then, the agent has been researching programs against Marc's priorities: cost, time to completion, schedule, career outcomes, and employer recognition.

When Marc decides he's ready, his agent prepares 3 applications. Marc approves them from his phone and enrolls with the first school to admit him. The institutions eliminated during those 18 months of research never knew he was considering them.

Jen's experience represents recruitment today, when institutions can respond to an inquiry before a decision is made. Marc represents a possible future where the first contact is an application.

While Marc’s story is hypothetical. The technology behind it is already taking shape.

I gave an AI agent $3,000 and a career problem

I tested an early version of Marc's experience using EduInsights, a free research agent developed by Ardis Kadiu.

I gave the agent Marc's career goals. It asked for his location and budget. I said Phoenix and $3,000. About 4 minutes and 25 sources later, it recommended 2 programs.

It ranked one higher because the school published its price, which fit Marc's budget. For the other, it couldn't verify the cost or schedule.

Then it recommended that Marc talk to his manager, even providing the question to ask, because public information couldn't establish whether his employer would value the credential.

Neither school knew it was being evaluated. The program that came out on top had a surprisingly simple advantage: its website listed the price.

The invisible applicant is already here

Pew Research Center studied nearly 69,000 Google searches and found that users clicked a traditional search result 8% of the time when an AI summary appeared, compared with 15% without one.

Adult learners are changing their behavior, too.

Manaferra's forthcoming State of College Search 2026: The Adult Learner Report found that 37% of adults now start their program search with AI. The share beginning on Google fell from 73% to 62% in a single year.

And AI is influencing which schools survive the comparison. Among adults who used AI to compare programs, 77% removed at least one institution based on what AI told them. Another 62% said they would think less of a school missing from AI results.

Meanwhile, EducationDynamics found that stealth applicants, students whose first contact with an institution is an application, have grown from 1% of applications in 2020 to nearly 10% in its more recent research. The same research found that 72% of adult learners enrolled at the first school to admit them.

Prospective students are making consequential decisions before identifying themselves, and many move quickly once they're ready to enroll. Your dashboard captures the inquiry or application. Much of the decision-making that precedes it happens outside your view.

How do you recruit someone you can't see?

Enrollment teams need to earn consideration earlier, make their programs easier for AI to evaluate, and respond immediately when students are ready.

Here's where I'd focus.

Step 1: Earn the recommendation

AI draws information from your website and from what others publish about your institution.

Manaferra's AI Index runs more than 200,000 student-style prompts monthly. Among top-performing institutions, roughly 3 in 10 citations come from the school's website. External sources, including rankings, directories, and online communities, supply much of the rest.

The University of Kansas School of Business acted when its programs weren't appearing in relevant AI answers. Working with Everspring, KU collected questions from admissions counselors, chat transcripts, emails, and student forums. The team used them to rewrite program pages around what prospective students actually wanted to know.

Everspring reports that KU subsequently achieved 8 times greater AI search visibility and a 291% increase in applications attributed to AI platforms.

Start with 25 questions. Ask your admissions team what prospective students want to know. Run those questions through ChatGPT, Gemini, and Claude. Record which institutions appear and which sources the answers cite. Correct outdated listings, strengthen your program content, and work with employer partners to document your programs' value.

Then test whether AI agents can actually use your website. Nick DeNardis, who leads digital experience at Wayne State University, described a revealing scenario on Higher Ed Pulse: an AI agent attempts to book a campus tour, the school's security system blocks it as a bot, and the agent moves on to another institution. The first school never knows it lost the visit.

Ask your web team which AI search crawlers your site allows. And run your own program through a research agent to see what information it finds and what it struggles to verify.

Step 2: Build consideration before intent

Brand influences which institutions students already know and trust. It also contributes to the reputation and third-party information AI encounters.

Manaferra found that 76% of undergraduate students begin their search with schools already in mind. That's a reminder of why brand investment matters, especially as more prospective students make decisions before becoming identifiable leads.

Chico State offers a useful example. After nearly 5 years of enrollment decline, the university invested in a brand campaign across TV, audio, billboards, and social media. SimpsonScarborough measured awareness before and after launch. Between fall 2023 and spring 2024, familiarity with Chico State increased 20 percentage points, from 54% to 74%. More students identified Chico as their first choice, and the university has since reported 2 consecutive years of enrollment growth.

Report consideration alongside leads. Track brand familiarity, direct traffic, branded search, and AI visibility. Manaferra's AI Index offers a free starting point for the latter.

When your CFO asks what brand delivered, bring evidence of how many prospective students know your institution, would consider it, and encounter it in AI recommendations. The lead count alone gives you an incomplete picture.

Step 3: Make the facts impossible to miss

Adult learners want practical answers about price, schedule, time to completion, and career outcomes. AI needs those same facts to evaluate programs.

Manaferra found that 66% of adults who used AI asked about tuition and financial aid, up from 37% a year earlier. Among adults who encountered conflicting information, 15% stopped considering the school entirely.

Remember Marc's agent? It preferred the program with a published price.

Nick DeNardis told me on the podcast that Wayne State's university bulletin has become the top entry point for AI assistants visiting its website. Each program page includes detailed requirements, advisors, and next steps. His team rarely directed human visitors there, but the depth of information makes it useful to agents.

Give every program one authoritative source of information.

That page should include total cost, weekly time commitment, start dates, credentials, career outcomes, and a person to contact. Assign someone to audit critical details monthly across your website, directories, and AI answers. Outdated program pages and conflicting tuition information create avoidable reasons for a prospective student, or their agent, to move on.

Step 4: Make human help immediate

Remember Jen's 3 a.m. inquiry? UPCEA sent 1,000 secret-shopper inquiries to continuing and professional education programs. An astonishing 44% received no response.

Thompson Career College in Ontario addressed that problem by automating its initial admissions response. Previously, prospective students waited 1 to 2 business days. With automation, they received a response in under a minute and a link to book a conversation with an admissions representative. According to Builts, which developed the system, booked admissions calls tripled in 90 days with the same inquiry volume and no additional staff.

Speed matters. So does knowing when a student needs a person.

Marc's agent could compare programs and verify prices. It still needed human input to evaluate whether an employer would respect a credential. Your enrollment experience should account for both.

Automate routine responses and connect students to people when decisions get complicated.

Let AI confirm an inquiry, share start dates, or provide a cost estimate. Give your admissions team time to work through transfer-credit questions, financial aid challenges, and scheduling conflicts.

The cosmetology school owner who told me about Jen wants a 24/7 admissions assistant working with prospective students so his staff can spend more time on conversations that require their expertise.

Start with one program

Pick a program with strong demand and give yourself 30 days. See how AI describes it. Check whether the price, schedule, and outcomes are easy to verify. Submit an inquiry after business hours and measure how quickly someone responds.

Use what you learn to improve the next program.

Picture Marc in 2036 choosing your school. His agent finds a program that fits his goals, verifies the information, and helps him take the next step. When Marc needs advice about balancing classes with work, someone from your team helps him figure it out.

Your institution earned consideration before receiving an application.

And Jen? She's out there tonight, finishing another double. Sometime this week, she'll fill out a form at 3 a.m., and somebody will answer her first.

Make it you.

If you test one of your programs with an AI agent, send me what comes back. I want to see it.