Overview Leaderboard Methodology
Industry Report

Dryers

Household tumble or condenser appliances that remove moisture from washed clothes using gas or electric heating and a range of sensor and cycle features from prominent brands.

Brands tracked: 34
Brands analyzed: 34
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 269
Total responses: 1,365
Top Brand Overall?
LG
85/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Samsung
88

Highest score on the LBA metric in this industry.

Authority Leader?
LG
76

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 Dryers

When users ask ChatGPT, Claude, or Gemini about Dryers, LG is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Whirlpool 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 34 Dryers 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
 81
76
100
85
2
Whirlpool
whirlpool.com
 71
50
82
67
3
GE
ge.com
 77
38
52
54
4
Maytag
maytag.com
 72
25
71
51
5
Samsung
samsung.com
 88
20
53
47
6
Bosch
bosch-home.com
 74
17
56
42
7
Miele
miele.com
 84
18
42
41
8
Speed Queen
speedqueen.com
 73
13
65
41
9
Electrolux
electrolux.com
 68
11
50
35
10
Siemens
siemens-home.bsh-group.com
 77
8
8
19
11
GE Appliances
geappliances.com
 68
7
10
18
12
Home Depot
homedepot.com
 75
7
7
18
13
Fisher & Paykel
fisherpaykel.com
 67
7
7
17
14
Kenmore
kenmore.com
 67
7
7
17
15
AEG
aeg.com
 66
7
7
16
16
Amana
amana.com
 63
6
6
16
17
Frigidaire
frigidaire.com
 67
7
7
16
18
Asko
asko.com
 61
6
6
15
19
Beko
beko.com
 59
6
6
15
20
Haier
haier.com
 60
6
6
15
21
Hotpoint
hotpoint.com
 59
6
6
15
22
Lowe’s
lowes.com
 52
8
5
15
23
Zanussi
zanussi.com
 62
6
6
15
24
Gorenje
gorenje.com
 56
6
6
14
25
Hisense
hisense.com
 56
6
6
14
26
Candy
candy-home.com
 53
5
5
13
27
Indesit
indesit.com
 52
5
5
13
28
Bauknecht
bauknecht.de
 49
5
5
12
29
Blomberg
blombergappliances.com
 45
5
5
12
30
Grundig
grundig.com
 46
5
5
12
31
Hoover
hoover-home.com
 44
4
4
11
32
S
SMEG
smeg.com
 44
4
4
11
33
White Knight
whiteknight.co.uk
 43
4
4
11
34
NEFF
neff-home.com
 33
3
3
9

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 269 shared Dryers 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 269 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 →