Overview Leaderboard Methodology
Industry Report

German Luxury Automakers

Premium passenger-vehicle manufacturers from Germany known for engineering, performance, and high-end luxury features.

Brands tracked: 29
Brands analyzed: 29
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 239
Total responses: 1,190
Top Brand Overall?
Mercedes-Benz
98/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Audi
95

Highest score on the LBA metric in this industry.

Authority Leader?
Mercedes-Benz
100

Highest score on the Authority metric in this industry.

TOM Leader?
Mercedes-Benz
100

Highest score on the TOM metric in this industry.

Mercedes-Benz is the default answer in AI responses for German Luxury Automakers

Mercedes-Benz and BMW together dominate AI responses for German Luxury Automakers. 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 29 German Luxury Automakers 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
Mercedes-Benz
mercedes-benz.com
 94
100
100
98
2
BMW
bmw.com
 94
100
98
97
3
Audi
audi.com
 95
83
88
89
4
Porsche
porsche.com
 95
65
85
81
5
M
Maybach
maybach.com
 84
8
32
31
6
A
Alpina
alpina-watches.com
 82
8
18
25
7
BMW M
bmw-m.com
 93
9
9
22
8
Bentley
bentleymotors.com
 86
9
9
21
9
Volkswagen
vw.com
 88
9
9
21
10
BMW Alpina
alpina-automobiles.com
 83
8
8
20
11
Brabus
brabus.com
 81
8
8
20
12
ABT Sportsline
abt-sportsline.com
 78
8
8
19
13
AC Schnitzer
ac-schnitzer.de
 80
8
8
19
14
Mercedes-AMG
mercedes-amg.com
 78
8
8
19
15
RUF
ruf-automobile.de
 76
8
8
18
16
Techart
techart.com
 73
7
7
18
17
Mansory
mansory.com
 70
7
7
17
18
Wiesmann
wiesmann.com
 59
6
6
15
19
Apollo
apollo.io
 54
5
5
14
20
Lorinser
lorinser.com
 55
5
5
14
21
Carlsson
carlsson.de
 49
5
5
13
22
Gemballa
gemballa.com
 53
5
5
13
23
Hamann
hamann-motorsport.com
 51
5
5
13
24
I
Isdera
isdera.de
 49
5
5
12
25
Gumpert
gumpert.de
 43
4
4
11
26
Lumma Design
lumma-design.com
 45
4
4
11
27
9ff
9ff.com
 36
4
4
10
28
Borgward
borgward.com
 39
4
4
10
29
A
Artega
artega.de
 32
3
3
9

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 239 shared German Luxury Automakers 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 239 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 →