Every week we ask ChatGPT, Claude and Gemini the questions real UK consumers ask about watches & jewellery — and record exactly which brands they put forward. Right now, Rolex owns the conversation.
0 AI answers this run · 0 brands named · measured, never estimated
Named in 30% of watches & jewellery answers, typically in position 1.4. Omega follows at 20%, Patek Philippe at 20%.
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 | Rolex | 30% | 1.4 | 13% | 17% |
| 2 | Omega | 20% | 2.1 | 0% | — |
| 3 | Patek Philippe | 20% | 3.9 | 0% | — |
| 4 | Cartier | 17% | 4.4 | 13% | 18% |
| 5 | Seiko | 8% | 4.6 | 7% | 25% |
| 6 | Tudor | 8% | 4.8 | 0% | 0% |
| 7 | Audemars Piguet | 8% | 5.2 | 7% | 100% |
| 8 | IWC Schaffhausen | 7% | 4.8 | 13% | 67% |
| 9 | Jaeger-LeCoultre | 7% | 5.3 | 7% | — |
| 10 | Breguet | 5% | 1.0 | 0% | 0% |
| 11 | Junghans | 5% | 1.7 | 0% | 0% |
| 12 | Nomos Glashütte | 5% | 1.7 | 7% | 25% |
| 13 | Grand Seiko | 5% | 3.3 | 7% | 11% |
| 14 | Longines | 5% | 3.3 | 13% | 22% |
| 15 | Breitling | 5% | 3.7 | 7% | 20% |
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 watches & jewellery, A. Lange & Söhne leads attraction at 115 against Bremont at 82, indexed on the category at 100.
Each whorl lights one ring per index threshold cleared. See the full watches & jewellery desire edition →
The independent sources AI models cite when answering watches & jewellery 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? IWC Schaffhausen converts 67% of reads; Junghans just 0%. That gap is a content problem, not a visibility problem.
| # | Brand | Visibility | Avg. position | Citation share | Read→cited |
|---|---|---|---|---|---|
| 1 | Rolex | 30% | 1.4 | 13% | 17% |
| 2 | Omega | 20% | 2.1 | 0% | — |
| 3 | Patek Philippe | 20% | 3.9 | 0% | — |
| 4 | Cartier | 17% | 4.4 | 13% | 18% |
| 5 | Seiko | 8% | 4.6 | 7% | 25% |
| 6 | Tudor | 8% | 4.8 | 0% | 0% |
| 7 | Audemars Piguet | 8% | 5.2 | 7% | 100% |
| 8 | IWC Schaffhausen | 7% | 4.8 | 13% | 67% |
| 9 | Jaeger-LeCoultre | 7% | 5.3 | 7% | — |
| 10 | Breguet | 5% | 1.0 | 0% | 0% |
| 11 | Junghans | 5% | 1.7 | 0% | 0% |
| 12 | Nomos Glashütte | 5% | 1.7 | 7% | 25% |
| 13 | Grand Seiko | 5% | 3.3 | 7% | 11% |
| 14 | Longines | 5% | 3.3 | 13% | 22% |
| 15 | Breitling | 5% | 3.7 | 7% | 20% |
A rare consensus — every model puts Rolex 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 |
|---|---|---|---|---|
| Patek Philippe | 10% | 30% | 20% | 20pp |
| Cartier | 5% | 20% | 25% | 20pp |
| TAG Heuer | 0% | 15% | 0% | 15pp |
| Audemars Piguet | 0% | 10% | 15% | 15pp |
| Rolex | 25% | 30% | 35% | 10pp |
| Omega | 15% | 25% | 20% | 10pp |
| Grand Seiko | 0% | 10% | 5% | 10pp |
| Vacheron Constantin | 0% | 10% | 0% | 10pp |
| Longines | 0% | 5% | 10% | 10pp |
| Breitling | 0% | 5% | 10% | 10pp |
Every page AI opened while answering, classified by what kind of page it is. Editorial supply the most citations; Community threads convert best — 100% of the ones models opened were actually cited.
| Page type | Cited | Read but not cited | Conversion |
|---|---|---|---|
| Editorial | 71 | 25 | 74% |
| How-to guides | 40 | 7 | 85% |
| Product pages | 16 | 2 | 89% |
| Listicles | 13 | 1 | 93% |
| Other | 12 | 8 | 60% |
| Comparisons | 11 | 6 | 65% |
| Community threads | 9 | 0 | 100% |
| category-page | 8 | 0 | 100% |
Of the watches & jewellery pages models actually opened, how much more often each feature's pages ended up in the cited sources. Specifications is worth 8 percentage points; cites its sources pages fare 62pp worse. Measured within the read population, so selection can't flatter it.
| Feature | Pages with | Cited % | Pages without | Cited % | Difference |
|---|---|---|---|---|---|
| Specifications | 26 | 85% | 248 | 77% | +8pp |
| Structured data | 225 | 79% | 49 | 73% | +5pp |
| Named author | 171 | 74% | 103 | 83% | -9pp |
| Answer up front | 143 | 71% | 131 | 85% | -15pp |
| Hard statistics | 63 | 63% | 211 | 82% | -18pp |
| Updated this year | 91 | 62% | 183 | 86% | -24pp |
| Comparison table | 55 | 42% | 219 | 87% | -45pp |
| Cites its sources | 27 | 22% | 247 | 84% | -62pp |
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. Set against how often those pages are actually cited.
| Brand | Readiness | Pages cited | Pages profiled |
|---|---|---|---|
| Rolex | 21 | 67% | 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 Wed, 02 Sep 2026 10:21:07 GMT.