Every week we ask ChatGPT, Claude and Gemini the questions real UK consumers ask about budget hotels — and record exactly which brands they put forward. Right now, Premier Inn owns the conversation.
0 AI answers this run · 0 brands named · measured, never estimated
Named in 40% of budget hotels answers, typically in position 1.6. Travelodge follows at 37%, ibis at 23%.
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 | Premier Inn | 40% | 1.6 | 39% | 20% |
| 2 | Travelodge | 37% | 2.1 | 28% | 0% |
| 3 | ibis | 23% | 3.2 | 11% | 0% |
| 4 | easyHotel | 13% | 3.0 | 22% | — |
| 5 | Point A Hotels | 5% | 2.7 | 0% | — |
| 6 | Holiday Inn | 5% | 4.3 | 0% | — |
| 7 | Holiday Inn Express | 5% | 5.3 | 0% | 0% |
| 8 | The Pilgrm | 2% | 1.0 | 0% | — |
| 9 | Bloc Hotels | 2% | 2.0 | 0% | — |
| 10 | Crowne Plaza | 2% | 2.0 | 0% | — |
| 11 | jury's Inn | 2% | 3.0 | 0% | — |
| 12 | Hampton by Hilton | 2% | 4.0 | 0% | — |
| 13 | Z Hotels | 2% | 6.0 | 0% | — |
| 14 | Mercure | 0% | — | 0% | — |
| 15 | Novotel | 0% | — | 0% | — |
Being named is visibility. Underneath it, asked to rate each brand directly, the AI assistants judge it three ways — how much it stands out, how much it belongs, and how much it is returned to. They put 14% of the 28 brands rated above indifference. Premier Inn leads the brands the answers name, at 71% of maximum Desire. On attachment, the most divided driver, Premier Inn indexes 124 against Premier Lodge at 68, on a category average of 100.
Each whorl lights one ring per index threshold cleared (84 / 92 / 100 / 108 / 116). Above indifference means Desire above two-thirds of its maximum. See the full budget hotels 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 43 searches in budget hotels, Premier Inn is named in 47% of the ones that name a brand at all. ChatGPT Web, Copilot do not report their 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 budget hotels 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? Premier Inn converts 20% of reads. That gap is a content problem, not a visibility problem.
| # | Brand | Visibility | Avg. position | Citation share | Read→cited |
|---|---|---|---|---|---|
| 1 | Premier Inn | 40% | 1.6 | 39% | 20% |
| 2 | Travelodge | 37% | 2.1 | 28% | 0% |
| 3 | ibis | 23% | 3.2 | 11% | 0% |
| 4 | easyHotel | 13% | 3.0 | 22% | — |
| 5 | Point A Hotels | 5% | 2.7 | 0% | — |
| 6 | Holiday Inn | 5% | 4.3 | 0% | — |
| 7 | Holiday Inn Express | 5% | 5.3 | 0% | 0% |
| 8 | The Pilgrm | 2% | 1.0 | 0% | — |
| 9 | Bloc Hotels | 2% | 2.0 | 0% | — |
| 10 | Crowne Plaza | 2% | 2.0 | 0% | — |
| 11 | jury's Inn | 2% | 3.0 | 0% | — |
| 12 | Hampton by Hilton | 2% | 4.0 | 0% | — |
| 13 | Z Hotels | 2% | 6.0 | 0% | — |
| 14 | Mercure | 0% | — | 0% | — |
| 15 | Novotel | 0% | — | 0% | — |
A rare consensus — every model puts Premier Inn first, and their top-five lists overlap 38%. Winning here means winning everywhere at once.
Brands whose visibility swings most between models — the bar per model, widest gap on the right.
| Brand | Claude | Gemini | ChatGPT | Spread |
|---|---|---|---|---|
| Travelodge | 35% | 65% | 10% | 55pp |
| Premier Inn | 40% | 65% | 15% | 50pp |
| ibis | 10% | 50% | 10% | 40pp |
| easyHotel | 0% | 30% | 10% | 30pp |
| Holiday Inn Express | 5% | 10% | 0% | 10pp |
| Holiday Inn | 5% | 10% | 0% | 10pp |
| Crowne Plaza | 5% | 0% | 0% | 5pp |
| jury's Inn | 5% | 0% | 0% | 5pp |
| The Pilgrm | 5% | 0% | 0% | 5pp |
| Z Hotels | 0% | 5% | 0% | 5pp |
Every page AI opened while answering, classified by what kind of page it is. How-to guides supply the most citations; faq convert best — 89% of the ones models opened were actually cited.
| Page type | Cited | Read but not cited | Conversion |
|---|---|---|---|
| How-to guides | 68 | 25 | 73% |
| Editorial | 59 | 27 | 69% |
| Community threads | 25 | 35 | 42% |
| Product pages | 21 | 6 | 78% |
| faq | 17 | 2 | 89% |
| Listicles | 16 | 17 | 48% |
| category-page | 12 | 7 | 63% |
| Comparisons | 11 | 3 | 79% |
Of the budget hotels pages models actually opened, how much more often each feature's pages ended up in the cited sources. Structured data is worth 17 percentage points; hard statistics pages fare 15pp worse. Measured within the read population, so selection can't flatter it.
| Feature | Pages with | Cited % | Pages without | Cited % | Difference |
|---|---|---|---|---|---|
| Structured data | 172 | 69% | 269 | 52% | +17pp |
| Answer up front | 212 | 63% | 229 | 54% | +9pp |
| Updated this year | 99 | 64% | 342 | 57% | +7pp |
| Named author | 162 | 59% | 279 | 58% | +1pp |
| Comparison table | 65 | 58% | 376 | 58% | +0pp |
| Hard statistics | 97 | 46% | 344 | 62% | -15pp |
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. easyHotel is the widest gap: well-built pages that still aren't converting into citations.
| Brand | Readiness | Pages cited | Pages profiled |
|---|---|---|---|
| easyHotel | 24 | 0% | 29 |
| Travelodge | 21 | 6% | 198 |
| Z Hotels | 20 | 0% | 25 |
| ibis | 18 | 1% | 158 |
| Premier Inn | 17 | 14% | 156 |
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, 17 Oct 2026 13:01:32 GMT.