Overview Leaderboard Methodology
Industry Report

Washing Machines

Household laundry machines that clean clothes using various load types and technologies such as front-load, top-load, high-efficiency, and smart connectivity from established makers.

Brands tracked: 35
Brands analyzed: 35
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 275
Total responses: 1,400
Top Brand Overall?
LG
86/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Miele
87

Highest score on the LBA metric in this industry.

Authority Leader?
LG
78

Highest score on the Authority metric in this industry.

TOM Leader?
LG
100

Highest score on the TOM metric in this industry.

LG is the default answer in AI responses for Washing Machines

When users ask ChatGPT, Claude, or Gemini about Washing Machines, LG is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Miele 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 35 Washing Machines 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
LG
lg.com
 82
78
100
86
2
Miele
miele.com
 87
18
87
53
3
Samsung
samsung.com
 82
26
66
53
4
Whirlpool
whirlpool.com
 69
30
56
49
5
Bosch
bosch-home.com
 79
16
76
47
6
Maytag
maytag.com
 73
14
53
39
7
Speed Queen
speedqueen.com
 72
9
69
38
8
Electrolux
electrolux.com
 77
17
35
36
9
GE Appliances
geappliances.com
 73
7
24
25
10
Best Buy
bestbuy.com
 76
13
8
21
11
Siemens
siemens-home.bsh-group.com
 86
9
9
21
12
Fisher & Paykel
fisherpaykel.com
 78
8
8
19
13
Home Depot
homedepot.com
 79
8
8
19
14
AEG
aeg.com
 71
7
7
17
15
Affresh
affresh.com
 69
7
7
17
16
Haier
haier.com
 68
7
7
17
17
IFB
ifbappliances.com
 71
7
7
17
18
Kenmore
kenmore.com
 69
7
7
17
19
Asko
asko.com
 67
7
7
16
20
Frigidaire
frigidaire.com
 63
6
6
16
21
Hoover
hoover-home.com
 63
6
6
16
22
Amana
amana.com
 60
6
6
15
23
Beko
beko.com
 61
6
6
15
24
Candy
candy-home.com
 61
6
6
15
25
Godrej
godrej.com
 59
6
6
15
26
Hisense
hisense.com
 62
6
6
15
27
Hotpoint
hotpoint.com
 60
6
6
15
28
Lowe’s
lowes.com
 62
6
6
15
29
Toshiba
toshiba-lifestyle.com
 60
6
6
15
30
Zanussi
zanussi.com
 62
6
6
15
31
Ariston
ariston.com
 56
6
6
14
32
Indesit
indesit.com
 58
6
6
14
33
Blomberg
blombergappliances.com
 49
5
5
12
34
Sharp
sharpusa.com
 48
5
5
12
35
Toughbook
panasonic.com
 0
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 275 shared Washing Machines 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 275 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 →