Where you stand when an applicant asks an AI

A student asks ChatGPT where to study. Is your university in the answer?

Meridian Standing asks ChatGPT, Gemini and Perplexity the questions applicants actually type, every week. It shows where your university stands against the peers you compete with, market by market, and what to fix first.

Free and personalisedAgainst the competitors you nameNo student data or system access
Discovery share of voice
Business master's · Europe
ChatGPT · Perplexity · Gemini
Share of answers that name the school when the question names no school at all, so the AI chooses whom to recommend.
  1. HEC Paris79.2%
  2. SDA Bocconi78.0%
  3. INSEAD76.2%
  4. IESE Business School69.6%
  5. London Business School66.1%
  6. Esade Business School63.1%
  7. Example school7.7%
Example school: rank 27 of 49 · 7.7% against a field leader at 79.2%
168 answers · 22 Sep 2026
Why now

Applicants now ask an AI engine first. Most universities have never checked the answer.

46%

of students used AI tools in their college search in late 2025, up from 26% six months earlier.1

18%

had already ruled out an institution because of what an AI told them.1

3 of 7

European schools we checked were not named once when applicants asked for recommendations. Not ranked low: absent.2

1 EAB survey of 5,000+ US high-school students, late 2025. 2 Meridian run of 22 September 2026: open discovery questions on ChatGPT, Gemini and Perplexity.

How Meridian works

We ask what applicants ask. Then we read every answer.

Applicants don't type a school's name into ChatGPT. They ask where to study. So that is what we ask, in their words, from their country, on the three engines they use, and then we read each answer the way an applicant would, line by line.

  1. 01 · The questions

    Written the way applicants write

    Short, informal, sometimes misspelled: the questions applicants actually type, for your subjects and the countries you recruit from.

    • Questions that name no school, so the engine chooses whom to recommend
    • Questions about your school by name, and the same questions about each of your competitors, word for word
    • Head-to-heads asked in both orders
  2. 02 · The engines

    Asked on ChatGPT, Gemini and Perplexity

    Each with live web search switched on, as an applicant uses them. When a question is asked from a country, the engine's location is set to that country. Every engine is measured on its own, because each one reads different websites.

  3. 03 · The reading

    Every answer, read in full

    For each answer we record which schools are named and in what order, every website it cites, and every opinion it gives: about which school, on which of 17 topics, positive, neutral or negative, with the exact sentence kept.

  4. 04 · The checks

    Checked before you see it

    School names are matched by hand-audited rules, so another university's mentions are never counted as yours. An independent reader checks a sample of the opinions against the original answers, and every criticism shown to you is checked against the answer it came from. Small samples are flagged, not dressed up.

One question from the bank

"I'm from India and want to do an MBA in Europe. Which business schools should I be looking at?"

BusinessAsked from IndiaNames no schoolAll three engines
  • NamedEvery school in the answer, in the order it appears
  • SourcesEvery website the engine cites, so you know what it read
  • OpinionsEach statement about a school: topic, tone and the exact words
  • FactsFees, deadlines and figures the engine states, checked against the facts you confirm
Why so many questions

One answer is an anecdote: ask ChatGPT twice and you can get two different lists. Our question bank holds more than 3,000 questions, and a report only states what holds up across them.

Every percentage in your report traces back to the answers behind it, and every quote is copied word for word. Nothing paraphrased is ever put in quotation marks.

The Meridian Report

Four parts, every Friday.

Every weekly change is shown next to the measured noise between runs, so a small wobble is never presented as a trend.

  1. Part 1

    Your university on its own

    How often each engine names you when the applicant names no school, what engines say when asked about you by name, and the facts they state about you.

  2. Part 2

    Against your competitors

    Your share of answers next to 5–8 named peers, per engine and per applicant market. Who is named first, and who takes the mentions that should be yours.

  3. Part 3

    What to do

    A short list of actions in order of importance: the websites each engine reads where you are missing, and the facts engines get wrong.

  4. Part 4

    Ranking assessment

    How your QS and THE positions are represented, and whether engines still repeat outdated rankings from old pages.

IncludedWeekly reportMonthly walkthroughQuarterly reviewAlerts when a competitor overtakes you
Further services

Go further where it matters to you.

Each service builds on the weekly measurement. Add one at the start or later, as your team needs it.

Website ready for AI

One-off

Make your own pages the source engines quote.

  • A page-by-page check of whether your site states what applicants ask (fees, deadlines, entry requirements, accreditation) in a form engines can read
  • Ready-to-paste fact blocks for your web team

Useful when engines quote your fees from an agency site instead of yours.

Fact watch

Ongoing

Know the week an engine gets a fact wrong.

  • An alert when ChatGPT, Gemini or Perplexity states a wrong fee, deadline or accreditation about you
  • The exact sentence, the website it came from and how to get it corrected

Useful when outdated tuition or an old ranking keeps coming back.

Social and forum profile

Ongoing

See the threads and videos engines repeat.

  • The Reddit, YouTube and Facebook pages engines cite about you, and what they say
  • Where each criticism started, so your team can respond at the source

Useful when engines repeat a complaint you thought was settled.

AI referral traffic

Read-only

Connect visibility to real visitors.

  • How many visitors reach your site from ChatGPT, Gemini and Perplexity, and the pages they land on
  • A read-only Google Analytics connection, nothing else

Useful when leadership asks whether AI visibility shows up in enquiries.

Market opportunity radar

Yearly

Find the countries where no competitor owns the answer yet.

  • Applicant markets where demand is rising and your peers are not yet named by default
  • Search interest and student mobility by country, in one view

Useful when planning next year's recruitment budget by country.

Wider benchmark

Flexible

Measure more of what you compete on.

  • Extra competitors or programmes in the weekly run
  • Questions in German and other languages, asked the way local applicants ask

Useful when you recruit heavily in non-English-speaking markets.

Ask about further services

Method

Numbers a dean can defend.

A single answer from ChatGPT is an anecdote. Ask it yourself and you will get a different one. We ask thousands of questions every week and report only what holds up across them.

The same questions for everyone

Every school is scored on identical questions that name no school, so the comparison with your peers is fair.

Statistics, not impressions

Confidence intervals and significance tests on every comparison. Where the sample is too small, the report says so.

The exact words, with their source

Every finding links to the sentence the engine wrote and the website it drew on.

Independent

We take no money from any website that appears in our data, and we sell no placements. Nobody can buy a better result.

Pricing

One annual subscription, scoped to you.

For a single faculty or a whole university. The price depends on the number of programmes, competitors and applicant markets. Our first schools join on founding terms.

FAQ

What universities ask us first.

Meridian Standing is the AI visibility benchmark for European universities. It measures how often ChatGPT, Gemini and Perplexity recommend a university to prospective students, compared with named competitors, and tells the university what to fix.

What is AI visibility for a university?
How often, and how favourably, AI engines such as ChatGPT, Gemini and Perplexity name your university when a prospective student asks for recommendations without naming any school.
How is this different from SEO?
SEO measures where your pages rank in Google results. AI visibility measures whether an engine puts you in its answer at all, and what it says about you. The two often disagree.
If I ask ChatGPT myself, will I get the same answer?
Probably not exactly. Answers vary from one asking to the next, by account history and by the country a question is framed for. That is why Meridian asks thousands of questions every week and reports only what holds up across them.
Which engines do you measure?
ChatGPT, Gemini and Perplexity, each measured separately, because each one relies on different sources.
Who is Meridian for?
International recruitment, marketing and admissions teams at universities and business schools that recruit internationally, for a single faculty or the whole institution.
Do you need access to our systems or student data?
No. We analyse public engine answers. The optional AI referral traffic service uses a read-only Google Analytics connection.
Can you guarantee our visibility will go up?
No. The engines decide what they recommend. We show what they read and where you are missing, and the weekly run shows whether a change made a difference, either way.
Free sample report

See where you stand before your applicants do.

Tell us who you are. We run your university through ChatGPT, Gemini and Perplexity against the competitors you name, and walk you through the result, with what to fix first, in a short online call.

  • Personalised to your programmes and competitors
  • Walked through with you in a short online call
  • No student data or access to your systems
Where does your university stand?Request sample report