How Marketers are Winning With AI-Powered Search

Search Has Changed. Has Your Strategy?

Paid search marketing has always played a central role in how students find and engage with colleges and universities. But how students search and what they expect from the experience has fundamentally changed. Today’s Modern Learners are digital-first and highly discerning, which raises the stakes for any higher education marketing strategy, especially when it comes to search visibility. Modern Learners are not just typing in keywords; they’re asking complex questions and increasingly expect fast, relevant answers that feel tailored to their individual goals.

In this new reality, search is no longer just a tool; it is your institution’s reputational front door. For many students, the first impression comes from your search presence—whether your institution appears at all, and what shows up when it does. This moment shapes how they perceive your brand and can influence their decision to engage further.

With advancements such as Google’s AI Overview and AI Mode, the line between paid and organic results is disappearing. These features pull from multiple sources to deliver a single, curated response designed to satisfy intent rather than merely match keywords. This means your search strategy can no longer operate in silos. Paid and organic efforts must work in tandem, and both need to be structured around how students actually search, not how institutions are used to marketing.

Yet, many institutions still rely on legacy paid search strategies that are fragmented and overly focused on isolated keywords. These outdated tactics often miss the nuance of modern search behavior, leading to underperformance and missed opportunities.

This is especially critical during a time when marketing budgets are under pressure and visibility is harder to earn. To remain competitive, higher ed marketers need to reimagine paid search not as a list of bid terms or ad placements, but as a strategic channel that influences both enrollment outcomes and institutional reputation. What’s at stake isn’t just performance. It’s how your brand is perceived in the channels that matter most.

Intent Is the New Currency of Paid Search 

Paid search has long been valued for its ability to deliver results quickly and cost-effectively. But in today’s environment, true efficiency means more than just driving volume through simply targeting the right keywords. Today, successful campaigns are built around understanding and aligning with the why behind a student’s search, not just the what.

That’s where intent becomes essential. Intent reveals what a prospective student is trying to accomplish, what stage of the decision process they’re in and what they expect from their educational experiences. With today’s AI-powered platforms, marketers can now interpret and respond to this intent with greater precision than ever before.

Modern tools like Performance Max—Google’s fully automated, goal-based ad campaign—and Broad Match—its flexible keyword matching option—draw from a range of real-time signals like device type, browsing behavior, location, and time of day. These platforms use that context to determine not just who to reach, but how and when to deliver the most relevant message.

This shift is especially important when engaging adult and online learners. These prospective students often search in short, focused bursts across devices and platforms. Intent-based targeting helps ensure your message appears at the right moment, when a prospective student is most open to taking the next step.

The benefit goes beyond smarter targeting. Institutions that embrace intent-based strategies often see improved efficiency, stronger lead quality and a higher return on investment. More importantly, they’re creating a search experience that meets students where they are.

For higher education marketers, this requires a mindset shift. Paid search is no longer about chasing keywords or building lengthy lists of terms. It’s about reading behavior, responding with context and building relevance. Those who adapt to this new model will be better positioned to influence outcomes and build lasting brand reputations.

Why Over-Segmentation Hurts AI Performance 

Aligning with student intent requires more than new tools—it requires rethinking how campaigns are structured. That’s where over-segmentation becomes a critical barrier. Not long ago, higher education marketing professionals found success by keeping campaigns tightly focused. You’d build detailed audience segments, carefully tailor your messaging and control every aspect of targeting. It worked well in a time when more control often meant better results.

That playbook doesn’t hold up in today’s AI-driven paid media environment. In fact, over segmentation actively holds your campaigns back.

AI performs best when it’s given space to learn and optimize. It needs strong signals, such as first-party data, clear conversion goals and smart bidding strategies, to work effectively. Overly narrow targeting and rigid parameters create inefficiencies and limit performance.

That’s why marketers should focus less on segmentation and more on supplying clear, meaningful data that helps AI reach the right students and drive outcomes like increased inquiries and stronger application intent. 

At the same time, student journeys have changed. Modern Learners aren’t moving through the funnel in linear paths. Ther research process is fast-paced and shaped by real-life pressures like work schedules, finances and family responsibilities.  

Prospective students don’t just want more content—they want information that’s relevant to their needs and arrives when it matters most. Modern paid media strategies must move beyond simple demographics to focus on behaviors, intent and how students search. 

Transforming Strategy Into Results

As search evolves, so too must the role of the higher ed marketer. In today’s AI-driven landscape, students are exploring their options in more nuanced ways. To keep pace, marketing strategies must shift from keyword-first thinking to approaches that prioritize context, content and the student journey. Here’s how forward-thinking teams are putting that into action:

Smarter, Simpler Campaign Structures for Effective Paid Search Strategy

AI works best when it has strong signals to learn from. That means it’s often more effective to group campaigns by intent rather than breaking them up by individual programs or markets. For example, grouping similar programs together can help your budget go further by focusing on where there’s actual search demand, even if it means less control over specific program-level results.

Content That Works Harder

When you’re working in a keywordless environment, your content does the targeting. Search platforms rely on your landing pages, headlines and descriptions to understand what you offer and who you want to reach. That’s why clear, relevant content is critical.  The schools seeing the best results are the ones creating content that aligns with what students are actually searching for. 

Making the Most of First-Party Data 

Performance Max campaigns are especially powerful when they’re fueled by high-quality first-party data. Feeding in enrollment signals, audience segments and behavioral insights allows AI to deliver more personalized outreach across platforms. This enhances reach and efficiency without compromising targeting precision.

Scaling with AI Max and Broad Match 

New tools like AI Max are opening doors to even more automation. AI Max combines broad match, keywordless targeting and AI-generated creative to help schools reach students in AI-driven placements. Paired with the right paid search strategy, Broad Match helps your content appear in the natural, conversational queries students actually use. 

Aligning Paid and Organic Strategies  

The strongest higher education marketing strategies bring paid search marketing and seo and website marketing under one roof. When teams align on landing pages, keywords and messaging, both channels amplify each other—driving more qualified traffic, improving conversions and boosting visibility across search results. This gives AI clearer context and helps create a smoother experience for students. 

Continuous Testing and Learning 

AI doesn’t mean putting things on autopilot. The best results come when marketers stay involved—testing creative, improving landing pages and updating their audience signals. All of that helps the AI learn and get better over time. 

When campaigns are built around clear intent and fueled by rich data and relevant content, AI moves beyond automation—it becomes a strategic partner. This empowers institutions to reach the right students with precision, reduce wasted spend and create meaningful connections that drive enrollment success.