Luxury SUVs & 4x4s,
according to AI
Every week we ask ChatGPT, Claude and Gemini the questions real UK consumers ask about luxury suvs & 4x4s — and record exactly which brands they put forward. Right now, Mercedes-Benz owns the conversation.
0 AI answers this run · 0 brands named · measured, never estimated
Mercedes-Benz is the default answer.
Named in 37% of luxury suvs & 4x4s answers, typically in position 3.1. BMW follows at 35%, Porsche at 25%.
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 | Mercedes-Benz | 37% | 3.1 | 10% | 33% |
| 2 | BMW | 35% | 2.3 | 14% | 23% |
| 3 | Porsche | 25% | 2.3 | 0% | — |
| 4 | Land Rover | 23% | 2.1 | 33% | 14% |
| 5 | Audi | 23% | 3.2 | 10% | 33% |
| 6 | Bentley | 13% | 3.4 | 5% | 25% |
| 7 | Volvo | 13% | 6.1 | 0% | 0% |
| 8 | Toyota | 12% | 3.6 | 10% | 20% |
| 9 | Ford | 10% | 3.2 | 5% | 50% |
| 10 | Aston Martin | 10% | 3.7 | 0% | — |
| 11 | Volkswagen | 8% | 3.6 | 0% | — |
| 12 | Kia | 7% | 1.3 | 0% | — |
| 13 | Rolls-Royce | 7% | 1.5 | 5% | 33% |
| 14 | Lamborghini | 7% | 5.8 | 0% | — |
| 15 | Ineos | 5% | 2.7 | 5% | — |
Mercedes-Benz 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 luxury suvs & 4x4s, Rolls-Royce leads attraction at 135 against Infiniti at 83, indexed on the category at 100.
Each whorl lights one ring per index threshold cleared. See the full luxury suvs & 4x4s desire edition →
The referees of luxury suvs & 4x4s.
The independent sources AI models cite when answering luxury suvs & 4x4s questions — the places a brand needs to be seen, reviewed and ranked.
Mercedes-Benz converts reads into citations. Volvo doesn't.
When Claude or ChatGPT opens a brand's own pages while answering, does the page make the cited-sources list? Mercedes-Benz converts 33% of reads; Volvo just 0%. That gap is a content problem, not a visibility problem.
Full data table
| # | Brand | Visibility | Avg. position | Citation share | Read→cited |
|---|---|---|---|---|---|
| 1 | Mercedes-Benz | 37% | 3.1 | 10% | 33% |
| 2 | BMW | 35% | 2.3 | 14% | 23% |
| 3 | Porsche | 25% | 2.3 | 0% | — |
| 4 | Land Rover | 23% | 2.1 | 33% | 14% |
| 5 | Audi | 23% | 3.2 | 10% | 33% |
| 6 | Bentley | 13% | 3.4 | 5% | 25% |
| 7 | Volvo | 13% | 6.1 | 0% | 0% |
| 8 | Toyota | 12% | 3.6 | 10% | 20% |
| 9 | Ford | 10% | 3.2 | 5% | 50% |
| 10 | Aston Martin | 10% | 3.7 | 0% | — |
| 11 | Volkswagen | 8% | 3.6 | 0% | — |
| 12 | Kia | 7% | 1.3 | 0% | — |
| 13 | Rolls-Royce | 7% | 1.5 | 5% | 33% |
| 14 | Lamborghini | 7% | 5.8 | 0% | — |
| 15 | Ineos | 5% | 2.7 | 5% | — |
The models do not agree on who leads.
Ask about luxury suvs & 4x4s and the brand you are shown depends on the assistant: Claude → BMW, Gemini → Mercedes-Benz, ChatGPT → Mercedes-Benz. Their top-five lists share just 67% 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 |
|---|---|---|---|---|
| Porsche | 5% | 50% | 20% | 45pp |
| Mercedes-Benz | 20% | 60% | 30% | 40pp |
| BMW | 25% | 55% | 25% | 30pp |
| Volvo | 5% | 25% | 10% | 20pp |
| Audi | 15% | 30% | 25% | 15pp |
| Toyota | 10% | 20% | 5% | 15pp |
| Bentley | 5% | 20% | 15% | 15pp |
| Rolls-Royce | 0% | 15% | 5% | 15pp |
| Land Rover | 20% | 30% | 20% | 10pp |
| Ford | 10% | 15% | 5% | 10pp |
Editorial carry luxury suvs & 4x4s.
Every page AI opened while answering, classified by what kind of page it is. Editorial supply the most citations; Listicles convert best — 100% of the ones models opened were actually cited.
The data behind this chart
| Page type | Cited | Read but not cited | Conversion |
|---|---|---|---|
| Editorial | 67 | 4 | 94% |
| How-to guides | 57 | 2 | 97% |
| Listicles | 40 | 0 | 100% |
| Product pages | 20 | 3 | 87% |
| Reviews | 14 | 1 | 93% |
| Comparisons | 13 | 0 | 100% |
| Other | 12 | 3 | 80% |
| Documentation | 11 | 0 | 100% |
Named author is what separates cited from ignored.
Of the luxury suvs & 4x4s pages models actually opened, how much more often each feature's pages ended up in the cited sources. Named author is worth 2 percentage points; updated this year pages fare 4pp 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 |
|---|---|---|---|---|---|
| Named author | 149 | 95% | 135 | 93% | +2pp |
| Structured data | 242 | 95% | 42 | 93% | +2pp |
| Answer up front | 127 | 95% | 157 | 94% | +2pp |
| Comparison table | 76 | 95% | 208 | 94% | +1pp |
| Specifications | 101 | 94% | 183 | 95% | -0pp |
| Hard statistics | 86 | 92% | 198 | 95% | -4pp |
| Updated this year | 82 | 91% | 202 | 96% | -4pp |
Toyota 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. Hyundai is the widest gap: well-built pages that still aren't converting into citations.
| Brand | Readiness | Pages cited | Pages profiled |
|---|---|---|---|
| Toyota | 47 | 50% | 4 |
| Hyundai | 42 | 0% | 3 |
| BMW | 31 | 9% | 35 |
| Kia | 28 | 0% | 4 |
| Mercedes-Benz | 28 | 25% | 4 |
| Porsche | 26 | 0% | 102 |
| Jeep | 25 | 0% | 3 |
| Ineos | 23 | 17% | 6 |
| Land Rover | 22 | 6% | 104 |
| Audi | 13 | 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.
The questions luxury suvs & 4x4s 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, 02 Sep 2026 09:45:19 GMT.