Overview Leaderboard Methodology
Industry Report

Refrigerators

Large home appliances designed for cold storage of food and beverages, including top-freezer, bottom-freezer, side-by-side, French door, and smart models from major manufacturers.

Brands tracked: 32
Brands analyzed: 32
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 257
Total responses: 1,295
Top Brand Overall?
LG
72/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
LG
91

Highest score on the LBA metric in this industry.

Authority Leader?
LG
42

Highest score on the Authority metric in this industry.

TOM Leader?
LG
96

Highest score on the TOM metric in this industry.

LG leads the Refrigerators category in AI responses

LG is the most consistently-surfaced brand when users ask AI assistants about Refrigerators, but not to the point of monopolising the conversation. Whirlpool and a handful of others appear regularly, giving users a reasonable set of alternatives to compare. The top of this leaderboard is where most of the AI-driven traffic will go.

Brand Leaderboard All 32 Refrigerators 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
 91
42
96
72
2
Whirlpool
whirlpool.com
 76
37
87
63
3
Bosch
bosch-home.com
 82
24
90
57
4
Samsung
samsung.com
 83
19
62
47
5
Frigidaire
frigidaire.com
 65
26
51
45
6
KitchenAid
kitchenaid.com
 79
8
63
37
7
Sub-Zero
subzero-wolf.com
 88
12
42
37
8
GE Appliances
geappliances.com
 69
7
27
26
9
Miele
miele.com
 84
8
15
24
10
Maytag
maytag.com
 75
7
11
20
11
Fisher & Paykel
fisherpaykel.com
 77
8
8
19
12
Liebherr
liebherr.com
 73
7
10
19
13
Viking
vikingrange.com
 80
8
8
19
14
Gaggenau
gaggenau.com
 76
8
8
18
15
Haier
haier.com
 72
7
7
18
16
S
SMEG
smeg.com
 74
7
7
18
17
Thermador
thermador.com
 73
7
7
18
18
AEG
aeg.com
 70
7
7
17
19
JennAir
jennair.com
 67
7
7
17
20
Amana
amana.com
 63
6
6
16
21
Electrolux
electrolux.com
 66
7
7
16
22
Beko
beko.com
 62
6
6
15
23
Dacor
dacor.com
 59
6
6
15
24
Danby
danby.com
 61
6
6
15
25
Hotpoint
hotpoint.com
 62
6
6
15
26
Midea
midea.com
 60
6
6
15
27
Bertazzoni
bertazzoni.com
 56
6
6
14
28
Hisense
hisense.com
 57
6
6
14
29
Sharp
sharpusa.com
 55
6
6
14
30
Blomberg
blombergappliances.com
 52
5
5
13
31
I
Insignia
insigniaproducts.com
 50
5
5
13
32
Toughbook
panasonic.com
 5
0
0
2

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 257 shared Refrigerators 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 257 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 →