Overview Leaderboard Methodology
Industry Report

Electric Cars

Passenger electric and plug-in hybrid vehicle brands.

Brands tracked: 45
Brands analyzed: 45
Last updated: 2026-04-22
Model: OpenAI GPT-5
Prompts: 335
Total responses: 1,750
Top Brand Overall?
Tesla
94/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Tesla
88

Highest score on the LBA metric.

Authority Leader?
Tesla
94

Highest score on the Authority metric.

TOM Leader?
Tesla
100

Highest score on the TOM metric.

Tesla is the default answer in AI responses for Electric Cars

Tesla and Hyundai together dominate AI responses for Electric 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 45 Electric Cars brands ranked

Ranked by overall AI Visibility Score (geometric mean of LBA, Authority, and TOM). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
Tesla
tesla.com
 88
94
100
94
2
Hyundai
hyundai.com
 84
81
93
86
3
Kia
kia.com
 88
58
87
76
4
Chevrolet
chevrolet.com
 80
35
53
53
5
BMW
bmw.com
 85
22
69
51
6
Ford
ford.com
 83
20
71
49
7
Mercedes-Benz
mercedes-benz.com
 87
10
43
34
8
LUCID
lucidmattress.com
 72
13
32
31
9
Rivian
rivian.com
 75
8
40
29
10
Volkswagen
vw.com
 78
3
33
20
11
Lexus
lexus.com
 82
4
8
14
12
BYD
byd.com
 85
1
8
9
13
Genesis
genesis.com
 74
4
2
9
14
Polestar
polestar.com
 67
1
10
8
15
Porsche
porsche.com
 87
0
7
6
16
Audi
audi.com
 79
1
1
5
17
Honda
honda.com
 83
0
3
1
18
NIO
nio.com
 72
0
1
1
19
XPeng
xpeng.com
 67
0
1
1
20
Aion
gacaion.com
 60
0
0
0
21
A
AITO
aito-auto.com
 59
0
0
0
22
Arcfox
arcfox.com.cn
 47
0
0
0
23
Automobili Pininfarina
automobili-pininfarina.com
 56
0
0
0
24
Avatr
avatr.com
 59
0
0
0
25
C
Canoo
canoo.com
 50
0
0
0
26
Care by Volvo
volvocars.com
 48
0
0
0
27
Crown
toyota.com
 7
0
0
0
28
Denza
denza.com
 59
0
0
0
29
ElectraMeccanica
electrameccanica.com
 42
0
0
0
30
Faraday Future
ff.com
 43
0
0
0
31
Fisker
fiskerinc.com
 50
0
0
0
32
HiPhi
hiphi.com
 56
0
0
0
33
IM Motors
immotors.com
 52
0
0
0
34
Leapmotor
leapmotor.net
 48
0
0
0
35
Li Auto
li.auto
 73
0
0
0
36
Lotus
lotus-watches.com
 64
0
0
0
37
Lynk & Co
lynkco.com
 54
0
0
0
38
ORA
oraev.com
 49
0
0
0
39
President
nissan-global.com
 8
0
0
0
40
Rimac
rimac-automobili.com
 77
0
0
0
41
S
Seres
seres.com
 32
0
0
0
42
Smart
smart.com
 55
0
0
0
43
VinFast
vinfastauto.com
 52
0
0
0
44
V
Voyah
voyah.com.cn
 49
0
0
0
45
Zeekr
zeekrglobal.com
 68
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 335 shared Electric 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
Geometric mean of LBA, Authority and TOM: (LBA × Authority × TOM)^(1/3). Geometric mean is used so that any single weak metric pulls the overall score down, rather than being masked by strength elsewhere.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 335 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 →