Universities,
according to AI
Every week we ask ChatGPT, Claude and Gemini the questions real UK consumers ask about universities — and record exactly which brands they put forward. Right now, University of Oxford owns the conversation.
0 AI answers this run · 0 brands named · measured, never estimated
University of Oxford is the default answer.
Named in 22% of universities answers, typically in position 1.3. University of Cambridge follows at 20%, University of Edinburgh at 17%.
Every brand AI names, ranked.
Visibility is the share of answers naming the brand; citation share is its slice of all brand-owned pages cited; read→cited is how often its pages convert a read into a citation.
| # | Brand | Visibility | Avg. position | Citation share | Read→cited |
|---|---|---|---|---|---|
| 1 | University of Oxford | 22% | 1.3 | 6% | 50% |
| 2 | University of Cambridge | 20% | 2.2 | 9% | 0% |
| 3 | University of Edinburgh | 17% | 5.4 | 13% | 0% |
| 4 | Imperial College London | 13% | 2.6 | 3% | 100% |
| 5 | University College London | 13% | 4.4 | 6% | 0% |
| 6 | London School of Economics and Political Science | 12% | 6.9 | 0% | — |
| 7 | University of Warwick | 12% | 7.9 | 3% | 100% |
| 8 | University of St Andrews | 10% | 8.3 | 0% | — |
| 9 | University of Manchester | 8% | 7.8 | 3% | 0% |
| 10 | Durham University | 8% | 10.2 | 0% | — |
| 11 | King's College London | 7% | 5.8 | 9% | 0% |
| 12 | University of Glasgow | 7% | 8.5 | 0% | 0% |
| 13 | University of Bristol | 7% | 9.0 | 13% | 50% |
| 14 | University of Leeds | 5% | 8.0 | 0% | 0% |
| 15 | University of York | 3% | 2.5 | 3% | 0% |
University of Oxford is named most. That is not the same as being wanted.
Being named is visibility. Underneath it, every answer describes a brand in three ways — how much it stands out, how much it belongs, and how much it is returned to. In universities, University of Oxford leads attraction at 132 against University of Edinburgh at 113, indexed on the category at 100.
Each whorl lights one ring per index threshold cleared. See the full universities desire edition →
Before it answers, it goes looking for Imperial College London.
An assistant does not answer from memory alone. It runs its own web searches first, and whoever it searches for is the shortlist it then chooses from. Across 66 searches in universities, Imperial College London is named in 20% of the ones that name a brand at all. ChatGPT Web does not report its searches, so these shares are measured against the ones that do.
These are the assistants' own searches, read from their answers — not what anyone typed into a search engine.
The referees of universities.
The independent sources AI models cite when answering universities questions — the places a brand needs to be seen, reviewed and ranked.
University College London converts reads into citations.
When Claude or ChatGPT opens a brand's own pages while answering, does the page make the cited-sources list? University College London converts 0% of reads. That gap is a content problem, not a visibility problem.
Full data table
| # | Brand | Visibility | Avg. position | Citation share | Read→cited |
|---|---|---|---|---|---|
| 1 | University of Oxford | 22% | 1.3 | 6% | 50% |
| 2 | University of Cambridge | 20% | 2.2 | 9% | 0% |
| 3 | University of Edinburgh | 17% | 5.4 | 13% | 0% |
| 4 | Imperial College London | 13% | 2.6 | 3% | 100% |
| 5 | University College London | 13% | 4.4 | 6% | 0% |
| 6 | London School of Economics and Political Science | 12% | 6.9 | 0% | — |
| 7 | University of Warwick | 12% | 7.9 | 3% | 100% |
| 8 | University of St Andrews | 10% | 8.3 | 0% | — |
| 9 | University of Manchester | 8% | 7.8 | 3% | 0% |
| 10 | Durham University | 8% | 10.2 | 0% | — |
| 11 | King's College London | 7% | 5.8 | 9% | 0% |
| 12 | University of Glasgow | 7% | 8.5 | 0% | 0% |
| 13 | University of Bristol | 7% | 9.0 | 13% | 50% |
| 14 | University of Leeds | 5% | 8.0 | 0% | 0% |
| 15 | University of York | 3% | 2.5 | 3% | 0% |
The models do not agree on who leads.
Ask about universities and the brand you are shown depends on the assistant: Claude → University of Oxford, Gemini → University of Oxford, ChatGPT → University of Cambridge. Their top-five lists share just 43% of names.
Brands whose visibility swings most between models — the bar per model, widest gap on the right.
The data behind this chart
| Brand | Claude | Gemini | ChatGPT | Spread |
|---|---|---|---|---|
| Durham University | 0% | 10% | 15% | 15pp |
| University of Edinburgh | 20% | 20% | 10% | 10pp |
| University of Glasgow | 10% | 0% | 10% | 10pp |
| King's College London | 10% | 10% | 0% | 10pp |
| University of Bristol | 0% | 10% | 10% | 10pp |
| University of Sheffield | 0% | 10% | 0% | 10pp |
| University of Leeds | 0% | 10% | 5% | 10pp |
| University of Birmingham | 0% | 0% | 10% | 10pp |
| University of Southampton | 0% | 0% | 10% | 10pp |
| University of Oxford | 20% | 25% | 20% | 5pp |
Editorial carry universities.
Every page AI opened while answering, classified by what kind of page it is. Editorial supply the most citations; How-to guides convert best — 84% of the ones models opened were actually cited.
The data behind this chart
| Page type | Cited | Read but not cited | Conversion |
|---|---|---|---|
| Editorial | 51 | 19 | 73% |
| How-to guides | 43 | 8 | 84% |
| Documentation | 21 | 14 | 60% |
| Listicles | 10 | 4 | 71% |
| Other | 9 | 13 | 41% |
| News | 9 | 3 | 75% |
| original-research | 6 | 4 | 60% |
| Community threads | 4 | 6 | 40% |
Structured data is what separates cited from ignored.
Of the universities pages models actually opened, how much more often each feature's pages ended up in the cited sources. Structured data is worth 29 percentage points; cites its sources pages fare 21pp worse. Measured within the read population, so selection can't flatter it.
The data behind this chart
| Feature | Pages with | Cited % | Pages without | Cited % | Difference |
|---|---|---|---|---|---|
| Structured data | 185 | 80% | 88 | 51% | +29pp |
| Named author | 127 | 84% | 146 | 59% | +25pp |
| Updated this year | 124 | 73% | 149 | 69% | +3pp |
| Answer up front | 150 | 71% | 123 | 71% | -0pp |
| Hard statistics | 91 | 64% | 182 | 74% | -10pp |
| Comparison table | 63 | 56% | 210 | 75% | -20pp |
| Cites its sources | 25 | 52% | 248 | 73% | -21pp |
University of London builds pages AI can quote.
Readiness scores each brand's own pages on the structure models reward — a direct answer up front, tables, hard numbers, named authors, structured data, recency, specifications. University of Southampton is the widest gap: well-built pages that still aren't converting into citations.
| Brand | Readiness | Pages cited | Pages profiled |
|---|---|---|---|
| University of London | 56 | 25% | 4 |
| University of Southampton | 46 | 0% | 7 |
| University of Exeter | 34 | 25% | 4 |
| Newcastle University | 34 | 9% | 11 |
| King's College London | 29 | 33% | 6 |
| University of Cambridge | 27 | 2% | 95 |
| University of York | 26 | 6% | 18 |
| University of Birmingham | 26 | 0% | 11 |
| University of Bristol | 25 | 33% | 9 |
| Lancaster University | 25 | 0% | 4 |
Readiness is the share of eight measurable structural signals present on a brand's profiled pages. It is a build-quality measure, not a ranking of the brand.
The questions universities pages have to settle.
Read straight off the pages AI cited: the consumer questions cited content answers most often. Content that fails to settle these is content models have no reason to quote.
Nineteen more categories.
Method: 20 unbranded consumer prompts per category, spread across the buying journey, run weekly against ChatGPT, Claude and Gemini. Read→cited uses Claude and ChatGPT only (Gemini does not separate the two). Correlational observations of model behaviour at the time of the run. Data from the run completed Wed, 09 Sep 2026 08:42:13 GMT.