His appointment reflects his leadership in higher education digital marketing and Search Influence’s longstanding collaboration with UPCEA, the leading association for online and professional education.
Serving on the UPCEA Board
UPCEA elected new officers and directors in November, with appointments taking effect at the conclusion of the 2026 UPCEA Annual Conference in New Orleans on April 17, 2026. As Corporate Partner Representative, Will will serve as a liaison between corporate partners and institutional members, contributing insight from the evolving landscape of higher education digital marketing.
UPCEA leadership emphasized the importance of strategic, forward-thinking expertise during a pivotal moment for online and continuing education. As institutions adapt to AI-driven search behavior, enrollment shifts, and increased competition, the role of data-informed digital marketing has never been more essential.
About Will Scott, AI SEO Expert
Will Scott is a recognized leader in digital marketing and is credited with coining the phrase “barnacle SEO” in 2008. A founding faculty member of Local U, Will frequently presents at national conferences and contributes to major online marketing publications. With a Master of Architecture from Tulane University, he approaches marketing as a systems problem, solving for visibility, measurement, and long-term impact.
Since launching his first website in 1994, Will has overseen teams that have developed thousands of websites, produced hundreds of thousands of directory pages, and generated millions of visits through search.
Strengthening the Search Influence + UPCEA Partnership
Will’s appointment to the UPCEA Board of Directors reflects more than an individual milestone. It represents the continued alignment between Search Influence and UPCEA’s shared commitment to research-driven innovation in higher education digital marketing.
As a Platinum Partner of UPCEA, Search Influence has worked alongside the association to produce actionable, industry-leading research that helps institutions adapt to shifting search behaviors and evolving enrollment strategies. Together, we have collaborated on three major national studies:
2023 SEO Readiness Research Study, which benchmarked how prepared colleges and universities are for the demands of modern search visibility.
Through conference sessions, webinars, and ongoing thought leadership, the UPCEA x Search Influence partnership delivers practical frameworks for institutions looking to strengthen their visibility, improve ROI, and future-proof their higher education digital marketing strategies.
Learn More About Higher Education Digital Marketing
Will’s appointment reflects the deep alignment between Search Influence and UPCEA’s mission to expand educational access and outcomes.
To learn more about our partnership or to discuss how your institution can strengthen its higher education digital marketing strategy, contact Search Influence today.
AI search is changing how prospective students discover programs. But building an entirely new marketing strategy from scratch isn’t realistic for most higher education teams.
Budgets are tight, staff capacity is limited, and priorities compete for attention.
That’s why we partnered with UPCEA for this spring’s live webinar:
Make Your Existing Marketing Work Harder for AI Search Visibility Tuesday, March 24
12 PM ET | 11 AM CT
Your presenters:
Paula French, Director of Sales and Marketing, Search Influence
Why AI Search Visibility Matters for Higher Education
AI-powered search tools are shaping discovery, oftentimes before a prospective student ever clicks your website. Platforms powered by LLMs evaluate your site, paid campaigns, PR coverage, and social media to determine what information to surface.
When those channels operate in silos, AI tools may pull incomplete or inconsistent details. In some cases, your programs may not appear at all.
For higher education marketers, the opportunity isn’t to rebuild everything. It’s to unify what already exists. When messaging aligns across channels, institutions increase relevance, strengthen credibility, and improve their presence in AI-driven results.
What You’ll Learn in the Webinar
This session is built for teams who want practical guidance they can apply immediately.
In this live webinar, we’ll break down how to:
Create a consistent, credible presence across the marketing channels AI evaluates
Leverage existing assets to improve higher education AI search visibility
Strengthen trust signals so AI tools surface accurate program information
Reduce gaps that limit discoverability in AI-powered search
After the webinar, join one of our small-group Strategy Labs:
Tuesday, March 31 Wednesday, April 1 12 PM ET | 11 AM CT
Led by Will and Paula, these interactive sessions offer hands-on coaching. Bring your questions about specific programs, campaigns, or content gaps. We’ll workshop actionable recommendations to strengthen your AI search visibility and connect strategy to measurable outcomes.
The message is clear: ranking alone is no longer the finish line.
You now have to win twice — the ranking and the citation.
AI Is Already Influencing Early Trust
The AI Search Research Study surveyed 760 prospective adult learners to understand how AI tools influence program discovery and evaluation. The findings confirm what many marketers are beginning to see in their own analytics.
AI is no longer peripheral. It’s embedded in research behavior.
79% read Google’s AI Overviews when they appear
50% use AI tools at least weekly
56% are more likely to trust a brand cited by AI
Trust is forming earlier. Consideration is being shaped before traditional comparison begins.
Brands aren’t losing visibility because they slipped a few ranking positions. They’re losing it because they were never cited in the AI answer at all.
Discovery No Longer Happens in One Place
Search is now multi-surface.
Prospective students move fluidly between:
Traditional search engines
AI tools
YouTube
Brand-owned websites
Third-party publishers
What they see in an AI summary influences how they read a search result. A YouTube video can establish credibility before a website earns a click.
AI visibility is cumulative. It’s built anywhere your brand appears, not just on the pages you control.
If your strategy treats channels in isolation, your visibility will fragment in the same way.
Awareness Is High. Execution Is Lagging.
To understand the organizational side of the equation, a companion snap poll of 30 UPCEA member institutions examined how teams are adapting.
The most common barriers are familiar: limited bandwidth, competing priorities, and unclear ROI.
AI search may be on the roadmap, but it often lacks clear ownership, defined processes, and measurable accountability.
What Actually Gets Cited
In his article, Will outlines what separates content that ranks from content that gets cited.
AI systems favor optimized content that can be lifted cleanly and reused without interpretation. That typically means content that:
Leads with direct answers
Uses headings aligned to search intent
Separates ideas into self-contained sections
Includes comparison and decision-stage clarity
Higher education offers a useful lens here. Universities bring authority, depth, and long-standing brand recognition. Yet even established institutions are excluded from AI summaries when their content doesn’t match how users ask questions.
Authority alone does not guarantee inclusion.
Clarity increasingly determines visibility.
Where Things Stand
AI search hasn’t replaced SEO.
It has expanded the battlefield.
Discovery is happening earlier. Trust is assigned sooner. Visibility is often shaped before rankings ever come into play.
The brands that adapt now will shape how they’re represented.
The ones that wait may find themselves summarized by someone else.
Want to go deeper? Will Scott will expand on these findings in a Generative Engine Optimization Master Class with Search Engine Land on April 14, 2026. The online training covers AI visibility strategy, entity optimization, and measurement techniques for evolving search environments. View session details.
Student Search Behavior Is Changing, and Marketing Must Follow: Shifting demographics, alternative education pathways, and AI-driven search are changing how prospective students discover and evaluate institutions. Universities must align their strategies with search behavior that now spans AI tools, social platforms, and traditional search engines.
AI Search and Social Discovery Drive Visibility: AI Overviews and social search are redefining online visibility. Traditional SEO alone is no longer enough. Institutions need clear, authoritative content that performs across AI-powered and engagement-driven platforms.
Tracking the Right Metrics Is Essential: As clicks become less reliable signals, understanding cost per inquiry (CPI), cost per enrolled student, and channel performance is critical for optimizing budgets and improving enrollment outcomes.
Nearly 50% of prospective students now use AI tools at least weekly, and 79% say they read Google AI Overviews when researching academic programs.
Search behavior isn’t just changing. It’s fragmenting across search engines, social platforms, and AI-powered tools, forcing universities to rethink how they show up and stay visible.
As traditional student populations decline and digital marketing evolves, higher education institutions face growing pressure to adapt their recruitment strategies to meet prospective students where they actually search. From shifting discovery behaviors to the rise of alternative education pathways, academic leaders are navigating an increasingly complex and competitive landscape.
The biggest challenges in higher ed marketing today aren’t tied to a single channel or tactic. They require institutions to redefine how they connect with an audience that is more diverse, digitally savvy, and selective than ever before.
To better understand these shifts, Search Influence partnered with UPCEA to conduct AI Search in Higher Education: How Prospects Search in 2025, a national study of 760 adult learners exploring professional and academic programs. The research offers critical insight into how prospective students use search engines, social platforms, university websites, and AI tools throughout the decision-making process.
In this blog, we’ll break down the most pressing higher ed marketing challenges in 2026 and share practical, research-backed strategies to help your institution:
Strengthen student engagement
Refine its digital approach
Compete more effectively in a rapidly evolving search environment
Higher Ed Marketing Challenges
AI’s impact on behavior and the search landscape
The students of tomorrow are already using AI today. And for many, it’s now a routine part of how they search for and evaluate academic options.
Search Influence’s AI Search in Higher Education research found that 79% of prospective students read Google AI Overviews, and 56% are more likely to trust institutions cited by AI.
This shift is influencing the student journey well before application, shaping how prospects explore programs, compare institutions, and narrow their choices.
AI chatbots, search assistants, and generative search experiences are increasingly embedded in the consideration process, acting as filters between prospective students and institutional websites.
In many cases, students now get answers directly within search results without clicking through to a university website, a behavior known as zero-click search. AI Overviews frequently summarize program information, admissions details, and outcomes on the results page itself, especially for non-branded and early-stage research queries. This means visibility increasingly depends on being cited and trusted by AI systems, not just driving traffic to a landing page.
As AI becomes more integrated into everyday search behavior, students expect universities to provide clear, accessible information that AI systems can surface accurately, not just compelling messaging once they arrive on a website.
How to overcome this challenge
As AI reshapes how content is discovered and summarized, higher education marketers must refine their content strategies to support both human decision-making and AI-driven retrieval.
Universities will stand out by developing clear, in-depth, and well-structured content that AI systems can confidently reference and prospective students can trust. Research-backed program pages, detailed FAQs, and content that directly answers common search questions improve the likelihood of being surfaced in AI Overviews and other generative search experiences.
Targeting specific, intent-driven queries, such as program outcomes, career pathways, and admissions considerations, helps institutions remain visible across traditional search, AI-powered results, and emerging discovery channels.
Incorporating interactive elements such as webinars, virtual tours, and downloadable guides creates engagement opportunities that go beyond AI summaries, encouraging prospective students to take the next step once initial discovery happens elsewhere.
Institutions that adapt their content and SEO strategies with AI search in mind will be better positioned to maintain visibility, build trust, and connect with future students as search behavior continues to evolve.
Social search
Social search is redefining how prospective students discover and engage with universities, and it plays a dual role in modern visibility: how people search and how AI systems understand and trust brands.
Search Influence’s AI Search in Higher Education research shows that prospective students’ search behavior is increasingly diversified when researching programs:
84% use search engines
61% use YouTube
50% use AI tools
Social platforms sit squarely within this ecosystem. Prospective students now use platforms like TikTok, Instagram, YouTube, and LinkedIn as search engines in their own right, entering queries, scanning results, and comparing options through video, comments, and creator content.
Instead of typing formal queries and clicking ranked links, students search social platforms with intent-driven phrases, looking for campus tours, student perspectives, program outcomes, and day-to-day academic experiences. Discovery happens through scrolling, watching, and evaluating content in context, often before a university website ever enters the picture.
Unlike Google’s algorithm, which relies heavily on structured SEO signals, social search is driven by engagement. Visibility is determined by watch time, shares, comments, and interaction, making discovery harder to influence through traditional optimization alone.
This behavior matters beyond student engagement. AI-powered search engines increasingly pull context and authority signals from social platforms. Social content helps AI systems validate what an institution offers and which queries it should be connected to in generative search results.
Higher ed marketers must transform existing content into social-native, program-focused formats that support discovery and credibility. Simply having a website is no longer enough.
How to overcome this challenge
To succeed in social search, universities must treat social platforms as extensions of their search and content strategy, not just promotional channels.
Institutions should focus on creating educational social content, such as:
Instagram Reels or TikTok videos that clearly explain academic programs, career outcomes, or student experiences
Short-form student testimonial videos that speak directly to institutional value, flexibility, and real-world impact
YouTube videos that provide deeper program overviews, faculty insights, or recorded info sessions
LinkedIn articles that discuss industry trends, academic expertise, or workforce alignment related to your institution and target programs
By approaching social media as a strategic input into AI-driven search, higher ed marketers can improve discoverability, strengthen brand credibility, and support enrollment goals across an increasingly fragmented search landscape.
Tracking key metrics for performance
Tracking key metrics is essential for ensuring the success of higher education marketing efforts, yet many colleges and universities still struggle to measure the true impact of their campaigns.
This study highlights a critical issue: While most marketing teams can identify the source of inquiries, far fewer track the actual cost per inquiry (CPI) or cost per enrolled student — two essential metrics for assessing marketing efficiency.
In fact, while nearly 73% of marketing units track the source of inquiries for online and professional education programs, only 46% track CPI, and just 43% monitor the cost per enrolled student. Even more concerning, 17% do not track any of these key performance indicators at all.
Understanding CPI and cost per enrolled student provides significant benefits for colleges and universities looking to optimize their campus recruitment efforts.
Tracking these metrics allows marketing teams to assess whether they are generating an appropriate volume of prospects and determine if those inquiries are converting into actual enrollments. More importantly, it enables data-driven decision-making by showing where budget optimizations can improve efficiency.
For example, if one marketing channel consistently delivers high CPI but low conversion rates, adjustments can be made to targeting, messaging, or spend allocation to maximize future results. Tracking these metrics provides a foundation for deeper analysis, helping universities evaluate lead quality, conversion ratios, and the overall effectiveness of different marketing channels.
How to overcome this challenge
By prioritizing CPI and cost per enrolled student, higher education marketing teams can make informed adjustments to their strategies, ensuring that resources are directed toward the highest-performing channels. This approach improves campaign performance and allows institutions to better understand how their marketing investments drive student engagement.
Changing demographic and enrollment landscape in higher education
The higher education landscape is shifting dramatically, and the long-anticipated demographic cliff is here. As the number of “college-aged” students declines, institutions historically relying on traditional undergraduate enrollments must rethink their approach.
To stay competitive, higher education institutions must expand their focus beyond recent high school graduates and embrace a broader audience — adult learners, career changers, and professionals seeking skills-based education.
The move away from traditional education pathways
The traditional four-year degree is no longer the only, or even the preferred, pathway for many modern learners.
Rising tuition costs, evolving workforce demands, and a desire for flexibility are driving students toward microcredentials, online degrees, and non-credit-to-credit pathways that allow them to tailor their education to their career goals.
The workforce is evolving too quickly for rigid, 120-credit degree programs to keep up.
Instead, students are adopting a “mix-and-match” approach to learning, combining traditional coursework with certifications, industry-recognized credentials, and skill-based training. This shift is forcing schools and universities to adapt their higher education marketing and university marketing strategies to ensure they reach and engage today’s learners.
Prospective students are looking for technology-driven solutions that allow them to engage with coursework without sacrificing work, family, or other commitments. Institutions must emphasize the benefits of flexible learning options to attract more students.
This means adapting marketing communications to highlight the value of alternative education pathways, including non-credit programs that can stack into degrees, online learning that fits busy schedules, and credentials that provide immediate career impact.
How to overcome this challenge
For campuses to thrive in this new landscape, institutions need to evolve their messaging to focus on lead generation and long-term student engagement. Universities that successfully communicate the advantages of non-traditional education will attract more students and position themselves as forward-thinking leaders in an era where lifelong learning is essential.
The Importance of Upskilling Your Team With AI SEO
To overcome today’s higher ed marketing challenges, institutions must upskill their teams with a clear understanding of AI SEO.
AI SEO isn’t a passing trend or a niche tactic. It’s the new operating environment for search.
As AI-powered systems increasingly determine which content is surfaced, cited, and trusted, marketers need to understand how content is interpreted by people and machines.
New technology can feel intimidating, but adapting to AI SEO is no different than learning any other essential marketing tool. Working in marketing today without understanding AI SEO is like working at Office Depot without knowing how to use the Xerox machine. It’s simply part of the job now.
For many institutions, the fastest path forward is partnering with an AI SEO agency that recognizes how search is evolving and how higher ed audiences behave.
Contact Our Award-Winning Higher Ed Marketing Agency
From understanding AI’s impact on search and social discovery to navigating changing demographics and tracking the right performance metrics, higher education marketers are being asked to do more in an increasingly complex environment.
That’s where Search Influence comes in. We help colleges and universities adapt with research-backed strategies.
Of all these challenges, AI search may be the steepest climb. Search behavior is shifting faster than most institutions can track, and visibility now depends on how AI systems interpret, summarize, and trust your content.
Consider our AI Search in Higher Education research study the climbing gear you need. It offers practical insight to help you navigate this shift with clarity and confidence.
Half of prospective students now use AI search tools weekly to research programs. If your institution isn’t showing up in ChatGPT, Claude, Perplexity, or Google AI Overviews, you’re invisible to half your audience. In 2026, success is measured by AI citations and brand mentions within generative summaries, not just clicks. This guide covers what actually works for AI search visibility, based on testing, not theory. (Data source: UPCEA/Search Influence 2025 AI Search in Higher Education study)
The Shift in Student Search You Can’t Ignore
Half of prospective students now use AI-powered search tools at least weekly, and 79% read Google’s AI Overviews before clicking any result. That’s according to the 2025 AI Search in Higher Education study by UPCEA and Search Influence, which surveyed 760 adults actively researching programs.
Source: UPCEA/Search Influence AI Search in Higher Education Study, 2025
While your team optimizes for Google rankings, half of your prospective students are also asking ChatGPT:
“What are the best nursing programs near me?”
“Which universities have strong data science programs?”
“Should I go to [Your University] or [Competitor]?”
The uncomfortable truth: traditional SEO rankings don’t automatically translate to AI search results. Your brand is no longer just what you say about yourself, or even what others say about you. It’s what AI believes about you and shares with millions of prospective students.
I’ve been tracking this space since late 2022. Higher education institutions with strong Google rankings often get completely left out of AI-driven search results. While smaller schools with better-structured content show up consistently.
Traditional search engines still drive most organic traffic. That’s not changing soon. But AI search is a new channel growing fast, and it’s where a third of your prospective students are already researching. The catch: AI-generated search results often summarize information without requiring users to click through, which means even sites with strong search engine optimization can see declining traffic from AI-driven queries.
The universities that appear in AI-driven search results now will have a head start that the rest can’t easily catch up to.
What actually works?
How AI “Decides” What to Recommend
To make these SEO strategies work, you need to understand how these systems operate. It’s different from traditional search engines.
Large language models like ChatGPT, Claude, and Perplexity don’t crawl your site in real-time and rank web pages. They operate on different principles:
They draw from training data
Content that existed when the model was trained becomes part of its “knowledge.” This is why outdated information persists. The model learned it months or years ago.
They reference recent web crawls
Some models (like Perplexity and ChatGPT with browsing enabled) pull fresh content. But the freshness varies by platform and query type.
They cite authoritative sources
AI systems prefer content that appears to know what it’s talking about. They’re pattern-matching on what “good sources” look like — structure, depth, and credibility signals.
They match search intent, not just keywords
AI understands concepts and entities through natural language processing, not keyword matching. You don’t need “best MBA program for working professionals near Chicago” repeated verbatim. You need content that actually covers the topic in depth and with specificity. Traditional search engines match keywords; AI systems match user intent and search intent. This is why traditional keyword research alone isn’t enough anymore. You need to understand what prospective students actually want to know, not just what phrases they type.
They prioritize E-E-A-T signals
AI systems, like traditional search engines, favor content that demonstrates Expertise, Experience, Authoritativeness, and Trustworthiness. Faculty credentials, institutional accreditation, specific outcomes data, and cited sources all signal that your content is worth recommending. Generic marketing copy doesn’t cut it.
What this means for you:
Your content needs to be structured so AI can understand it, not just index it. With Google, you’re trying to rank. With AI, you’re trying to be the source that gets cited when AI generates its response. Different goal, different tactics.
SEO fundamentals still apply—but the emphasis shifts.
SEO fundamentals still apply. Sites that rank well in Google tend to get cited more by AI, but it’s not automatic. Backlinks from authoritative sites signal to search engines that your website is trustworthy and valuable, and AI systems pick up on these same credibility signals. You need to optimize for both traditional search and AI platforms.
One principle remains constant: creating exceptional, high-quality content is the best way to boost SEO performance and satisfy prospective students. Content should prioritize people over bots. If it genuinely helps your target audience, it will perform well with AI systems too.
When students ask about programs you offer, competitors show up, and you don’t. This is the most painful finding, but it’s the most actionable.
Missing differentiators
AI can describe your university in generic terms, but doesn’t mention what makes you unique. Your $50M new engineering building? Your unique co-op program? Your 95% nursing board pass rate? If AI doesn’t know about it, AI can’t recommend you for it.
Outdated information
Programs that no longer exist, old leadership names, incorrect tuition figures, former campus locations. AI models don’t always have up-to-date information, and even when they do, they may have ingested outdated pages from your site.
Generic descriptions
AI says you’re “a comprehensive university offering undergraduate and graduate programs in a variety of fields.” That’s true. It’s also useless. Nobody chooses a university based on that description.
Step 2: Create Content That AI Wants to Cite
AI systems prefer citing website content that appears authoritative and thorough. They’re trained on high-quality content, so they pattern-match on what those sources look like. Your content creation strategy needs to account for this.
Create content that answers the specific questions students ask during their research process. That means your content needs to:
Be structurally parseable
AI reads differently from humans. Clear heading hierarchies (H2, H3, H4) help AI understand the relationship between concepts. Dense paragraphs of text are harder to parse than structured lists.
Formats that work well:
FAQ sections that mirror natural language questions
Definition lists for key terms
Comparison tables
Bulleted lists with specific data points
Step-by-step numbered processes
Include specific, citable data
Vague claims get ignored. Specific data gets cited.
Include:
Enrollment numbers (total, by program, by format)
Graduation and retention rates
Employment outcomes (percentage employed, average salary, top employers)
Program rankings and accreditations
Tuition costs (total and per credit hour)
Financial aid statistics (percentage receiving aid, average package)
Student-to-faculty ratios
Research funding and grants
Answer the questions prospective students actually ask
Look at your website chat logs. Look at your admissions email inbox. Look at your campus visit Q&A sessions. What do prospective students actually want to know? This is better than any keyword research tool for identifying relevant keywords and topics.
Create structured content that directly answers those questions, and format it so AI can find and cite those answers.
Create multimedia content
Creating multimedia content (videos, infographics, virtual tours) enhances engagement and helps students envision themselves on campus. Video testimonials, program overviews, and campus walk-throughs give AI systems additional content to index. YouTube content especially matters; it’s owned by Google and feeds directly into AI training data.
Same content, restructured for AI visibility.
Step 3: Make Your Brand “Like Fluoride in the Water”
You want your brand to be so present across the web that AI just… knows you.
Think about Kleenex. Or Xerox. Or Google (as a verb). Nobody has to explain what these brands are. AI models have seen so many references across so many contexts that the brand is baked into their understanding.
Obviously, you can’t become Kleenex overnight. That takes decades. But you can systematically increase your brand’s presence in the sources AI learns from:
When journalists write about trends in nursing education, they quote someone. Why not your nursing dean? When publications list “top programs for X,” they source from somewhere. Why not your outcomes data?
Publish research that others cite
Original research gets cited. Surveys, studies, white papers, data analyses. Your institutional research office has data that would be valuable to others. Package it and publish it.
Maintain active, consistent social presence
AI models train on social media content. LinkedIn, Twitter/X, YouTube. Your consistent presence builds brand recognition in the training data. Video SEO matters here too; YouTube is owned by Google and feeds into AI training data. Optimizing content for YouTube (with strong titles, descriptions, and transcripts) improves visibility across both traditional search and AI platforms.
Show up in industry rankings and lists
Rankings aren’t just for prospective students. They’re for AI training data. When AI learns “best X programs,” it learns from published lists.
Create content that other institutions reference
Thought leadership content that other universities link to and cite. Best practices guides. Innovative program design. This creates a citation network that AI follows.
AI learns about your brand from everywhere—not just your website.
The goal isn’t any single mention. The goal is to be so present across the web that when AI thinks about your program area, your institution naturally comes to mind. Like fluoride in the water, invisible but everywhere.
Step 4: Don’t Neglect Local SEO for Regional Student Search
Local SEO is critical for attracting regional students, especially for institutions with multiple campus locations. For higher education institutions serving regional markets, local SEO directly impacts AI search results and recommendations.
When a prospective student asks, “What are the best nursing programs near me?” or uses voice search for “colleges in [city],” AI pulls from local signals. These natural language queries are increasingly common as generative AI tools encourage students to ask more conversational questions.
What to do:
Claim and optimize Google Business Profile for each campus location
Ensure NAP (name, address, phone) consistency across all web pages
Create location-specific content for each campus
Incorporate keywords naturally for regional search intent (“nursing program in [city],” “[state] MBA programs”)
Encourage and respond to Google reviews. They’re credibility signals for both traditional search engines and AI
Build citations in local directories and regional publications
Local SEO isn’t separate from AI SEO; it feeds it. AI systems learn about your regional presence from these same signals. Higher ed marketers often overlook local SEO because they’re focused on national rankings, but for most higher education institutions, regional search visibility is where enrollment actually happens.
Optimizing Academic Program Pages for AI-Driven Search Results
Program pages are where enrollment happens, or doesn’t. When a student asks ChatGPT, “What are the best MBA programs for working professionals?”, AI scans the web, evaluates sources, and generates an answer. Your program page either contains everything AI needs to recommend you, or it doesn’t. There’s no second impression.
Institutions should create dedicated landing pages for each academic program with detailed information. Most university program pages fail this test. They’re designed for humans who already know about the institution and are browsing to learn more. AI doesn’t browse. It extracts, evaluates, and cites, or moves on.
Students now expect instant, personalized answers to their questions during their college search. Your program pages need to deliver.
The Anatomy of an AI-Optimized Program Page
1. Clear Program Identity (Above the Fold)
Start with unambiguous program identification:
Exact degree name and type (BS, BA, MS, MBA, MEd, PhD, etc.)
Program format (on-campus, fully online, hybrid, evening/weekend)
Duration (credit hours required, typical time to completion)
Accreditation status and accrediting bodies
Department and college affiliation
Why this matters: AI needs to correctly categorize your program. If your page title says “Business Administration” but doesn’t specify MBA vs. undergraduate, AI may miscategorize you.
2. Outcomes Data (Make It Prominent)
Universities are often reluctant to publish employment data — worried about liability, or not confident in the numbers. But students make decisions based on outcomes, and AI cites specifics.
Include:
Employment rate within 6 months and 1 year of graduation
Average and median starting salary
Salary range (10th to 90th percentile)
Top employers hiring your graduates (named companies)
Job titles graduates hold
Career paths and advancement trajectories
Professional licensure/certification pass rates (nursing boards, CPA exam, bar exam, etc.)
Graduate school acceptance rates (for undergrad programs)
If you have strong outcomes, show them. If you don’t have this data, start collecting it.
3. Curriculum Overview (Structured for Scannability)
Don’t just link to a PDF catalog. Present curriculum information directly on the page:
Core/required courses with brief descriptions
Elective options and specialization tracks
Unique program features (capstone projects, internship requirements, study abroad, lab experiences)
Sample course sequence or suggested schedule
Total credit hours and breakdown by category
Format this as a table or structured list, not paragraphs.
4. Admission Requirements (Be Specific)
Prospective students ask AI-specific questions: “What GPA do I need for X program?” Make sure AI can find the answer on your page.
Test score requirements or policies (GRE, GMAT, test-optional status)
Prerequisite courses
Required application materials
Application deadlines (early, regular, rolling)
International student requirements
5. Cost and Financial Information (Don’t Hide It)
Tuition is one of the top questions students ask. AI will answer it. The question is whether AI gets the answer from your site or somewhere else.
Include:
Total program cost
Per-credit-hour rate
Fee breakdowns
Scholarship opportunities specific to this program
Graduate assistantship availability
Employer tuition reimbursement partnerships
Financial aid statistics for this program
ROI calculations, if available
6. FAQ Section (Mirror How Students Ask)
FAQ sections structured as question-and-answer pairs are exactly what AI systems are looking for. Easy to implement, high impact.
Address questions students actually ask:
“Can I complete this program while working full-time?”
“What’s the difference between the online and on-campus versions?”
“Is this program accredited?”
“What kind of support services are available for online students?”
“Can I transfer credits into this program?”
“What technology/software will I need?”
“Are there networking or career services?”
Use the exact phrasing students use. That’s what they’ll type into ChatGPT.
7. Student Testimonials and Success Stories
Real stories from real students are citation gold. AI systems recognize authentic student testimonials as credibility signals, and prospective students find them compelling. Student testimonials provide the social proof that influences user behavior during the decision-making process.
Include named testimonials (with permission), specific outcomes, and career trajectories. “Sarah graduated in 2023 and now works as a data analyst at IBM” is more citable than “Our graduates go on to great careers.”
Video testimonials work even better. They’re harder to fake and more engaging. If you have them, embed them on the page with transcripts for AI to parse. This combines video SEO with powerful conversion content.
Common Mistakes I See
Mistake 1: Content buried in PDFs
AI can’t easily parse PDF content. If your program details live in a downloadable brochure or catalog PDF, they might as well not exist for AI purposes. Extract that content and put it on the page.
Mistake 2: Fragmented information across multiple pages
If students (or AI) have to click through five pages to understand your program (overview, curriculum, admissions, financial aid, outcomes), AI won’t piece it together. Consolidate essential information into a single page, with links to deep dives.
Mistake 3: Missing or hidden outcomes data
If you have good outcomes, show them prominently. If you have mediocre outcomes, at least show the data you’re proud of. Something specific beats nothing every time.
Mistake 4: Generic marketing copy
“Prepare for success in a dynamic global economy” means nothing. Literally nothing. It’s filler text that adds no information.
Compared to: “92% of graduates employed in their field within 6 months, with an average starting salary of $68,000. Top employers include Mayo Clinic, Cleveland Clinic, and Johns Hopkins.”
Which one would you cite? Which one would AI cite?
Mistake 5: No FAQ section
If your program page doesn’t have an FAQ section, you’re leaving AI citations on the table. This is the easiest win. Just add it.
Structured Data and Schema for Higher Education
This section gets technical. Schema markup is how you explicitly tell AI what your content means — metadata that machines read. It’s becoming increasingly valuable for AI visibility.
Why Schema Matters for AI
When AI systems encounter structured data, they don’t have to guess what your content means. You’re telling them directly:
This is an educational organization
This is a course/program
This is an FAQ
This is an event
These are the properties (name, cost, duration, requirements)
Think of it as the difference between handing someone a box of puzzle pieces versus handing them the completed puzzle. Same information, wildly different usability.
AI systems can extract information from unstructured text. But structured data is unambiguous. It removes interpretation. It’s machine-readable by design.
Schema removes ambiguity
Schema Types That Matter for Higher Ed
If you’re not technical, share this section with your developer. If you are technical, here are the four schema types to prioritize:
EducationalOrganization Schema
Your foundation tells AI who you are at the institutional level.
This is especially important for entity disambiguation. If your institution shares a name with another (e.g., multiple “Trinity” universities, multiple “State” schools), schema helps AI understand which one you are. The same applies to Google’s Knowledge Graph. That information panel that appears when someone searches your name. Claim and optimize your Knowledge Panel through Google’s verification process. When AI systems reference knowledge graphs, they’re pulling from that same entity data.
{
“@type”: “EducationalOrganization”,
“name”: “University Name”,
“alternateName”: “Common Abbreviation”,
“description”: “Full description of the institution”,
“url”: “https://www.university.edu”,
“logo”: “https://www.university.edu/logo.png”,
“address”: {
“@type”: “PostalAddress”,
“streetAddress”: “123 Campus Drive”,
“addressLocality”: “City”,
“addressRegion”: “State”,
“postalCode”: “12345”
},
“telephone”: “+1-555-123-4567”,
“foundingDate”: “1890”,
“accreditedBy”: [
{
“@type”: “Organization”,
“name”: “Higher Learning Commission”
}
]
}
Course Schema
For each academic program. This is where the detail matters.
{
“@type”: “Course”,
“name”: “Bachelor of Science in Nursing”,
“description”: “Four-year nursing program preparing students for RN licensure”,
“provider”: {
“@type”: “EducationalOrganization”,
“name”: “University Name”
},
“hasCourseInstance”: [
{
“@type”: “CourseInstance”,
“courseMode”: “onsite”,
“courseWorkload”: “PT120H”
},
{
“@type”: “CourseInstance”,
“courseMode”: “online”
}
],
“occupationalCredentialAwarded”: “BSN”,
“numberOfCredits”: 120,
“educationalLevel”: “Bachelor’s Degree”,
“timeRequired”: “P4Y”
}
FAQPage Schema
For those FAQ sections. This makes your Q&A pairs directly extractable.
{
“@type”: “FAQPage”,
“mainEntity”: [
{
“@type”: “Question”,
“name”: “Can I complete this program while working full-time?”,
“acceptedAnswer”: {
“@type”: “Answer”,
“text”: “Yes, our evening and weekend format is designed for working professionals…”
}
}
]
}
Event Schema
For open houses, information sessions, and application deadlines.
EducationalOrganization schema on your homepage — Define who you are
FAQPage schema on key program and admission pages — Quick win, high impact
Course schema on each academic program page — The biggest lift, but most valuable
Event schema on recruitment event pages — Good for search and AI
Full disclosure: implementing this well usually requires developer resources. Your marketing team can specify what needs to be marked up, but implementation typically needs IT involvement. It’s not a quick win, but it compounds over time. Once it’s in place, it keeps working.
Technical Foundations for AI Visibility
Technical SEO and Site Performance Still Matter
Technical SEO is essential for maintaining a website’s backend health and ensuring it can be identified by search engines. Site speed, mobile responsiveness, crawlability, and security (HTTPS) still matter. AI systems may not rank web pages the way traditional search engines do, but they do learn from sites that meet basic technical standards. Search engine optimization fundamentals haven’t gone away; they’re table stakes for any higher education SEO strategy.
If your higher ed website is slow, broken on mobile, or has crawl errors, fix that first. No amount of schema markup or AI-friendly content will overcome a site that doesn’t load. Run technical SEO audits before diving into the AI-specific optimizations. AI tools can automate tasks like competitor analysis, backlink monitoring, and technical SEO audits. Tools like Screaming Frog, Sitebulb, or AI-powered platforms like Semrush can streamline this analysis.
Managing AI Crawlers
AI systems like ChatGPT, Claude, and Perplexity use their own crawlers (GPTBot, ClaudeBot, PerplexityBot) to index content. You can control their access through robots.txt. Same as traditional search engines.
Most universities should allow these crawlers. If AI can’t access your content, AI can’t recommend you. But if you have gated content or specific sections you want to exclude, you can block specific bots:
User-agent: GPTBot
Disallow: /internal-documents/
User-agent: ClaudeBot
Disallow: /internal-documents/
There’s also a newer standard emerging: llms.txt. This file (placed at your domain root, like robots.txt) tells AI systems how to interpret your site—what’s most important, how content relates, and what context matters. It’s not universally adopted yet, but worth watching as AI crawling matures.
Using AI to Support Student Recruitment
Everything above is about getting *found* by AI. But AI can also be a tool you use directly in recruitment. This section is optional reading (the core work is in the previous sections), but worth considering if you’re building out your digital strategy.
AI Chatbots for Enrollment
A lot of colleges and universities are implementing AI chatbots now. Some are doing it well. Most are not.
My take:
Do:
Use chatbots for high-volume, repetitive questions (office hours, application deadlines, document requirements, program listings)
Train them on your actual FAQ data — real questions from real students
Have clear handoff protocols to human staff for complex questions
Track what questions come up most often — this is gold for content strategy
Set appropriate expectations (tell users they’re talking to a bot)
Expect them to replace human connection — they augment, not replace
Use generic chatbot responses — customize for your institution
Forget to update the knowledge base as information changes
An important distinction: The 50% of students using AI search tools weekly? They’re not looking to talk to a bot on your website. They’re using ChatGPT and Google AI Overviews because they perceive these as unbiased, aggregated answers.
Your institutional chatbot serves a different purpose. Convenience and availability, not research.
A student at 11 pm who wants to know if their transcript was received?
Chatbot territory.
A student trying to decide between your program and a competitor?
That needs a human.
AI-Powered Personalization
Some colleges and universities are using AI tools to create more personalized digital experiences:
Homepage personalization
Showing different content based on visitor signals — location, referral source, previous visits, stated interests. A visitor from Texas sees Texas-specific information and regional alumni. A visitor who previously looked at nursing programs sees nursing content prominently.
Program recommendations
“Based on your interests, you might also consider…” recommendations powered by AI analysis of similar student paths.
Dynamic financial aid estimates
AI-powered calculators that provide personalized estimates based on student-provided information.
Email campaign personalization
Content customization within email campaigns based on recipient behavior and preferences.
AI personalization in action.
The caveat: privacy matters. FERPA applies to student records. GDPR may apply to international visitors. State privacy laws are evolving. Be thoughtful about what data you collect, how you use it, and how you communicate that to visitors.
The line between “helpful personalization” and “creepy surveillance” is real. Stay on the right side of it.
Measuring AI SEO and Search Engine Optimization Performance
You’ve audited, optimized, and implemented. How do you know if any of this is working?
Measuring AI visibility is nothing like measuring traditional SEO. It’s messier, less precise, and still evolving. And the metrics that matter are different. You’re not just tracking organic traffic, website traffic, and keyword rankings anymore. AI-driven search features are changing how students discover information, and AI-generated search results often summarize information without requiring users to click through to your website. You need new metrics for a new search strategy.
What You Can Track
Brand mentions across LLMs
AI SEO tracking tools like Scrunch, Profound, RankScale, and others now track how often your brand appears in AI responses across ChatGPT, Claude, Perplexity, and Google AI Overviews.
Full disclosure, we use Scrunch at my agency, and I think it’s the most thorough option for agencies and enterprises. But there are others at different price points:
Scrunch: Enterprise-focused, full-stack tracking, API access
Profound: Enterprise-focused, detailed insights across 10+ AI engines, custom pricing
RankScale: Budget-friendly, credit-based pricing
The tracking piece is becoming a commodity. Most tools can tell you if you’re showing up. The differentiation is in what they do with that data.
Example AI visibility dashboard—showing metrics that matter.
Position in AI-generated lists
When someone asks “best X programs,” where do you show up? First? Fifth? Not at all? This is trackable and meaningful.
Citation rate
How often does AI cite your content as a source? This is particularly important for Perplexity and Google AI Overviews, which show their sources. Being cited is different from being mentioned; it’s a stronger signal.
Sentiment and accuracy
What does AI say about you? Is it positive, neutral, or negative? More importantly, is it accurate? Inaccuracies need to be addressed.
Competitor share of voice
How do you compare to competitors in AI recommendations? If students ask about your program category, who gets mentioned most?
What You Can’t (Easily) Track
Individual user conversations with AI (privacy and access limitations)
Exactly how AI weighs different factors (black box)
Real-time changes to AI recommendations (there’s always a lag)
Causal attribution (did they enroll because AI recommended you?)
Direct impact on website traffic from AI-driven search results (unlike Google Analytics for traditional search)
The “Windsock” Approach
I’ve said this before, and I’ll say it again: all AI tracking data is imperfect. Analytics aren’t an absolute truth. They’re opinions with decimal points.
AI tracking tools are a windsock, not a GPS. They tell you direction, not precise position.
You’re looking for directional trends:
Are mentions increasing over time?
Is share of voice improving vs. competitors?
Are inaccuracies getting corrected after you update content?
Is sentiment trending positive?
Don’t obsess over precision. Don’t argue about whether you’re mentioned in 47% or 52% of relevant queries. Pick your tool, track consistently, and look for trends up and to the right over time.
Example AI visibility dashboard—showing metrics that matter.
What This Means for Higher Ed Marketers and Marketing Teams
Where do you actually start? These higher education SEO strategies need to fit into your broader web strategy. My recommendations, scaled to your marketing teams and resources:
If You Have Limited Resources (Marketing Team of 1-3)
Start here:
Audit what AI currently says about your institution. This takes 30 minutes and costs nothing. Open ChatGPT, Claude, and Perplexity. Ask the questions we covered. Document what’s wrong.
Fix factual inaccuracies on your website. If AI is saying something wrong, it probably learned it from your site (or from outdated information). Update your site.
Restructure your top 3-5 program pages. Pick your highest-priority programs. Add clear headings, FAQ sections, and outcomes data. This is manual work, but high impact.
Add FAQ sections to key pages. If you do nothing else, do this. FAQs are the easiest content for AI to cite.
If You Have Moderate Resources (Marketing Team of 4-10)
Add:
Implement basic schema markup. Start with EducationalOrganization on your homepage and FAQPage schema on key pages. This requires developer time but pays dividends.
Create a thorough “About” page optimized for AI. A single page that fully answers “What is [University Name]?” with specific data points, history, differentiators, and programs.
Set up tracking with an AI visibility tool. Pick one, commit to it, and track monthly. RankScale is affordable for smaller teams.
Train your content team on AI-friendly formatting. Share this guide. Make it part of your content standards.
If You’re Ready to Go Deep (Dedicated Digital Team)
Then:
Full schema implementation across all program pages. This is a project. Scope it, resource it, execute it systematically.
Competitive analysis based on AI presence. What are competitors doing that you’re not? Where are they getting cited and you’re not?
Ongoing optimization and monitoring program. Monthly reviews of AI visibility data. Quarterly content updates based on findings.
Integration with broader GEO strategy. AI SEO doesn’t exist in isolation. Connect it to your overall search strategy, content creation strategy, and brand strategy. Your SEO strategies should address both traditional search engines and AI platforms.
PR and content strategy aligned with AI visibility. Proactive outreach to get mentioned in publications AI learns from.
The Bottom Line: Adapting Higher Education SEO Strategies for AI
What this all comes down to:
Brand used to be what you said about yourself. You controlled the message.
Then it became what others said about you. Reviews, social media, word of mouth.
Now it’s what AI understands and believes about you. AI synthesizes everything (your content, others’ content, structured data, citations) and forms a representation of your institution that it shares with millions of users.
Universities that move early get the edge. The rest play catch-up.
The tactics here work. I’ve tested them. I’ve seen universities go from invisible in generative search results to consistently recommended. But tactics change. AI changes fast. What won’t change is the need to help AI systems understand who you are, what you offer, and why you matter.
Ultimately, that’s not so different from what we’ve always done in higher ed marketing. We’re just speaking to a new kind of audience. One that never sleeps, has perfect memory, and is advising a third of your prospective students.
The question isn’t whether to adapt. It’s how fast.
What’s Next
Ready to see where you stand?
Start with our free AI Website Grader at ai-grader.searchinfluence.com. It analyzes your site’s AI visibility and gives you a baseline to work from. Then schedule a conversation with our team to walk through the results and identify your highest-impact opportunities.
UPCEA/Search Influence: “AI Search in Higher Education” (2025 research study)
SparkToro/Datos: AI Search Usage Data reports
Google Search Central: AI Overviews documentation
Tools Mentioned:
ChatGPT
Claude
Perplexity
Google AI Overviews (in Google Search)
*Will Scott is cofounder of Search Influence, a digital marketing agency specializing in higher education. He teaches the SMX Masterclass on Generative Engine Optimization (GEO) and has been tracking the AI search space since late 2022. Connect with him on LinkedIn.*
Harvard Law School’s Program on Negotiation has engaged Search Influence to conduct a comprehensive AI SEO audit. This audit will focus on how the program’s academic content is represented across AI-driven and traditional search environments.
As generative search tools and AI-powered summaries continue to influence how people discover and evaluate academic programs, institutions are examining how their content appears, is summarized, and is connected across search platforms.
The Search Influence and Harvard Law School partnership reflects those evolving discovery patterns and the growing role of AI in early research.
Reviewing How Academic Content Is Interpreted by Search Systems
As part of this engagement, our team will evaluate how the Program on Negotiation’s existing digital content is interpreted by AI systems, including LLMs and other AI-generated search experiences. The audit will examine structural clarity, entity alignment, and contextual signals that influence whether the program’s academic expertise, programs, and resources are surfaced during AI search.
In parallel, we will also assess traditional SEO foundations. This includes reviewing how high-performing content is connected across the site and how effectively that content supports broader program awareness and discoverability across search experiences.
About the Program on Negotiation
Based at Harvard Law School, the Program on Negotiation is a university consortium dedicated to developing the theory and practice of negotiation, mediation, and dispute resolution. Founded in 1983 as a research initiative, the program brings together faculty, students, and practitioners from Harvard University, the Massachusetts Institute of Technology, and Tufts University.
The program serves a global audience through executive education programs, faculty research, publications, training initiatives, and educational resources that support both academic study and applied practice.
A New Standard for Academic Visibility in Search
Search visibility is no longer limited to rankings or keywords. AI-driven systems increasingly shape which academic programs are surfaced, how expertise is summarized, and what information enters early consideration.
For institutions, this creates a new responsibility: ensuring that academic authority, depth, and context carry through as content is interpreted across evolving search environments. Understanding that representation is now a core part of a modern search strategy.
Our AI SEO audit work focuses on helping institutions gain clarity into how their existing content and signals are reflected across both AI-driven and traditional search systems.
Expert-Level AI SEO and Traditional SEO Services
If you’re responsible for visibility, enrollment, or institutional reputation, understanding how your programs appear across today’s search landscape is no longer optional.
At Search Influence, our seasoned team works with institutions to evaluate search visibility at a strategic level (across AI-driven platforms and traditional search) and to identify where alignment, clarity, and authority can be strengthened.
Explore our AI SEO and traditional SEO services to see how our work supports institutions navigating the next phase of search.
Higher education discovery is becoming increasingly more distributed, more automated, and more competitive.
Students now rely on a mix of AI tools, traditional search engines, and social platforms as they evaluate programs. Institutional strategies, however, do not always reflect how these new search elements work together.
Below, we’ve compiled over 30 statistics that show how student search behavior has shifted and how institutions are responding (or aren’t). Use them to identify your visibility gaps, validate your priorities, and guide your strategic updates for 2026 and beyond.
How Students Search for Higher Education Programs Today
AI tool usage and trust in the research process
50% of prospective students use AI tools at least once a week.
1 in 3 prospects trust AI tools as a source for program research.
79% of prospects read Google’s AI-generated overviews when they appear in search results.
56% of students are more likely to trust a brand that is cited by AI.
Search engines and university websites remain core discovery channels
84% of prospects use traditional search engines to explore professional and continuing education programs.
63% of prospects rely on university websites during their research process.
77% of prospects trust university-owned websites over other sources.
82% of prospects are more likely to consider programs that appear on the first page of search results.
Search behavior is expanding across multiple platforms
84% of prospects use search engines to research professional education opportunities.
61% of prospects use YouTube.
50% of prospects use AI tools.
Social platforms still influence consideration
Nearly 70% of prospects say frequent recommendations on social media increase their likelihood of considering a product or service.
YouTube (57%), LinkedIn (49%), and Facebook (43%) are the top social media platforms for program research.
How prospects search and what content they want
Multi-word search phrases dominate how prospects search for programs.
Prospects under age 35 show nearly twice the interest in professional and continuing education compared to older audiences.
65% of prospects want clear program summaries in social content.
54% of prospects look for career guidance and outcomes.
50% of prospects want testimonials and real student perspectives.
This data is drawn from AI Search in Higher Education: How Prospects Search in 2025, a research study conducted by Search Influence in partnership with UPCEA in March 2025. The study is based on survey responses from 760 prospective adult learners and examines where students search for programs, how they use AI tools and alternative platforms, and which sources they trust most during the decision-making process.
Institutional Readiness for AI Search in Higher Education
AI search strategy adoption across institutions
60% of institutions say they are in the early stages of exploring AI search.
30% of institutions report having a formal AI search strategy in place.
10% of institutions have not started or do not believe AI search will significantly impact student discovery.
Challenges slowing AI search adoption
70% of institutions cite limited bandwidth or competing priorities as their biggest barrier.
36.67% of institutions report a lack of in-house expertise or training.
26.67% of institutions cite unclear ROI, lack of leadership buy-in/institutional support, or uncertainty about how AI search works as slowing progress.
What institutions are prioritizing in AI search strategy
59.26% of institutions prioritize the accuracy of AI-generated information about their programs.
48.15% of institutions focus on improving visibility and competitive positioning in AI-driven results.
22.22% of institutions say other initiatives currently take priority.
14.81% of institutions are waiting to see how AI search evolves before acting.
Tracking and Measuring Visibility in AI-Generated Search Results
Awareness and monitoring of AI search visibility
56.7% of institutions know their institution appears in AI-generated answers.
26.7% of institutions have seen their institution referenced once or twice, but do not actively track it.
13.3% of institutions are unsure whether they appear in AI-generated responses.
64.29% of institutions that track AI visibility use dedicated tools or formal tracking methods.
28.57% of institutions do not formally track their AI visibility.
The above insights are based on the AI Search in Higher Education Snap Poll, conducted by UPCEA in October 2025. The poll surveyed 30 UPCEA member institutions to understand how colleges and universities are responding to AI-driven changes in student search behavior.
Frequently Asked Questions About AI Search in Higher Education
What is AI search, and how is it changing higher education discovery?
AI search describes how people use AI-powered tools and summaries to find and compare information across many sources at once. Rather than navigating page by page, users increasingly rely on AI to surface key context and options early. In higher education, this behavior is already widely adopted, with 50% of prospective students using AI tools at least weekly and 79% reading AI-generated overviews when they appear. As a result, early impressions of programs are often formed before a student reaches a university website.
Does AI search optimization replace traditional SEO for higher education marketing?
No, AI search optimizations do not replace traditional SEO strategies. Rather, they build on them. AI-powered tools still rely on well-organized, relevant, and authoritative content to generate accurate summaries and recommendations. For higher education, that means strong technical foundations, clear program pages, and credible signals remain essential. AI search adds a new layer of visibility, but it only works effectively when the underlying SEO structure is sound.
What risks do institutions face if they ignore AI search?
Ignoring AI search increases the risk of being invisible or misrepresented during early research. Because AI-generated summaries often guide program awareness, institutions that do not appear may never enter a prospect’s consideration set. Research shows that while 56.7% of institutions believe they appear in AI-generated answers, many do not actively track that visibility, creating blind spots that can quietly undermine recruitment efforts. Awareness without measurement leaves exposure gaps.
Can institutions influence what AI tools say about their programs?
Yes, organizations can influence AI outputs by improving the clarity and consistency of the information AI systems reference. AI tools commonly draw from authoritative, well-structured content when generating summaries. For higher education institutions, this means program pages, admissions information, and outcome-based content play a direct role in how programs are described. Influence comes from strong content foundations rather than direct control.
How should marketing teams prepare for continued changes in AI search?
Marketing teams should approach AI search as an extension of modern discovery, not a separate channel. Preparation includes understanding how information is summarized, ensuring content is accurate and extractable, and monitoring visibility across AI-driven environments. Higher education teams that align content strategy with student research behavior are better positioned to adapt as AI search continues to evolve. The goal is sustained visibility, not one-time optimization.
What This Means for Higher Education Marketing Teams
Student behavior has moved faster than institutional strategy, creating visibility gaps at the earliest stages of discovery.
AI-generated answers now play a meaningful role in which programs make it into a prospect’s consideration set, raising the stakes for how institutions appear in those environments. As this shift accelerates, accuracy, clarity, and consistency across owned content directly influence how programs are represented and trusted.
This post was updated by Paula French on 1/22/26 to reflect current best practices. It was originally published on 11/7/25
Key Insights
Half of all prospective students now use AI tools daily or weekly, making AI-optimized content and entity SEO essential for institutional visibility.
Fewer than 50% of higher ed marketers track cost per inquiry (CPI), even though those who do report stronger ROI and campaign satisfaction.
82% of prospective students are more likely to consider programs that appear on page one of search results, underscoring the link between SEO investment and enrollment growth.
Most universities lack a formal SEO strategy. 51% admit they don’t have a defined plan, leaving major opportunities for early adopters to dominate AI and organic search.
Integrated, data-driven marketing across SEO, content, email, and paid media consistently outperforms siloed efforts by improving student engagement, retention, and brand trust.
AI Overviews, social search, and shrinking applicant pools have rewritten how students discover programs.
The old playbook won’t cut it; higher education marketers need clear, actionable guidance fast. This FAQ compiles the most-searched questions we hear from universities and colleges and gives concise, research-backed answers you can apply today.
This guide draws on three cornerstone studies from Search Influence and UPCEA:
Together, these reports reveal how today’s students search, how institutions measure success, and where colleges can strengthen their digital foundations. By applying these insights, your marketing team can build an integrated strategy that reaches prospective students across multiple channels and platforms.
Ready to level up your visibility across digital marketing channels? Let’s start with the basics.
General Higher Education Marketing FAQ
What is higher education marketing?
Higher education marketing is the process of promoting academic programs and institutional value to attract, engage, and enroll students.
It helps higher education institutions communicate who they are, what they offer, and why they matter to students, families, and communities. Because prospective students make decisions over months or even years, higher ed marketing often targets multiple audiences, from high school students to alumni and employers.
Success depends on building a unified digital marketing strategy that combines brand storytelling with recruitment goals across multiple platforms. By integrating search engine optimization (SEO), digital advertising, content marketing, email marketing, social media, and PR, institutions can reach students at every stage of their decision-making journey while reinforcing trust and brand recognition.
What are common marketing mistakes colleges make?
Common marketing mistakes include underfunding SEO, inconsistent messaging, and failing to track ROI.
Many colleges focus heavily on awareness but neglect measurable outcomes like inquiries or conversions. Others overlook technical SEO, rely on outdated personas, or split marketing and admissions efforts into silos, causing disjointed communication.
According to Search Influence and UPCEA’s Marketing Metrics Report, fewer than half of higher education marketers consistently track cost per inquiry (CPI), making it difficult to prove campaign performance.
To avoid these pitfalls, institutions should refresh audience research, develop clear KPIs, and schedule regular SEO and accessibility audits to keep content relevant and visible.
How can AI improve college marketing campaigns?
AI improves college marketing campaigns by helping institutions analyze data, personalize outreach, and optimize performance.
Artificial intelligence can identify which students are most likely to apply, surface trending keywords, and even predict when to re-engage inactive prospects. AI-powered chatbots and automation tools also allow universities to provide instant responses and tailor messaging to individual interests.
Search Influence’s 2025 research found that 50% of prospective students use AI search tools weekly, and 1 in 3 trust those tools for program research. With proper oversight and brand alignment, colleges can use AI to streamline workflows, improve targeting, and stay visible in AI-driven search environments.
How do colleges measure marketing success?
Colleges measure marketing success by tracking metrics like inquiries, applications, conversion rates, and cost per inquiry.
These indicators show how effectively marketing turns awareness into enrollment. A strong measurement plan tracks the full student funnel — from impression to click, inquiry, application, and enrollment — using tools like CRM systems, GA4, and Looker Studio dashboards.
The most effective higher ed marketing teams use dashboards like Looker Studio, Power BI, or Tableau to create data visualizations and surface the metrics that matter.
Search Influence’s Marketing Metrics study found the average CPI for professional and online education is about $140. Institutions that review KPIs monthly and adjust quarterly see better alignment between marketing efforts and enrollment goals, improving both efficiency and ROI.
How has higher education marketing changed in 2025?
Higher education marketing strategies in 2025 have shifted toward AI-driven search, conversational content, and data-informed decision-making.
Students now rely on AI tools, social search, and short-form video to discover programs instead of just traditional search engines.
As a result, institutions must create structured, citation-ready content that answers questions quickly and builds trust. With 1 in 3 students trusting AI for research, universities that adapt early with AI-optimized content, transcripts, and accessible multimedia will gain a lasting visibility advantage.
What’s the role of marketing in student retention?
Marketing supports student retention by maintaining engagement and strengthening community after enrollment.
Consistent communication helps students feel informed, supported, and connected to campus resources and culture. When retention-focused marketing shares success stories, wellness initiatives, and career resources, it reinforces the value of the student’s decision to attend.
Retention campaigns might include orientation emails, progress check-ins, and alumni outreach. By treating current students as an ongoing audience, institutions improve satisfaction, increase graduation rates, and build loyalty that lasts beyond commencement.
How should universities balance brand awareness and program-specific marketing?
Universities should balance brand awareness and program-specific marketing by distinguishing long-term reputation goals from short-term enrollment targets.
Brand campaigns showcase the institution’s mission, faculty excellence, and campus life, while program campaigns speak directly to prospective students evaluating their next step.
When both are managed under one unified digital strategy, the impact multiplies. Broad brand storytelling fuels recognition, and targeted program pages capture conversions. Shared messaging calendars and attribution tracking ensure that every channel, from video to search, contributes to the same institutional goals.
SEO for Higher Education FAQ
How is AI changing higher education search?
AI is transforming higher education search by prioritizing context, authority, and trust signals over keyword repetition.
According to our AI Search in Higher Education report, how prospective students search has become increasingly diversified: 84% use search engines, 61% use YouTube, and 50% use AI tools.
Institutions that adapt to AI-first search behaviors will see stronger rankings, visibility, and engagement.
How do universities benefit from search engine marketing?
Search engine marketing helps universities reach qualified students through a blend of paid and organic visibility.
SEO builds long-term authority and organic traffic, while paid search campaigns deliver immediate exposure for time-sensitive initiatives like application deadlines or open houses.
When SEO and paid ads work together, they cover the full student journey, helping institutions lower costs per inquiry while improving overall visibility.
What are common SEO mistakes colleges make?
Common SEO mistakes include outdated or unstructured content, a lack of strategic links to program pages, and a lack of citations for programs.
Next, we see weak internal linking and missed opportunities to drive prospects from blog pages to program pages.
Many institutions overlook technical elements like schema markup or have a challenge with implementing it as deeply as needed.
Search Influence’s SEO Readiness Research Study found that 51% of higher ed marketers lack a formal SEO strategy, and only 19% excelled in audits. Regular audits, technical maintenance, and clear governance can quickly improve performance and help colleges compete for attention online.
How does ChatGPT or Gemini impact higher ed SEO?
ChatGPT and Gemini are changing SEO by influencing how students consume information.
Instead of clicking through multiple websites, users often receive summarized answers directly within AI-generated results.
To stay visible, institutions must ensure their content is accurate, well-structured, and clearly attributed. Creating pages that answer student questions concisely, like tuition costs, outcomes, or requirements, increases the chances of being cited in AI Overviews.
Why are student testimonials essential for SEO success?
Student testimonials boost SEO by adding authentic content that reinforces expertise and trust.
Testimonials create fresh, relevant text that both search engines and prospective students value.
Featuring these stories on program pages, blogs, and video platforms supports Google’s E-E-A-T principles (Experience, Expertise, Authoritativeness, Trustworthiness) and helps potential students see themselves in your campus community.
What’s the best approach to link building for higher education?
The most effective link building approach focuses on authority and relevance.
Universities can earn backlinks by publishing research, contributing expert commentary, and partnering with associations or media outlets.
Quality always outweighs quantity; credible academic and industry sources signal trust to search engines. Regularly reviewing link profiles ensures ongoing improvement without the risks of spammy or irrelevant backlinks.
How can universities appear in Google’s AI Overviews?
Universities appear in AI Overviews when their content is credible, well-structured, and up to date.
Successful universities create off-site citations through directories, earned media, and social channels that reinforce co-occurrence and co-citation.
Pages that use schema markup, summarize information clearly, and cite trustworthy sources are more likely to be pulled into generative results.
Updating program data quarterly, maintaining consistent branding, and writing in a clear, student-focused tone all improve a university’s ability to show in AI Overviews.
What is entity SEO, and why does it matter for colleges?
Entity SEO helps search engines understand a university’s identity, structure, and expertise. By marking up elements like programs, faculty, and events with schema and maintaining consistent naming conventions, institutions make it easier for search engines to recognize authority.
Strong entity SEO enhances visibility in both AI and traditional results, ensuring your institution is accurately represented wherever prospective students search.
Can Search Influence assist with social media as part of AI SEO?
Yes, Search Influence integrates social media and AI SEO strategies to help colleges strengthen visibility across both traditional and emerging search environments. Our approach connects entity optimization, structured data, and content strategy with social engagement signals.
Search Influence will guide your social media team or will produce optimized social media content in support of your SEO strategy.
This integration ensures that universities build authority where students spend their time (on search engines, AI tools, and social platforms), resulting in greater reach and improved brand perception.
Where can I find reliable recommendations for tracking competitor visibility in AI searches?
Tools like RankScale, Scrunch, and Profound can help universities monitor how competitors appear in AI-generated search results.
These tools track which websites are cited in AI Overviews, how often they’re mentioned, and what types of content earn inclusion. Using this data, marketing teams can identify content gaps, update program pages, and refine SEO strategies to stay competitive as AI-driven search continues to evolve.
Higher Education Paid Search FAQ
Can Search Influence help with paid digital advertising for universities?
Yes, Search Influence manages digital advertising campaigns that are built to generate qualified leads and maximize ROI.
Our team uses geo-targeting, remarketing, and deadline-based ad strategies to attract prospective students at key decision points.
Aligning paid campaigns with SEO and landing page optimization ensures cohesive messaging and better conversion rates across your digital marketing efforts.
What is paid search vs SEO?
Paid search provides (mostly) immediate visibility through paid placements, while SEO builds organic authority over time.
Both are essential to a balanced marketing strategy. Paid campaigns can drive quick results, while SEO ensures lasting presence.
When integrated, they reinforce each other: paid search captures attention now, and organic SEO keeps your institution visible long after the ad spend ends.
How can paid digital advertising (PPC) support enrollment campaigns?
Paid digital advertising (sometimes called PPC) supports enrollment campaigns by driving traffic to high-value program pages during key application and decision periods.
Ads highlighting deadlines, scholarships, or open houses meet students when urgency is highest.
With tools like lookalike audiences and remarketing lists, colleges can re-engage previous visitors and nurture them toward inquiry and enrollment.
What metrics matter most in higher ed paid digital advertising (PPC)?
Conversion rate, cost per inquiry, and return on ad spend are the most important metrics in higher education paid digital advertising (PPC).
Secondary indicators (like click-through rate, quality score, and impression share) help diagnose performance.
Tracking inquiries and applications through CRM data gives institutions a full picture of what drives real conversions, ensuring that budgets support measurable enrollment growth.
Should colleges bid on branded keywords?
Colleges should bid on branded keywords to protect visibility and prevent competitors from appearing above their own organic listings.
Branded campaigns are inexpensive, reinforce awareness, and ensure control over messaging.
By occupying both paid and organic positions, institutions increase credibility and make it easier for students to find official information quickly.
How does AI automation improve Google Ads performance?
AI automation enhances Google Ads performance by dynamically adjusting bids, targeting, and creative based on real-time engagement data.
Smart Bidding and Performance Max campaigns can optimize spend while identifying new audience opportunities.
Marketers should still monitor automation closely, ensuring that AI-driven adjustments align with institutional priorities, brand tone, and geographic goals.
Higher Education Content Marketing FAQ
How does Search Influence approach content marketing?
Search Influence approaches content marketing through a research-driven process that aligns every piece with SEO and audience intent.
It starts with an audit to identify opportunities and ends with measurable results in search visibility and student engagement.
Our strategy includes building content clusters, applying schema for clarity, and measuring outcomes like AI Overview inclusion and inquiry lift. The result is a scalable, data-informed system that helps institutions consistently publish high-performing, search-optimized content.
What is content marketing in higher education?
Content marketing in higher education uses educational storytelling to inform and inspire prospective students while building institutional trust. This approach includes creating program guides, faculty Q&As, alumni success stories, and student life videos, all tailored to different stages of the enrollment journey.
Because prospective students spend significant time researching before applying, consistent, high-quality content helps position universities as credible sources of information. A well-organized content library improves search rankings, nurtures leads, and supports long-term brand awareness.
What content helps convert prospective students online?
Content that converts prospective students combines transparency, proof, and personality.
Decision-making students look for information about tuition, career outcomes, accreditation, and campus culture. They also rely on authentic voices, such as student testimonials and alumni stories, to validate their choices.
To increase conversions, universities should highlight outcomes, answer cost-related questions directly, and include clear CTAs such as “Request Information” or “Apply Now.”
Research from Search Influence shows that 82% of prospects are more likely to consider programs that appear on page one, underscoring the link between optimized content and enrollment success.
What tools are best for managing higher education content marketing campaigns?
The best tools for higher education content marketing streamline planning, optimization, and reporting.
Platforms like HubSpot, SEMrush, Clearscope, and MarketMuse allow teams to manage campaigns, track SEO performance, and measure engagement in one place.
Paired with collaboration tools like Asana or Notion, these systems help marketing teams coordinate across departments and maintain consistent messaging. Monitoring AI search performance with tools like RankScale or Profound adds another layer of insight, helping institutions stay competitive in emerging search environments.
How can universities repurpose existing content?
Universities can repurpose content by adapting top-performing assets into new formats to reach different audiences.
Regularly updating and linking repurposed content increases its lifespan and search value. A quarterly refresh of stats, links, and calls to action ensures content remains accurate and relevant to prospective students.
How do you create content that performs well in AI Overviews?
Content performs best in AI Overviews when it’s concise, structured, and authoritative.
Pages that clearly answer questions, include schema markup, and cite reputable sources are more likely to be featured in AI-generated summaries.
Breaking long content into sections, adding TL;DR summaries, and maintaining up-to-date statistics all help AI tools recognize value and accuracy. Universities that optimize for clarity and structure are better positioned to appear in both AI and traditional search results.
What role does accessibility play in higher ed content marketing?
Accessibility ensures that every student can access and understand institutional content, regardless of ability or device.
Accessible pages — those with alt text, transcripts, readable design, and proper heading structure — improve both usability and SEO.
Beyond compliance, accessibility signals inclusivity and professionalism, strengthening brand trust. Accessible content also performs better in search because it’s easier for major search engines and AI systems to interpret.
Email Marketing for Higher Education FAQ
What is higher education email marketing?
Higher education email marketing is the practice of nurturing relationships with prospects, students, and alumni through personalized communication at each stage of the student lifecycle. Unlike generic campaigns, effective email strategies deliver content that reflects the recipient’s goals and timeline.
When emails are segmented by audience and behavior, such as application status or event participation, they create a sense of relevance that drives engagement and enrollment.
What are the benefits of email marketing for colleges?
Email marketing benefits colleges by providing a direct, measurable way to engage prospective and current students.
It delivers high ROI, builds brand awareness, and reinforces trust by keeping communication consistent throughout the decision-making process.
Email plays a critical role in conversion by guiding students from awareness to action.
Well-timed sequences can nurture interest with program highlights, student stories, and reminders about upcoming deadlines.
Each message builds confidence, encouraging students to move from inquiry to application. When combined with personalized calls to action and responsive design, email becomes one of the most reliable conversion tools in enrollment marketing.
How can universities improve email engagement rates?
Universities can improve email engagement by segmenting audiences, personalizing content, and testing messages.
Emails that reference a student’s program of interest or desired start term feel more personal and relevant.
Short subject lines, strong preview text, and mobile-friendly formatting also improve open and click rates. Maintaining list hygiene and monitoring deliverability ensures that your most engaged contacts always see your messages.
How should email integrate with other higher ed marketing channels?
Email works best when it complements SEO, social media, and paid campaigns.
When a prospect engages with a search ad or social post, follow-up emails can provide more detail, invite them to a virtual event, or connect them with an admissions counselor.
This omnichannel approach keeps communication consistent across touchpoints and helps institutions track the full impact of their digital marketing strategies.
How often should colleges email prospective students?
Most colleges email prospects weekly during active recruitment seasons and scale back to biweekly or monthly when engagement naturally slows.
Frequency should balance consistency with respect for inbox fatigue.
Using preference centers or opt-down options allows prospects to control how often they hear from you, improving engagement while reducing unsubscribes.
What’s a good open rate benchmark for higher ed?
A good email open rate ranges from 17-28%, depending on audience size and message type. Smaller, more targeted lists usually perform best because they deliver content tailored to specific interests.
Regularly testing subject lines, send times, and content length can reveal what resonates most with your audience and help refine your email marketing strategy.
Snap Poll FAQ: AI Search Strategy in Higher Education
In October 2025, UPCEA partnered with Search Influence to conduct a snap poll examining how higher education institutions are responding to the rise of AI-powered search usage. The poll was shared through UPCEA’s Membership Matters newsletter and the UPCEA CORe discussion site, reaching marketers and leaders across higher education.
A total of 30 UPCEA members participated, offering a real-time snapshot of institutional readiness for AI search. The questions and response breakdowns below reflect current strategy, challenges, and tracking practices. Together, they highlight a consistent theme seen across Search Influence and UPCEA research: while awareness of AI search is widespread, execution, measurement, and infrastructure are still developing across many institutions.
Which of the following best describes your institution’s current strategy
for addressing the rise of AI-powered search tools (e.g., Google’s AI Overviews, ChatGPT, Gemini, Perplexity)?
60%: We’re in the early stages of exploring how to adapt to AI search
30%: We have a formal strategy and are actively optimizing content for AI tools
6.67%: We know it’s important, but haven’t taken any action yet
3.33%: We don’t think AI search will significantly impact student discovery
What challenges does your institution face in adapting to AI-powered search? Select all that apply.
70%: Competing initiatives or limited bandwidth
36.67%: Lack of in-house expertise or training
26.67%: Unclear return on investment (ROI)
26.67%: Uncertainty about how AI search works or what to do next
26.67%: Leadership buy-in or institutional support is missing
10%: Other
Has your institution’s website appeared in AI-generated search results (e.g., Google AI Overviews, ChatGPT, Perplexity)?
56.67%: Yes — we know it does
26.67%: Maybe — we’ve seen it once or twice, but don’t track
3.33%: No — not that we’re aware
13.33%: Not sure
Which of the following best describes how your institution tracks visibility in AI-generated search results?
64.29%: With a tool or tools
28.57%: We don’t track this formally
7.14%: Manually
What are the reasons behind your team’s current approach to AI search? Select all that apply.
59.26%: To ensure accurate and trustworthy information is presented in AI tools
48.15%: To increase visibility and stay competitive in search rankings
22.22%: Other priorities are taking precedence right now
14.81%: We’re waiting to see how AI search evolves before taking action
11.11%: Other
Marketing for Higher Education Research
Search Influence’s higher education marketing research helps universities make data-driven decisions and adapt to AI-era search. In partnership with UPCEA, these reports provide education marketing benchmarks leaders can act on. Supporting budget asks, KPI frameworks, and practical AI SEO ramp plans that align institutional priorities with enrollment marketing campaigns.
AI Search in Higher Education: How Prospects Search in 2025
This study shows how students increasingly use AI tools to explore and evaluate programs, and what that means for your visibility. We found that 50% of prospects use AI weekly, 1 in 3 trust AI for program research, and 82% prefer programs on page one of search results.
The report explains which platforms students use most, how often, and why trust varies by task. You’ll also see how YouTube and university websites influence AI-assisted decisions and how early movers gain a durable edge.
The takeaway is clear: SEO is a prerequisite for AI visibility, and institutions that operationalize AI-ready content now will win share.
Marketing Metrics Research Report: What Gets Measured Gets Managed
This report details how tracking cost per inquiry and campaign performance improves marketing efficiency and team confidence. Benchmarks include an average CPI of about $140, with email commonly managed in-house and digital advertising more often outsourced.
We highlight persistent gaps, fewer than half of teams track CPI consistently, and show how to fix them with standardized definitions, shared dashboards, and quarterly target setting. You’ll learn which metrics correlate with higher satisfaction and where to focus first to tighten attribution.
Use these insights to build executive-ready reporting that unlocks smarter budget allocation.
This study reveals that most institutions view SEO as foundational but lack a formal plan and consistent reporting. Findings include 51% of universities are without an SEO strategy, only 19% excel in third-party audits, and just 31% of institutional leaders receive regular SEO updates.
We outline concrete risks and map the fixes. Recommendations include governance models, entity maps, structured data, and content refresh rhythms tied to academic calendars.
The study is a practical roadmap for building sustainable SEO operations.
Learn More About Our Higher Education Marketing Agency
Search Influence is a higher education digital marketing agency that helps universities attract, engage, and enroll students through data-driven strategies.
From AI-ready SEO and content to paid media and analytics, we partner with colleges and universities to extend reach, raise organic traffic, and convert interest into enrollments across multiple channels.
This post was updated by Paula French on 12/23/2025 to reflect current best practices. It was originally published on 1/9/2025.
Higher education marketers face more pressure to compete than ever before. From the demographic cliff and evolving modern learner to the rise of AI-driven program discovery, institutions must pay close attention to how they measure up to the industry to stay ahead.
These 90+ stats, drawn primarily from our continuing and online education research with UPCEA, reveal how institutions approach digital marketing, AI visibility, performance tracking, and student reach. See what’s working, what’s missing, and where to focus your next efforts for greater success.
Must-Know Higher Education Marketing Stats for 2026
Prospect Behavior & Outlook Statistics
AI search usage & adoption stats
50% of prospects use AI tools at least weekly.
The majority of prospects use AI search (50%) the same way they use a traditional search engine.
79% of prospects read Google’s AI Overviews.
1 in 3 prospects trust AI tools for program research.
56% of prospects are more likely to trust brands cited by AI-generated answers.
Multi-channel program discovery stats
84% of prospects use search engines for program research.
61% of prospects use YouTube.
50% of prospects use AI tools.
Organic search visibility & consideration stats
82% of prospects are more likely to consider programs on page one of search results.
Prospects are most likely to rely on search engines (84%) and university websites (63%) to explore programs.
77% of prospects trust university websites over other sources.
Social & video discovery stats
Nearly 7 in 10 prospects say frequent social media recommendations make them more likely to consider a product or program.
YouTube (57%), LinkedIn (49%), and Facebook (43%) are the top social media platforms used for program research.
Prospects want program summaries (65%), career advice (54%), and testimonials (50%) in social content.
Online learner stats
73% of online learners are pursuing degrees.
27% of online learners are pursuing credit-bearing certificates or licensure programs.
58% of online learners are employed full-time.
21% of online learners are employed part-time.
26% of online learners choose a school based on how well its programs align with their career goals.
32% of online learners cite time to completion as a key enrollment factor.
Adult learner stats
Prospects under 35 are nearly twice as interested in professional and continuing education than older adults (41+).
Adult learners account for 42% of higher education revenue.
The total addressable market of adult learner candidates is estimated to be 242+ million.
Gen Z is predicted to comprise 60% of all adult learners by 2031.
Marketers’ SEO/AI SEO Capability & Strategy Statistics
SEO prioritization & awareness stats
82% of higher ed marketers view digital marketing as a core part of their marketing strategy.
84% of higher ed marketers view SEO as a core part of their marketing efforts.
51% of higher ed marketers do not have an established SEO strategy.
52% of higher ed marketers are highly aware of their continuing and online education unit’s SEO capabilities, processes, and strategies.
SEO execution & resourcing stats
91% of higher ed marketers implement paid search into their SEO strategy.
27% of higher ed marketers integrate keyword optimization and link-building into their SEO strategy.
55% of higher ed marketers allocate marketing spend to every graduate program in their portfolio.
15% of higher ed marketers allocate funds equally across programs.
SEO ownership model stats
36% of higher ed marketers say SEO for their online and continuing education programs is handled entirely by the marketing or continuing ed unit.
23% of higher ed marketers say their SEO is split evenly between in-house teams and outsourcing.
18% of higher ed marketers say their SEO is mostly handled in-house, with some outsourcing support.
18% of higher ed marketers say their SEO is mostly outsourced, with some help from in-house teams.
SEO strategy leadership stats
36% of higher ed marketers say their SEO strategy is mostly led by the continuing and online education unit, with some input from the college or university.
27% of higher ed marketers say their SEO strategy is exclusively led by the continuing and online education unit.
18% of higher ed marketers say their SEO strategy is mostly led by the college or university, with some input from the continuing and online education unit.
18% of higher ed marketers say their SEO strategy is evenly led by the college or university and the continuing and online education unit.
SEO web content & collaboration stats
36% of higher ed marketers say their marketing team doesn’t involve faculty or staff in SEO keyword selection.
92% of institutions strategically highlight degree, program, and/or course information in their website design.
78% of institutions strategically use title tags and meta descriptions in their website design.
70% of institutions strategically use images and image optimizations in their website design.
20% of higher ed marketers don’t have a plan for developing and updating their website content.
SEO strategy review cadence stats
50% of higher ed marketers say their unit revisits their SEO strategy every quarter.
18% of higher ed marketers say their unit revisits their SEO strategy once every six months.
14% of higher ed marketers say their unit revisits their SEO strategy once a year.
5% of higher ed marketers say their unit revisits their SEO strategy once every few years.
AI search strategy adoption stats
60% of institutions are in the early stages of exploring AI search.
30% have a formal AI search strategy.
10% have not started or do not believe AI will impact student discovery.
AI search adoption challenge stats
70% of institutions cite limited bandwidth or competing priorities.
36.67% cite lack of in-house expertise or training.
26.67% cite unclear ROI or uncertainty about AI mechanics.
AI search strategy priority stats
59.26% of institutions prioritize ensuring the accuracy of AI-generated information.
48.15% focus on gaining visibility and competitive positioning.
22.22% say other priorities rank higher.
14.81% say they are waiting to see how AI search evolves.
Marketing Tracking & Reporting Statistics
AI visibility tracking stats
56.7% of institutions say their institution appears in AI-generated answers.
26.7% say they’ve seen their institution appear in AI-generated answers once or twice, but they do not track it.
13.3% are uncertain.
64.29% of institutions use tools to track visibility in AI-generated answers.
Lead tracking & attribution stats
Less than 60% of higher ed marketers have insight into how leads perform after moving from marketing to enrollment efforts.
31% of marketing departments struggle to correlate their marketing success with enrollment numbers.
Cost tracking stats
46% of higher ed marketers track cost per inquiry.
43% of higher ed marketers track cost per enrolled student.
Website performance & traffic tracking stats
93% of higher ed marketers track their programs’ web traffic.
89% of higher ed marketers track their programs’ source of traffic.
85% of higher ed marketers track their programs’ organic visits.
70% of higher ed marketers track time spent on pages.
69% of higher ed marketers track bounce rates.
SEO reporting expectations & gaps stats
62% of university leaders want consistent reporting on SEO.
31% of university leaders receive the regular SEO reports they want.
Reporting frequency stats
33% of higher ed marketers report on metrics once a month.
24% of higher ed marketers report on metrics once a quarter.
8% of higher ed marketers report on metrics once every six months.
10% of higher ed marketers report on metrics once a year.
Higher Education Marketing Statistics and Benchmarks FAQs
How is the traditional higher education student evolving in 2026?
The higher education sector is facing a “demographic cliff,” with a sharp decline in traditional 18-22-year-old students expected over the next two decades. This anticipated decline presents an opportunity to market to a growing population of adult learners, aged 25+. Recent data estimates the total addressable market of adult learner candidates at 242+ million.
These “modern learners” may be entering college for the first time or returning to school to finish a degree. Because they are often employed part or full-time, they tend to value flexibility and distance-learning programs to accommodate a busier schedule.
How are prospective students using AI tools to research higher education programs?
AI tools are becoming a regular part of today’s prospect search process. 50% of prospects use AI tools at least weekly, and 79% read Google’s AI Overviews. While search engines and university websites remain central, 1 in 3 prospects say they trust AI tools for program research, signaling a shift in how discovery and evaluation happen.
How do AI-generated answers influence trust and program consideration?
AI visibility is increasingly tied to credibility. 56% of prospects say they are more likely to trust brands cited by AI Overviews. Even as AI tools gain traction, 77% of prospects still trust university websites over other sources, reinforcing the importance of accurate, authoritative institutional content.
How prepared are higher education institutions for AI-driven search and discovery?
Institutional readiness varies widely. 60% of institutions are still in the early stages of exploring AI search, while 30% report having a formal AI search strategy. Despite growing adoption, only about 64% of institutions use tools to track visibility in AI-generated answers, highlighting a gap between changing prospect behavior and current measurement practices.
How centralized are marketing decisions across different departments and the greater institution?
36% of higher ed marketers report that their continuing and online education unit leads the SEO strategy, with some input from the college or university. Another 27% say their continuing and online education unit manages it entirely. Meanwhile, 18% report that the college or university leads the strategy with some input from the continuing and online education unit, and another 18% say both share the responsibility equally.
What percentage of higher education marketers have an established SEO strategy?
Although 84% of higher ed marketers view SEO as a core part of their marketing strategy, only 47% have an established SEO strategy. Higher education SEO marketing statistics reveal that the other 2% are unsure.
What are the most common SEO metrics universities track?
Online and continuing education marketers primarily track web traffic (93%) for their programs, followed by traffic sources (89%), organic visits (85%), page time (70%), and bounce rates (69%).
How important is SEO reporting to higher education leaders/administrators?
While 62% of university leaders want consistent reporting on SEO, only 31% receive regular updates. 33% of higher ed marketers report on metrics monthly, 24% quarterly, 8% every six months, and 10% annually.
How often do higher education marketers reassess their SEO strategies?
50% of higher ed marketers say their unit reviews the SEO strategy and execution for their continuing and online education programs quarterly. 18% reassess their strategy every six months, 14% annually, and 5% every few years.
How many universities track cost per inquiry and cost per enrolled student?
Despite being a key indicator of advertising efficiency, less than half of higher ed marketers track cost per inquiry (46%) and cost per enrolled student (43%).
What is the benchmark for higher education cost per inquiry and cost per enrolled student?
On average, higher education marketers for online and continuing education programs spend $140 to generate each inquiry and $2,849 to enroll each student.
How many higher education marketers are satisfied with the performance of their marketing campaigns?
47% of higher ed marketers express satisfaction with their marketing campaign performance.
How does campaign tracking satisfaction correlate with performance satisfaction?
92% of higher ed marketers who are satisfied with their analytic tracking capabilities also express satisfaction with the performance of their marketing campaigns.
See More Digital Marketing and SEO Data for Higher Education
These higher education marketing benchmarks and data figures help you temperature-check the state of your own marketing strategies. Use them to gauge your performance, inform your core focuses, and ultimately set the stage for enrollment success.
For deeper insights into the data from our Search Influence x UPCEA research, download:
We’re excited to share that Search Influence has been named a Finalist in the Best SEO Campaign category at the 2025 US Agency Awards for our AI-driven campaign, The Art of AI SEO, created in partnership with Maine College of Art & Design (MECA&D).
This recognition marks our second consecutive year of being shortlisted for this category, following our Silver win in 2023 for Best Integrated Campaign, a testament to our continued excellence in SEO, technical strategy, and AI search innovation.
The Nominated Campaign: The Art of AI SEO
MECA&D launched three new online graduate certificate programs into a highly competitive market. To stand out against major universities, the institution needed to increase visibility across both traditional search engines and emerging AI-powered platforms.
Our solution was an AI SEO strategy designed to boost discovery, strengthen authority, and drive enrollment.
Our Strategy at a Glance
AI Search Visibility
We structured site content using semantic signals, schema markup, and clear topical architecture to ensure AI systems could retrieve and cite MECA&D pages.
Conversion-Focused Program Pages
We added video content, clarified messaging, and strengthened user pathways to support prospective students at every decision point.
Content Development
We produced keyword-driven blogs, instructor spotlights, and high-salience pages that positioned MECA&D as an authoritative voice.
The Results
Our AI-optimized SEO strategy fueled exceptional performance:
77% above enrollment goals
171% increase in website sessions
3,894% growth in ranking keywords
Today, MECA&D’s Arts Education, Expressive Arts Therapy, and Arts Leadership programs all appear in AI search engines, a major competitive advantage as generative results reshape student search behaviors.
As MECA&D’s Associate Dean of Online Learning, Heather Holland, shared:
“Our online programs exceeded enrollment targets by 65% in less than a year.”
Leading AI SEO for Higher Education
As a higher education digital marketing agency, Search Influence is at the forefront of AI search strategy. Our team combines decades of higher ed SEO experience with deep expertise in AI content structuring, generative search visibility, and technical optimization.
Our CEO and Co-Founder, Will Scott, is a national thought leader in AI SEO and the instructor of an SMX Master Class on Generative Engine Optimization. Our approach has been grounded in semantic SEO and structured data since the earliest days of the Knowledge Graph, long before AI Overviews made structured content essential.
We help higher education institutions:
Build full-funnel SEO strategies tied to enrollment goals
Improve program visibility in AI and organic search
Develop content ecosystems designed for both humans and AI systems
Strengthen authority through structured data, internal linking, and topic clusters
2025 AI Search in Higher Education Research Study
This announcement follows the release of our 2025 AI Search in Higher Education Study, which uncovers how prospective students use AI tools to research programs, evaluate institutions, and form their initial consideration sets.
Higher ed marketers can access the full report to understand:
Which AI tools prospects use most
How AI citations influence credibility
What strategies institutions need to stay visible
Looking Ahead
We’re honored to be recognized by the US Agency Awards and grateful to MECA&D for their partnership. As AI search reshapes visibility, Search Influence remains committed to helping colleges and universities compete and win in this new era of search.
If you’re ready to strengthen your AI SEO strategy, our team is here to help you lead. Contact us today to learn more.
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