AI search in higher education lets prospective students ask ChatGPT, Google AI Overviews, and other tools to research and compare programs before visiting a college website. These answers depend on available evidence. Colleges that clearly publish cost, format, duration, outcomes, accreditation, admission requirements, and student fit give AI systems more useful facts that can lead to enrollment.
This article will reveal what you need to do to optimize AI search for a higher education environment.
How Students Use ChatGPT and AI Search to Research Colleges
How many prospective students use AI to choose a college? The answer depends on which students are surveyed, but three studies show that AI is already a strong part of the research process.
In EAB’s February 2026 report on more than 5,000 high school students surveyed in October and November 2025, 46% reported using AI tools such as ChatGPT during their college search, up from 26% in spring 2025.
Manaferra’s 2025 State of College Search study of more than 1,500 recently enrolled undergraduate, graduate, and adult learners found that 36% had used AI search to ask about colleges; among AI-tool users, ChatGPT was the most-used tool at 73%.
UPCEA’s 2025 study of 760 adults ages 18–60 interested in further education found that 50% used AI tools at least weekly. This measures general AI use among prospective adult learners, not the share using AI specifically to select a college.
In Manaferra’s study, 62% cited speed and 45% cited personalized answers as reasons for using AI search. AI was especially influential during discovery and shortlisting, rather than only at the final application decision. That helps explain how students use AI to choose colleges: they narrow a crowded field into a manageable set of options.
What Students Ask AI When They Compare Programs
What do students ask ChatGPT about colleges? They ask practical questions that reveal what students look for in a college, often combining several criteria in one request. Manaferra found that 49% asked about program-specific information and admissions requirements, while 45% asked about rankings.
Illustrative student prompts include:
- Program details: “Which nursing programs accept transfer credits and what prerequisites do they require?”
- Rankings and shortlists: “Compare colleges with strong accounting programs in the Midwest.”
- Cost and aid: “What is the cheapest accredited online MBA after available financial aid?”
- Fit and format: “Which online MBA works best if I work full time?”
- Outcomes and direction: “What should I major in if I want to work in healthcare technology?”
These are examples, not verbatim survey responses. They show why broad claims about academic excellence rarely answer the question being asked. To compare colleges, students need information they can put side by side: price, eligibility, schedule, completion time, and career possibilities.
Why Your Website Still Matters When AI Answers First
If AI provides an answer before a click, the college website still matters both as a source of program facts and as a place where students verify them. UPCEA found that 77% of surveyed adults rated university websites extremely or very trustworthy, and 82% were more likely to consider programs appearing on page one of search results.
Traditional search visibility therefore remains important. A program page can support both search discovery and AI-generated summaries when it offers reliable, specific answers. For more information, see Straight North’s article on how traditional SEO relates to AI citations.
How AI Builds a Program Comparison, and Why Programs Drop Out
How does ChatGPT decide which programs to compare? There is no universal, published selection formula across AI platforms. However, a useful way to understand AI-assisted college comparison is to follow four common information tasks.
- Identify the comparison criteria. A question about the best nursing program for a working parent implies cost, class schedule, clinical requirements, location, completion time, and likely outcomes. Different student prompts create different shortlists.
- Find usable evidence. Depending on the product and query, an AI tool may draw on learned information, retrieved web pages, and cited sources. A sentence that directly states a program’s evening schedule is easier to use than a vague promise of flexibility.
- Fill gaps or omit uncertain options. If the college does not state its tuition, program length, or delivery format, the answer may rely on directories, rankings, reviews, or forum discussions. Sometimes a program cannot be compared confidently and receives little attention.
- Reconcile conflicting claims. If a directory describes a program as campus-only while the institution says it is online, the resulting answer may be incomplete, misleading, or hesitant. Consistent information across the web reduces that risk without guaranteeing inclusion.
“Cost, format, duration, outcomes, accreditation, admissions requirements, and who the program is designed for should not require detective work,” says Nick Fatigato, a Straight North SEO & GEO Strategist. A student should not need to assemble a basic program profile from scattered departmental pages, downloadable catalogs, and unrelated listings.
“Cost, format, duration, outcomes, accreditation, admissions requirements, and who the program is designed for should not require detective work.”
The consequences can reach the shortlist. EAB reported that 18% of surveyed high school students had removed a college from consideration based on information in AI-generated search results. Manaferra found that 36% of its respondents were less likely to consider a college absent from AI results. These are distinct measures from different populations, but both underline the importance of accurate representation.
“Think of your website as your résumé and third-party mentions as your references. You want both telling the same story,” says Nick Fatigato. Institutional pages should be the authoritative starting point, while external profiles should corroborate rather than contradict them.
“Think of your website as your résumé and third-party mentions as your references. You want both telling the same story.”
A program is not necessarily compared on its strongest qualities. It is compared on the evidence an AI system can find and interpret. Missing facts leave room for someone else to define the program.
What a Program Page Must Publish to Be Compared
A program page should answer the questions a student would type into AI search, using plain, self-contained statements. The goal is not simply to list categories. It is to make each relevant fact usable without requiring a reader or an AI tool to connect several pages.
Build the page backward from student questions. This practical matrix connects seven common comparison points to information colleges can publish directly on program pages.
Comparison point | Student question | What the page should state | Common miss |
Total cost and aid | “What will I pay?” | Tuition year, fees, typical total cost, and available aid or net-price guidance. | Only a per-credit sticker price. |
Format and schedule | “Can I study while working?” | Online, hybrid, or in-person delivery; evenings; campus visits; expected weekly commitment. | “Flexible” with no specifics. |
Length and starts | “How quickly can I finish?” | Typical completion time, credit load, start terms, and part-time options. | A credit total without a timeline. |
Outcomes | “Where could this lead?” | Typical roles and appropriately sourced placement or licensure results, labeled by cohort year. | Unqualified success claims. |
Accreditation | “Is it accredited?” | Institutional and programmatic accreditor names, where applicable. | An unexplained accreditation logo. |
Admissions | “Am I eligible?” | Prerequisites, tests or waivers, transfer policies, deadlines, and application steps. | Requirements buried in a catalog. |
Student fit | “Is this for someone like me?” | Who the program serves, prior experience expected, and relevant career goals. | Generic “for everyone” messaging. |
Use exact, approved program details rather than illustrative claims when publishing. For example, “The part-time online MBA typically takes 24 months and offers evening live sessions” is more informative than “Our MBA is designed for busy professionals.”
“The most practical step is to answer important student questions clearly, directly, and in a format AI systems can easily interpret,” says Nick Fatigato. Place core answers on the program page itself, even when a catalog or PDF provides additional detail. Date tuition figures, identify the cohort behind outcome statistics, and update details when policies change.
“The most practical step is to answer important student questions clearly, directly, and in a format AI systems can easily interpret.”
“As the cost of a traditional four-year degree rises, students are comparing colleges with trade schools, community colleges, certificate programs, and other career-focused paths,” says David Duerr, Straight North CEO. “That changes the marketing challenge: SEO, GEO, paid search, and paid social all need to communicate not just what a program offers, but why the time, cost, and expected outcome make it worth choosing over very different alternatives.”
“As the cost of a traditional four-year degree rises, students are comparing colleges with trade schools, community colleges, certificate programs, and other career-focused paths. That changes the marketing challenge: SEO, GEO, paid search, and paid social all need to communicate not just what a program offers, but why the time, cost, and expected outcome make it worth choosing over very different alternatives.”
Technical details such as indexing, structured data, and crawler access also matter, but they are separate from the editorial task: make the program understandable and worth comparing.
Why Isn’t Our Program in AI Overviews?
Why might a program be missing from Google AI Overviews or ChatGPT answers? There is rarely a single explanation, and absence from one answer does not prove a technical problem. Start with these checks:
- Search visibility: Does the program rank for relevant program-name and category searches? Strong foundational SEO helps people and retrieval systems discover it.
- Scattered facts: Are tuition, requirements, and schedules locked in PDFs, collapsed sections, or disconnected catalog pages?
- Conflicting sources: Do directories and third-party profiles show outdated formats, prices, or program names?
- Wrong language: Does the page emphasize departmental priorities while leaving student comparison questions unanswered?
- Technical access: Is the page indexable and accessible to the relevant crawlers, subject to each platform’s controls?
Correcting these issues can improve clarity and discoverability, but no change guarantees citation in an AI Overview.
Build a Student Prompt Panel to See What AI Says About Your Programs
A college can audit AI search with a fixed panel of 15–25 realistic student prompts. Divide prompts among first-year, transfer, adult, and graduate audiences, and cover discovery, comparison, fit, and verification. Keep the wording stable so changes over time are easier to interpret.
Stage | Illustrative prompt | Record |
Discover | “Best affordable nursing programs near Chicago” | Whether the college appears and which alternatives appear. |
Compare | “Program A vs. Program B for working adults” | Which program facts and tradeoffs the answer uses. |
Verify | “Is Program A accredited, and what does it cost after aid?” | Accuracy, dates, and cited sources. |
Fit | “Which online MBA is best if I work full time?” | Schedule claims, audience fit, and competitors. |
Run the same panel monthly in ChatGPT, Google AI Overviews or AI Mode, Gemini, and Perplexity, where the prompt is supported. Capture the date, prompt, platform, whether the institution appears, accuracy of cost and format details, cited sources, and competitors mentioned. Repeat a subset of tests to distinguish patterns from normal answer variability.
“You should pay very little, because the same information that we get from asking a very small collection of prompts is just as meaningful to us as asking every single prompt,” says Tom Lustina, Straight North’s Director of SEO & GEO. A small, disciplined sample can reveal recurring errors without pretending to measure every possible student question.
“You should pay very little, because the same information that we get from asking a very small collection of prompts is just as meaningful to us as asking every single prompt.”
Straight North’s September 2026 survey of B2B marketers found that 68% had identified prompts they wanted to appear for, but only 46% actively tracked those prompts. Those figures describe marketers, not higher education institutions; the operational lesson is to pair prompt selection with recurring review.
Turn the results into a fix list. If AI quotes an old tuition figure from a directory, update the institutional page and request a directory correction. If it cannot identify a part-time option, add a direct sentence to the program page. Evaluate inclusion and factual accuracy together: being mentioned with the wrong deadline can be worse than being overlooked.
Connect AI Search to Inquiries, Not Just Mentions
Does appearing in AI answers produce more college inquiries? Inclusion alone cannot establish that. Where referral information is available, follow visits from AI platforms through request-information submissions, campus tours, and applications. Also review branded search, direct visits, and assisted conversions without attributing every later action to AI.
Straight North’s September 2026 survey found that 74 of 101 B2B marketers (73%) had heard from a customer or prospect who used an AI platform to research their company. This is not a college-enrollment statistic, but it reinforces the value of asking prospects how they researched their options.
Start with the five highest-priority program pages, run the prompt panel monthly, and report AI-related college inquiry activity alongside traditional enrollment measures.
FAQs
How do adult learners use AI differently from high school students? UPCEA found frequent general AI use among prospective adult learners, while EAB documented rapid growth in AI-assisted college search among high school students. Because the studies ask different questions, their percentages should not be treated as a direct age-group comparison.
Is AI search replacing Google for college research? No. Students can use AI, conventional search results, and university websites in the same journey. The continued trust placed in institutional websites makes a strong website essential.
How often should we check AI answers about our programs? Run the same prompt panel monthly, and retest after changes to tuition, accreditation, delivery format, admissions requirements, or deadlines.
What is the difference between SEO, AEO, and GEO for colleges? SEO improves search visibility; Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) focus on making content useful in answer experiences. They share a foundation of accessible, accurate, relevant information. Learn more:
How else can higher education use AI? Institutions may use AI to support teaching, advising, and admissions workflows with appropriate oversight. This article focuses on the separate question of how prospective students encounter programs through AI-powered search.
Need Help?
Want your programs to be easier to find and compare? Contact Straight North about higher education SEO and AI search.
