{"id":2816,"date":"2026-02-04T23:23:49","date_gmt":"2026-02-04T15:23:49","guid":{"rendered":"http:\/\/longzhuplatform.com\/?p=2816"},"modified":"2026-02-04T23:23:49","modified_gmt":"2026-02-04T15:23:49","slug":"what-higher-ed-data-shows-about-seo-visibility-and-ai-search","status":"publish","type":"post","link":"http:\/\/longzhuplatform.com\/?p=2816","title":{"rendered":"What higher ed data shows about SEO visibility and AI search"},"content":{"rendered":"

<\/p>

AI search hasn\u2019t killed SEO.<\/p>

Now you have to win twice: the ranking and the citation.<\/p>

Google searches for almost anything today, and there\u2019s a good chance you\u2019ll see an AI Overview before the organic results, sometimes even before the ads.\u00a0<\/p>

That summary frames the query, shortlists sources, and shapes which brands get considered.<\/p>

\"Google\"Google<\/figure> <\/div>

AI Overviews now appear for about 21% of all keywords, according to Ahrefs. And 99.9% are triggered by informational intent.<\/p>

Search rankings still matter. But AI summaries increasingly determine who wins early consideration.<\/p>

Here\u2019s what we\u2019re seeing: brands aren\u2019t losing visibility because they dropped from position three to seven. They\u2019re losing it because they were never cited in the AI answer at all.<\/p>

This article draws on research conducted by Search Influence and the online and professional education association UPCEA, which examined how people use AI-assisted search and how organizations are adapting. (<\/em>Disclosure: <\/em><\/strong>I am the CEO at Search Influence)<\/em>\u00a0<\/p>

Key takeaways<\/strong><\/p>

  • AI citations are becoming a trust signal: <\/strong>Being cited by AI influences credibility and early consideration \u2013 before users ever compare sources directly.<\/li>
  • AI visibility is cumulative:<\/strong> AI systems pull from your website, YouTube, LinkedIn, and third-party publishers to assemble answers. Your URL isn\u2019t the only thing that matters.<\/li>
  • Authority doesn\u2019t guarantee inclusion:<\/strong> Even established brands get sidelined when their content doesn\u2019t match how users ask questions.<\/li>
  • Most organizations know AI search matters but lack a plan:<\/strong> The gap isn\u2019t awareness \u2013 it\u2019s ownership, prioritization, and repeatable process.<\/li>
  • Content structure affects whether you get cited:<\/strong> Pages built for retrieval, comparison, and decision-making outperform narrative or brand-led content.<\/li> <\/ul>

    Examining both sides of the search equation<\/h2>

    To understand what\u2019s happening, we need to look at two sides of the same equation \u2013 how people are searching today and how organizations are responding (or aren\u2019t).<\/p>

    \u201cAI Search in Higher Education: How Prospects Search in 2025\u201d surveyed 760 prospective adult learners in March 2025. It examined:<\/p>

    • Where online discovery happens.<\/li>
    • How AI tools are used alongside traditional search.<\/li>
    • Which sources people trust during early research.<\/li> <\/ul>

      While the study focused on professional and continuing education, these behaviors mirror what we\u2019re seeing across industries: more AI-assisted discovery, earlier opinion formation, and trust signals shifting.<\/p>

      A separate snap poll of 30 UPCEA member institutions in October 2025 looked at the other side:<\/p>

      • AI search strategy adoption.<\/li>
      • Barriers slowing progress.<\/li>
      • How visibility in AI-generated results gets tracked.<\/li> <\/ul>

        Together, these datasets show a widening gap between how people search and how organizations have adapted.<\/p>

        So what does the data actually tell us?<\/p>

        The search patterns worth paying attention to<\/h2>

        The research highlights several search behaviors that consistently influence how people discover and evaluate options today.<\/p>

        AI tools and AI summaries are influencing trust early<\/h3>

        The data makes one thing clear: AI-driven search has moved from the margins into the mainstream.<\/p>

        • 50% of prospective students use AI tools at least weekly.<\/li>
        • 79% read Google\u2019s AI Overviews when they appear.<\/li>
        • 1 in 3 trust AI tools as a source for program research.<\/li>
        • 56% are more likely to trust a brand cited by AI.<\/li> <\/ul>

          Trust is forming earlier now, often before users compare sources directly.<\/p>

          If you\u2019ve been putting off your AI search strategy because \u201cpeople don\u2019t trust AI,\u201d the data says otherwise. AI citations are becoming a credibility signal \u2013 a trust shortcut before deeper research begins.<\/p>

          Search behavior is diversified<\/h3>

          Search doesn\u2019t happen in one place or follow one clean path anymore.<\/p>

          • 84% of prospective students use traditional search engines during research.<\/li>
          • 61% use YouTube.<\/li>
          • 50% use AI tools.<\/li> <\/ul>

            These behaviors aren\u2019t sequential. Users move between surfaces, carrying context with them. <\/p>

            What they see in an AI summary influences how they read a search result. A YouTube video can establish trust before a website ever earns a click.<\/p>

            This is where many strategies fall out of sync. Teams optimize one channel at a time \u2013 usually their website \u2013 and treat everything else as optional.<\/p>

            But AI search engines pull from everywhere your brand has a presence:<\/p>

            • Your website.<\/li>
            • Your YouTube channel.<\/li>
            • Your LinkedIn content.<\/li>
            • Third-party and publisher sites.<\/li> <\/ul>

              Your AI credibility is cumulative. It\u2019s built anywhere your brand shows up, not just where you own the URL.<\/p>

              Search engines and brand-owned websites still matter<\/h3>

              The rise of AI search doesn\u2019t mean the end of traditional search. It raises the bar for it.<\/p>

              Even as AI summaries reshape early trust, people still rely heavily on first-party sources and organic results when they evaluate options:<\/p>

              • 63% rely on brand-owned websites during research.<\/li>
              • 77% trust university-owned websites more than other sources.<\/li>
              • 82% are more likely to consider options that appear on the first page of search results.<\/li> <\/ul>

                AI engines prioritize content that search engines can already crawl, interpret, and trust. <\/p>

                If your core content isn\u2019t clearly structured, accessible, and eligible to rank in traditional search, it\u2019s far less likely to be pulled into AI-generated answers.<\/p>

                Dig deeper: Your website still matters in the age of AI<\/em><\/strong><\/p>

                <\/p>

                Get the newsletter search marketers rely on.<\/p> <\/p><\/div> <\/p><\/div> <\/div>

                <\/p>

                Organizational readiness lags behind<\/h2>

                Most organizations recognize that AI search is reshaping discovery. Far fewer have translated that awareness into coordinated action.<\/p>

                AI search strategy adoption remains uneven<\/h3>

                Most institutions sit somewhere between curiosity and commitment:<\/p>

                • 60% are in the early stages of exploring AI search.<\/li>
                • 30% have a formal AI search strategy in place.<\/li>
                • 10% haven\u2019t started or believe AI search will have limited impact.<\/li> <\/ul>

                  The majority of teams know something important is happening. But ownership, process, and prioritization remain unresolved.<\/p>

                  What\u2019s slowing progress<\/h3>

                  When asked what\u2019s holding them back, institutions cited execution constraints:<\/p>

                  • 70% report limited bandwidth or competing priorities.<\/li>
                  • 37% report a lack of in-house expertise or training.<\/li>
                  • 27% report unclear ROI, leadership buy-in, or uncertainty around how AI search works.<\/li> <\/ul>

                    For many organizations, AI search has entered the roadmap conversation. It just hasn\u2019t earned consistent operational focus yet. (Sound familiar?)<\/p>

                    Dig deeper: Why most SEO failures are organizational, not technical<\/em><\/strong><\/p>

                    What teams say they\u2019re prioritizing<\/h3>

                    When teams do take action, their priorities cluster around two themes:<\/p>

                    • 59% focus on the accuracy of AI-generated information about their offerings.<\/li>
                    • 48% focus on improving visibility and competitive positioning.<\/li> <\/ul>

                      Those goals are linked. Clear, structured information makes it easier for AI systems to represent a brand. Visibility follows clarity. When that clarity is missing, AI fills in the blanks using third-party sources and competitor content.<\/p>

                      Tracking AI visibility remains inconsistent<\/h3>

                      AI visibility tracking varies widely:<\/p>

                      • 57% know their institution appears in AI-generated answers.<\/li>
                      • 27% have seen their brand referenced occasionally but don\u2019t actively monitor it.<\/li>
                      • 13% are unsure whether they appear in AI-generated responses at all.<\/li> <\/ul>

                        Among teams that do track AI visibility:<\/p>

                        • 64% use dedicated tools or formal tracking methods.<\/li>
                        • 29% rely on informal checks or don\u2019t track consistently.<\/li> <\/ul>

                          This creates a familiar blind spot. Teams feel the impact of AI search anecdotally but lack consistent visibility into where, how, and why their brand appears.<\/p>

                          \"UPCEA\"UPCEA