AI search is already writing your university's reputation

A parent in Lagos asks an AI assistant which UK universities are strongest for engineering and good value. A research director in Singapore asks which European institutions lead on climate science. A sixth former asks whether a particular university is a good place to study psychology. In each case, an answer arrives in seconds, often without a single click through to a university website.

That answer is now one of the most influential summaries of your institution that exists. It’s written by a machine, drawing on whatever it can find about you, and most universities have very little idea what it says.

Why this changes the reputation game

For twenty years, universities have optimised for search engines that returned a list of links. You could compete for the top spots, and the user still arrived on your page, where you controlled the story. AI answers work differently. They summarise, compare and recommend. They might mention you, describe you inaccurately or leave you out entirely, and the user may never see your own words.

The sources these systems rely on also look different. Clear, factual content on your own site matters, but so do rankings, news coverage, independent reviews, Wikipedia, academic profiles and what other people say about you online. In other words, AI search rewards exactly the things a strong reputation strategy should already be building.

What an AI assistant says about your university is fast becoming one of the most influential summaries of you that exists.

What I’d ask every marketing director to do

Check what’s being said. Ask the main AI assistants the questions your priority audiences are asking, in the markets that matter to you, and record the answers. Do it every month. It’s the quickest way to understand where perception and reality have drifted apart.

Fix the facts at source. Many of the errors I’ve seen come from outdated or inconsistent information: old programme pages, conflicting statistics, a profile that hasn’t been updated in years. Clean, consistent, well-structured information across your own channels is the foundation.

Earn third-party proof. AI systems lean heavily on what others say. Strong media coverage, credible partnerships, independent recognition and active academic profiles all strengthen how you’re represented. This is reputation work in its truest sense, and it can’t be faked.

Answer the real questions. Students ask about cost, safety, graduate jobs and what life is genuinely like. Content that answers those questions plainly, with evidence, is far more likely to be used in an AI answer than another page of aspirational copy.

Give it an owner. Like social media a decade ago, AI search often falls between teams. Someone needs to be responsible for monitoring it, reporting on it and coordinating the response.

The opportunity

It would be easy to see this as another threat. I see it the other way round. AI search rewards institutions that are clear about who they are, consistent in how they describe themselves and genuinely respected by others. Those are the same qualities that have always built lasting reputations. The difference is that the gap between the institutions doing this well and those that aren’t is about to become much more visible.

This is one of the topics I’m most looking forward to exploring with guests on Season 2 of the podcast, because the teams experimenting now will set the standard for everyone else.

Jonathan Sabarre FCIM MBA is Principal Consultant at QS Quacquarelli Symonds, a keynote speaker and host of Marketing Greats in Higher Education. Get the weekly email or invite him to speak.