Overview Leaderboard Methodology
Industry Report

Electric Passenger Cars

Battery-electric sedans, hatchbacks, and compact SUVs sold to general consumers by automotive marques competing on range, performance, price, and features.

Brands tracked: 34
Brands analyzed: 34
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 266
Total responses: 1,359
Top Brand Overall?
Tesla
85/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Mercedes-Benz
99

Highest score on the LBA metric in this industry.

Authority Leader?
Tesla
68

Highest score on the Authority metric in this industry.

TOM Leader?
Tesla
100

Highest score on the TOM metric in this industry.

Tesla is the default answer in AI responses for Electric Passenger Cars

Tesla and Hyundai together dominate AI responses for Electric Passenger Cars. 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 34 Electric Passenger Cars 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
Tesla
tesla.com
 91
68
100
85
2
Hyundai
hyundai.com
 87
66
90
80
3
Kia
kia.com
 90
30
71
58
4
BMW
bmw.com
 86
17
61
46
5
Chevrolet
chevrolet.com
 75
59
19
45
6
Mercedes-Benz
mercedes-benz.com
 99
10
52
40
7
Volkswagen
vw.com
 85
9
39
33
8
LUCID
lucidmattress.com
 71
7
41
30
9
BYD
byd.com
 83
8
22
27
10
Polestar
polestar.com
 72
7
23
25
11
MINI
mini.com
 75
14
7
22
12
Renault
renault.com
 82
8
8
20
13
Peugeot
peugeot.com
 78
8
8
19
14
Rivian
rivian.com
 66
7
11
19
15
M
MG
mgmotor.com
 74
7
7
18
16
NIO
nio.com
 72
7
7
18
17
CUPRA
cupraofficial.com
 71
7
7
17
18
Opel
opel.com
 70
7
7
17
19
XPeng
xpeng.com
 71
7
7
17
20
Zeekr
zeekrglobal.com
 67
7
7
17
21
Aion
gacaion.com
 66
7
7
16
22
IM Motors
immotors.com
 61
6
6
15
23
Smart
smart.com
 62
6
6
15
24
DS Automobiles
dsautomobiles.com
 54
5
5
14
25
VinFast
vinfastauto.com
 57
6
6
14
26
Avatr
avatr.com
 52
5
5
13
27
Care by Volvo
volvocars.com
 52
5
5
13
28
Fisker
fiskerinc.com
 52
5
5
13
29
Leapmotor
leapmotor.net
 50
5
5
13
30
ORA
oraev.com
 51
5
5
13
31
V
Voyah
voyah.com.cn
 53
5
5
13
32
Deepal
deepal.com.cn
 46
5
5
12
33
S
Seres
seres.com
 42
4
4
11
34
President
nissan-global.com
 7
1
1
2

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 266 shared Electric Passenger Cars 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 266 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 →