Electric Cars,
according to AI
Every week we ask ChatGPT, Claude and Gemini the questions real UK consumers ask about electric cars — and record exactly which brands they put forward. Right now, Tesla owns the conversation.
0 AI answers this run · 0 brands named · measured, never estimated
Tesla is the default answer.
Named in 45% of electric cars answers, typically in position 1.8. Kia follows at 25%, Volkswagen at 18%.
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 | Tesla | 45% | 1.8 | 33% | 33% |
| 2 | Kia | 25% | 4.3 | 6% | 33% |
| 3 | Volkswagen | 18% | 4.7 | 6% | 0% |
| 4 | Smart | 17% | 2.0 | 0% | — |
| 5 | Hyundai | 17% | 3.3 | 6% | 0% |
| 6 | Renault | 15% | 2.2 | 0% | 0% |
| 7 | Skoda | 13% | 3.6 | 11% | 33% |
| 8 | BMW | 13% | 4.1 | 6% | 33% |
| 9 | Ford | 10% | 4.2 | 6% | — |
| 10 | Mercedes-Benz | 8% | 2.8 | 6% | 33% |
| 11 | Polestar | 8% | 2.8 | 11% | 15% |
| 12 | Nissan | 8% | 4.8 | 0% | — |
| 13 | Peugeot | 8% | 7.0 | 0% | 0% |
| 14 | Porsche | 7% | 1.5 | 6% | 20% |
| 15 | Audi | 7% | 6.3 | 0% | — |
Electric Cars is decided on attraction.
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 electric cars, Porsche leads attraction at 128 against Vauxhall at 71, indexed on the category at 100.
Each whorl lights one ring per index threshold cleared. See the full electric cars desire edition →
Before it answers, it goes looking for Tesla.
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 82 searches in electric cars, Tesla is named in 33% 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 electric cars.
The independent sources AI models cite when answering electric cars questions — the places a brand needs to be seen, reviewed and ranked.
Tesla converts reads into citations. Polestar doesn't.
When Claude or ChatGPT opens a brand's own pages while answering, does the page make the cited-sources list? Tesla converts 33% of reads; Polestar just 15%. That gap is a content problem, not a visibility problem.
Full data table
| # | Brand | Visibility | Avg. position | Citation share | Read→cited |
|---|---|---|---|---|---|
| 1 | Tesla | 45% | 1.8 | 33% | 33% |
| 2 | Kia | 25% | 4.3 | 6% | 33% |
| 3 | Volkswagen | 18% | 4.7 | 6% | 0% |
| 4 | Smart | 17% | 2.0 | 0% | — |
| 5 | Hyundai | 17% | 3.3 | 6% | 0% |
| 6 | Renault | 15% | 2.2 | 0% | 0% |
| 7 | Skoda | 13% | 3.6 | 11% | 33% |
| 8 | BMW | 13% | 4.1 | 6% | 33% |
| 9 | Ford | 10% | 4.2 | 6% | — |
| 10 | Mercedes-Benz | 8% | 2.8 | 6% | 33% |
| 11 | Polestar | 8% | 2.8 | 11% | 15% |
| 12 | Nissan | 8% | 4.8 | 0% | — |
| 13 | Peugeot | 8% | 7.0 | 0% | 0% |
| 14 | Porsche | 7% | 1.5 | 6% | 20% |
| 15 | Audi | 7% | 6.3 | 0% | — |
All three models agree: Tesla.
A rare consensus — every model puts Tesla first, and their top-five lists overlap 25%. Winning here means winning everywhere at once.
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 |
|---|---|---|---|---|
| Kia | 10% | 45% | 20% | 35pp |
| Tesla | 35% | 65% | 35% | 30pp |
| Volkswagen | 10% | 35% | 10% | 25pp |
| Smart | 5% | 30% | 15% | 25pp |
| Skoda | 5% | 25% | 10% | 20pp |
| Audi | 0% | 20% | 0% | 20pp |
| Hyundai | 15% | 25% | 10% | 15pp |
| Ford | 5% | 20% | 5% | 15pp |
| Peugeot | 0% | 15% | 10% | 15pp |
| BMW | 10% | 20% | 10% | 10pp |
Editorial carry electric cars.
Every page AI opened while answering, classified by what kind of page it is. Editorial supply the most citations; How-to guides convert best — 93% of the ones models opened were actually cited.
The data behind this chart
| Page type | Cited | Read but not cited | Conversion |
|---|---|---|---|
| Editorial | 98 | 16 | 86% |
| How-to guides | 85 | 6 | 93% |
| Comparisons | 39 | 3 | 93% |
| Listicles | 36 | 3 | 92% |
| News | 28 | 6 | 82% |
| pricing | 27 | 5 | 84% |
| Documentation | 24 | 15 | 62% |
| spec-sheet | 20 | 3 | 87% |
Specifications is what separates cited from ignored.
Of the electric cars 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 15pp 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 |
|---|---|---|---|---|---|
| Specifications | 158 | 91% | 368 | 82% | +8pp |
| Answer up front | 289 | 88% | 237 | 80% | +8pp |
| Structured data | 226 | 89% | 300 | 81% | +8pp |
| Named author | 264 | 88% | 262 | 82% | +6pp |
| Comparison table | 172 | 85% | 354 | 84% | +0pp |
| Updated this year | 199 | 84% | 327 | 85% | -1pp |
| Hard statistics | 276 | 83% | 250 | 86% | -3pp |
| Cites its sources | 30 | 70% | 496 | 85% | -15pp |
Mercedes-Benz 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. Volkswagen is the widest gap: well-built pages that still aren't converting into citations.
| Brand | Readiness | Pages cited | Pages profiled |
|---|---|---|---|
| Mercedes-Benz | 41 | 75% | 4 |
| Volkswagen | 40 | 0% | 5 |
| Porsche | 39 | 3% | 37 |
| BMW | 38 | 67% | 3 |
| Kia | 34 | 4% | 110 |
| Polestar | 33 | 11% | 18 |
| Nissan | 29 | 0% | 3 |
| Hyundai | 28 | 64% | 11 |
| Renault | 26 | 1% | 97 |
| BYD | 13 | 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.
The questions electric cars 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 Thu, 10 Sep 2026 06:37:30 GMT.