Every week we ask ChatGPT, Claude and Gemini the questions real UK consumers ask about online learning — and record exactly which brands they put forward. Right now, Coursera owns the conversation.
0 AI answers this run · 0 brands named · measured, never estimated
Named in 33% of online learning answers, typically in position 2.1. LinkedIn Learning follows at 18%, Udemy at 18%.
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 | Coursera | 33% | 2.1 | 14% | 50% |
| 2 | LinkedIn Learning | 18% | 2.6 | 2% | 7% |
| 3 | Udemy | 18% | 2.7 | 4% | 50% |
| 4 | FutureLearn | 10% | 3.0 | 8% | 38% |
| 5 | edX | 10% | 3.5 | 0% | 0% |
| 6 | Open University | 8% | 1.8 | 4% | 13% |
| 7 | Khan Academy | 7% | 4.5 | 0% | — |
| 8 | Solihull Approach | 5% | 1.0 | 0% | — |
| 9 | British Council | 5% | 2.3 | 8% | 18% |
| 10 | Preply | 5% | 2.7 | 4% | 50% |
| 11 | Alison | 5% | 3.3 | 6% | 100% |
| 12 | The School of UX | 3% | 1.5 | 6% | 50% |
| 13 | HubSpot Academy | 3% | 2.0 | 0% | — |
| 14 | The Skills Network | 3% | 2.0 | 0% | — |
| 15 | Triple P | 3% | 2.0 | 2% | — |
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 online learning, MasterClass leads attraction at 130 against JobSkilla at 72, indexed on the category at 100.
Each whorl lights one ring per index threshold cleared. See the full online learning desire edition →
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 59 searches in online learning, FutureLearn is named in 22% 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 independent sources AI models cite when answering online learning questions — the places a brand needs to be seen, reviewed and ranked.
When Claude or ChatGPT opens a brand's own pages while answering, does the page make the cited-sources list? Alison converts 100% of reads; LinkedIn Learning just 7%. That gap is a content problem, not a visibility problem.
| # | Brand | Visibility | Avg. position | Citation share | Read→cited |
|---|---|---|---|---|---|
| 1 | Coursera | 33% | 2.1 | 14% | 50% |
| 2 | LinkedIn Learning | 18% | 2.6 | 2% | 7% |
| 3 | Udemy | 18% | 2.7 | 4% | 50% |
| 4 | FutureLearn | 10% | 3.0 | 8% | 38% |
| 5 | edX | 10% | 3.5 | 0% | 0% |
| 6 | Open University | 8% | 1.8 | 4% | 13% |
| 7 | Khan Academy | 7% | 4.5 | 0% | — |
| 8 | Solihull Approach | 5% | 1.0 | 0% | — |
| 9 | British Council | 5% | 2.3 | 8% | 18% |
| 10 | Preply | 5% | 2.7 | 4% | 50% |
| 11 | Alison | 5% | 3.3 | 6% | 100% |
| 12 | The School of UX | 3% | 1.5 | 6% | 50% |
| 13 | HubSpot Academy | 3% | 2.0 | 0% | — |
| 14 | The Skills Network | 3% | 2.0 | 0% | — |
| 15 | Triple P | 3% | 2.0 | 2% | — |
Ask about online learning and the brand you are shown depends on the assistant: Claude → Coursera, Gemini → Coursera, ChatGPT → Udemy. Their top-five lists share just 38% of names.
Brands whose visibility swings most between models — the bar per model, widest gap on the right.
| Brand | Claude | Gemini | ChatGPT | Spread |
|---|---|---|---|---|
| Coursera | 35% | 40% | 25% | 15pp |
| Udemy | 20% | 10% | 25% | 15pp |
| Alison | 15% | 0% | 0% | 15pp |
| edX | 10% | 15% | 5% | 10pp |
| Codecademy | 10% | 0% | 0% | 10pp |
| Open University | 5% | 15% | 5% | 10pp |
| British Council | 0% | 10% | 5% | 10pp |
| LinkedIn Learning | 15% | 20% | 20% | 5pp |
| Khan Academy | 10% | 5% | 5% | 5pp |
| Treehouse | 5% | 0% | 0% | 5pp |
Every page AI opened while answering, classified by what kind of page it is. Editorial supply the most citations; Comparisons convert best — 100% of the ones models opened were actually cited.
| Page type | Cited | Read but not cited | Conversion |
|---|---|---|---|
| Editorial | 44 | 14 | 76% |
| Product pages | 41 | 6 | 87% |
| Listicles | 23 | 2 | 92% |
| How-to guides | 19 | 1 | 95% |
| Comparisons | 18 | 0 | 100% |
| category-page | 16 | 0 | 100% |
| Documentation | 13 | 8 | 62% |
| Other | 13 | 14 | 48% |
Of the online learning pages models actually opened, how much more often each feature's pages ended up in the cited sources. Structured data is worth 16 percentage points; hard statistics pages fare 16pp worse. Measured within the read population, so selection can't flatter it.
| Feature | Pages with | Cited % | Pages without | Cited % | Difference |
|---|---|---|---|---|---|
| Structured data | 178 | 86% | 100 | 70% | +16pp |
| Named author | 120 | 84% | 158 | 77% | +7pp |
| Answer up front | 137 | 81% | 141 | 79% | +2pp |
| Comparison table | 50 | 74% | 228 | 82% | -8pp |
| Updated this year | 115 | 71% | 163 | 87% | -15pp |
| Hard statistics | 69 | 68% | 209 | 84% | -16pp |
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. edX is the widest gap: well-built pages that still aren't converting into citations.
| Brand | Readiness | Pages cited | Pages profiled |
|---|---|---|---|
| Arden University | 42 | 33% | 3 |
| edX | 41 | 0% | 4 |
| Great Learning | 41 | 25% | 4 |
| freeCodeCamp | 34 | 0% | 4 |
| Preply | 34 | 75% | 4 |
| Simplilearn | 33 | 0% | 3 |
| UX Academy | 29 | 14% | 7 |
| Coursera | 25 | 5% | 129 |
| LinkedIn Learning | 23 | 2% | 127 |
| Virtual College | 21 | 33% | 3 |
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.
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.
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 Sat, 12 Sep 2026 07:01:01 GMT.