Prospective students are increasingly asking AI tools which programs, schools, and degrees are right for them. But even when an institution performs well in traditional search, AI tools may rely on rankings sites, aggregators, or other third-party sources instead of the university itself.
Higher education faces a particular challenge. Program information is often spread across central websites, colleges, departments, and other institutional domains, while third-party sites package the same information in a way that is easy for AI systems to find and cite.
In this session, RDA and Michigan State University will share practical approaches for improving visibility in AI search. The discussion will cover how to strengthen program content, establish clearer authority across decentralized sites, create governance that can scale across a large institution, and measure whether those efforts are improving AI visibility over time.
Key takeaways:
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