Overview Leaderboard Methodology
Industry Report

Luxury Electric Vehicles

High-end battery-electric and plug-in-hybrid models from premium automakers offering advanced technology, performance, and upscale amenities.

Brands tracked: 30
Brands analyzed: 30
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 245
Total responses: 1,225
Top Brand Overall?
BMW
90/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Mercedes-Benz
95

Highest score on the LBA metric in this industry.

Authority Leader?
BMW
100

Highest score on the Authority metric in this industry.

TOM Leader?
LUCID
100

Highest score on the TOM metric in this industry.

BMW is the default answer in AI responses for Luxury Electric Vehicles

BMW and Mercedes-Benz together dominate AI responses for Luxury Electric Vehicles. Both brands consistently surface unprompted, with the model treating them as the default answers for most category queries. Brands outside the top two face a structural disadvantage: users are usually given these two before the model even considers alternatives.

Brand Leaderboard All 30 Luxury Electric Vehicles brands ranked

Ranked by overall AI Visibility Score (smoothed geometric mean of LBA, Authority, and TOM with an LBA-based floor on Authority and TOM, see methodology). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
BMW
bmw.com
 81
100
90
90
2
Mercedes-Benz
mercedes-benz.com
 95
68
97
86
3
LUCID
lucidmattress.com
 74
53
100
73
4
Porsche
porsche.com
 94
38
87
68
5
Audi
audi.com
 85
40
80
65
6
Tesla
tesla.com
 82
34
85
62
7
Cadillac
cadillac.com
 79
21
46
43
8
Genesis
genesis.com
 74
21
39
40
9
Rivian
rivian.com
 71
7
47
31
10
Lexus
lexus.com
 86
9
9
21
11
Jaguar
jaguar.com
 65
7
14
20
12
Rolls-Royce
rolls-roycemotorcars.com
 82
8
9
20
13
Rimac
rimac-automobili.com
 73
7
7
18
14
Automobili Pininfarina
automobili-pininfarina.com
 70
7
7
17
15
Lotus
lotus-watches.com
 70
7
7
17
16
NIO
nio.com
 71
7
7
17
17
Polestar
polestar.com
 69
7
7
17
18
Yangwang
yangwangauto.com
 67
7
7
17
19
Ferrari
ferrari.com
 65
6
6
16
20
Zeekr
zeekrglobal.com
 65
6
6
16
21
Bentley
bentleymotors.com
 62
6
6
15
22
Denza
denza.com
 59
6
6
15
23
H
Hongqi
hongqi-auto.com
 62
6
6
15
24
Maserati
maserati.com
 60
6
6
15
25
Avatr
avatr.com
 54
5
5
14
26
Care by Volvo
volvocars.com
 53
5
5
13
27
McLaren
mclaren.com
 50
5
6
13
28
V
Voyah
voyah.com.cn
 51
5
5
13
29
Karma Automotive
karmaautomotive.com
 48
5
5
12
30
Faraday Future
ff.com
 42
4
4
11

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 245 shared Luxury Electric Vehicles prompts. The same prompts, same model, same iterations. So differences in scores reflect actual differences in AI visibility, not differences in measurement.

Overall AI Visibility Score
Smoothed geometric mean of LBA, Authority and TOM. Authority and TOM are floored at LBA × 0.1 before the geometric mean (the same floor used in the per-metric cards above, so brand cards and the composite tell the same story). Formula: composite = ((LBA + 5)(Authority + 5)(TOM + 5))^(1/3) - 5. The floor keeps brands the model clearly recognises but doesn't yet recommend from collapsing to zero, while a single genuinely weak metric still pulls the composite down. Full methodology.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 245 category prompts (e.g. "best SEO tools for agencies"). This makes brand-to-brand comparisons valid - everyone faces identical inputs. LBA prompts are per-brand because they ask brand-specific questions.
Latent Brand Association (LBA)
5 brand probes + 1 control prompt, each run 5 times in recall mode (no web search). LBA = quality × meta × stability × share × recognition × 100. Read the full LBA methodology →
LLM Authority
50 organic category prompts (discovery, comparison, problem and transactional intents), each run once in recall mode and once in retrieval mode. Score = frequency × log-decayed prominence × intent weight, then 50/50 averaged across the two modes. Read the full Authority methodology →
Top of Mind (TOM)
15 high-volume discovery prompts (sourced from Keywords Everywhere search-volume data), each run 5 times in pure recall mode (no web). Score = frequency × (0.5 + 0.5 × log-prominence), volume-weighted. Read the full TOM methodology →