Overview Leaderboard Methodology
Industry Report

Midsize Sedans

Four-door passenger cars balancing interior space and fuel economy, commonly sold by mainstream automotive brands.

Brands tracked: 33
Brands analyzed: 33
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 263
Total responses: 1,330
Top Brand Overall?
Honda
95/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Honda
91

Highest score on the LBA metric in this industry.

Authority Leader?
Honda
100

Highest score on the Authority metric in this industry.

TOM Leader?
Honda
94

Highest score on the TOM metric in this industry.

Honda is the default answer in AI responses for Midsize Sedans

When users ask ChatGPT, Claude, or Gemini about Midsize Sedans, Honda is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Hyundai is a close second, but the gap between them is meaningful. If you're competing in this space and you're not in the top handful, you're effectively invisible to AI-driven discovery.

Brand Leaderboard All 33 Midsize Sedans 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
Honda
honda.com
 91
100
94
95
2
Hyundai
hyundai.com
 86
78
84
83
3
Kia
kia.com
 81
41
75
63
4
Nissan
nissan.com
 86
40
40
52
5
Subaru
subaru.co.jp
 78
20
50
44
6
Mazda
mazdausa.com
 77
8
54
34
7
Lexus
lexus.com
 90
12
9
24
8
Acura
acura.com
 88
9
9
21
9
Skoda
skoda-auto.com
 87
9
9
21
10
BYD
byd.com
 77
8
8
19
11
Citroen
citroen.com
 79
8
8
19
12
Buick
buick.com
 74
7
7
18
13
Chevrolet
chevrolet.com
 76
8
8
18
14
Ford
ford.com
 75
7
7
18
15
Opel
opel.com
 74
7
7
18
16
Peugeot
peugeot.com
 76
8
8
18
17
Renault
renault.com
 74
7
7
18
18
Volkswagen
vw.com
 73
7
7
18
19
Dodge
dodge.com
 71
7
7
17
20
Saab
saab.com
 68
7
7
17
21
Chrysler
chrysler.com
 64
6
6
16
22
Crown
toyota.com
 63
6
6
16
23
M
MG
mgmotor.com
 66
7
7
16
24
M
Mitsubishi
mitsubishi-motors.com
 63
6
6
16
25
C
Chery
cheryinternational.com
 61
6
6
15
26
Geely
geely.com
 59
6
6
15
27
Holden
holden.com.au
 61
6
6
15
28
Proton
proton.com
 58
6
6
15
29
Suzuki
suzuki.com
 60
6
6
15
30
Care by Volvo
volvocars.com
 54
5
5
13
31
Eunos
mazda.com
 43
4
4
11
32
Daewoo
daewoo.com
 37
4
4
10
33
President
nissan-global.com
 16
2
2
5

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 263 shared Midsize Sedans 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 263 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 →