AI Marketing Services for Higher Education

AI marketing for higher education covers two things that now work together instead of separately.

The first is using AI tools to ruGenerative Engine Optimization, or GEO, is how we get your institution cited inside tools like ChatGPT, Perplexity, and Bing Copilot instead of just ranked on Google. For higher ed, that starts with prompt mapping: studying the actual conversational questions prospective students ask, like "what's the difference between an MSW and an MPH" or "best online RN to BSN programs for working adults," and building content around those exact questions rather than generic keyword phrases.

From there, we restructure your program and admissions pages so AI models can actually extract and cite them: clear definitions near the top, scannable program comparisons, and a heading structure that mirrors how a student would ask the question out loud. We also handle the technical side, including schema markup for programs, faculty, and outcomes, so the models have clean data to work from instead of guessing.

n smarter enrollment campaigns: predictive models that flag which prospects are likely to apply, automated audience segmentation by program interest, and paid media that adjusts in real time instead of waiting for a weekly report.

The second, and the part most higher education marketing teams are behind on, is optimizing your institution's visibility inside AI platforms themselves. 

When a parent asks Claude to compare financial aid packages, or a transfer student asks ChatGPT which schools accept the most credits from a community college, an AI model generates an answer and cites a handful of sources. If your program pages, admissions content, and outcomes data aren't structured for that, a competing school gets cited instead. You don't lose that student to a bad ad. You lost them before you ever knew they were looking.

PBJ treats these as one discipline, not two separate line items. Your paid media, your SEO, and your AI visibility all feed the same funnel: getting the right prospective student to find your institution at the moment they're deciding where to apply.

Before we optimize anything, we find out where your institution actually stands. Our AI Visibility Audits test real prompts, the ones prospective students and their parents are actually typing, across ChatGPT, Claude, Gemini, and Perplexity, and document whether your school shows up, how accurately it's described, and which competing institutions get mentioned instead.

For a university, that might mean testing "top physical therapy doctorate programs in the Northeast" or "small liberal arts colleges with strong study abroad." The audit tells you exactly where you're missing, where a competitor is winning the citation, and what specific content gap is causing it. No guesswork, no generic recommendations. Just a prioritized list of what to fix first.

Paid media for higher ed still runs on Google Search, Meta, Instagram, and increasingly TikTok, but the targeting and optimization behind it has changed. We use AI-informed audience modeling to identify which prospects are likely to apply based on behavior patterns, not just demographics, and we adjust budget pacing around your actual application cycle instead of spreading spend evenly across the year.

This is the same strategic approach that drove real results for our education clients:

At Mercy University, we increased applicants from Google Search by 97% and grew branded search applicants 159% year over year, while cutting cost per applicant by 18%. 

Read Our Mercy University Case Study.

At the University of Maryland, we rebuilt a failing campaign from scratch and generated 91 leads in 15 days at a fraction of the previous cost per lead, a strategy that now accounts for half of all enrolled students in that program.

Read Our University of Maryland Case Study

OpenAI began testing ads inside ChatGPT in early 2026, and by that spring had opened access to any advertiser. These ads appear below AI-generated responses on ChatGPT's Free and Go tiers, clearly labeled as sponsored, and matched to the context of the conversation rather than traditional behavioral targeting.

For higher ed, this is a genuinely new place to reach a prospective student mid-research, while they're actively asking about programs, career outcomes, or financial aid, not after the fact through a retargeting banner. PBJ is already testing this channel for early-adopter clients so your institution isn't the last one figuring it out once every competitor has already claimed the placements that matter.

None of the above works if AI crawlers can't access or parse your site. Technical AI SEO covers the infrastructure layer: making sure bots like GPTBot, ClaudeBot, and PerplexityBot can actually crawl your program pages, that your robots.txt and meta directives aren't accidentally blocking them, and that your site architecture doesn't bury admissions content five clicks deep.

We also audit and fix structured data across your site, including organization, FAQ, and Course schema, and clean up outdated metadata that can confuse a model into citing an old program page instead of your current one. This is unglamorous work. It's also the foundation everything else in this list depends on.