Overview Leaderboard Methodology
Industry Report

Luxury Resorts

High-end resort brands focused on premium accommodations, exclusive amenities, and personalized service at vacation destinations.

Brands tracked: 31
Brands analyzed: 31
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 251
Total responses: 1,260
Top Brand Overall?
Four Seasons
79/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Four Seasons
92

Highest score on the LBA metric.

Authority Leader?
Four Seasons
60

Highest score on the Authority metric.

TOM Leader?
Four Seasons
89

Highest score on the TOM metric.

Four Seasons leads the Luxury Resorts category in AI responses

Four Seasons is the most consistently-surfaced brand when users ask AI assistants about Luxury Resorts, but not to the point of monopolising the conversation. Aman 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 31 Luxury Resorts brands ranked

Ranked by overall AI Visibility Score (geometric mean of LBA, Authority, and TOM). Click any brand for the full report.

# Brand LBA Authority TOM Overall
1
Four Seasons
fourseasons.com
 92
60
89
79
2
Aman
aman.com
 90
24
33
42
3
Six Senses
sixsenses.com
 84
18
41
40
4
Rosewood
rosewoodhotels.com
 80
11
45
34
5
One&Only
oneandonlyresorts.com
 80
6
48
29
6
Belmond
belmond.com
 83
7
28
26
7
Soneva
soneva.com
 83
4
48
25
8
Cheval Blanc
chevalblanc.com
 78
5
19
19
9
The Ritz-Carlton
ritzcarlton.com
 86
3
24
19
10
The Brando
thebrando.com
 72
2
32
16
11
A
Auberge Resorts Collection
auberge-resorts.com
 78
1
4
7
12
Banyan Tree
banyantree.com
 80
0
12
2
13
COMO Hotels and Resorts
comohotels.com
 74
0
8
2
14
Mandarin Oriental
mandarinoriental.com
 83
0
8
2
15
Montage
montagehotels.com
 73
0
10
2
16
NIHI
nihi.com
 58
0
11
2
17
Singita
singita.com
 81
0
1
2
18
Alila
alilahotels.com
 77
0
2
1
19
Anantara
anantara.com
 75
0
3
1
20
Fairmont
fairmont.com
 81
0
2
1
21
Jumeirah
jumeirah.com
 80
0
2
1
22
Oberoi Hotels & Resorts
oberoihotels.com
 77
0
3
1
23
Oetker Collection
oetkercollection.com
 69
0
0
1
24
Raffles
raffles.com
 88
0
0
1
25
St. Regis Hotels & Resorts
stregis.com
 88
0
1
1
26
andBeyond
andbeyond.com
 80
0
0
0
27
Capella Hotels and Resorts
capellahotels.com
 74
0
0
0
28
Constance Hotels & Resorts
constancehotels.com
 62
0
0
0
29
JOALI
joali.com
 77
0
0
0
30
LUX* Resorts & Hotels
luxresorts.com
 58
0
0
0
31
Viceroy
viceroyhotelsandresorts.com
 44
0
0
0

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 251 shared Luxury Resorts 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
Geometric mean of LBA, Authority and TOM: (LBA × Authority × TOM)^(1/3). Geometric mean is used so that any single weak metric pulls the overall score down, rather than being masked by strength elsewhere.
Shared industry prompts
For Authority and TOM, all brands in the industry are scored against the same 251 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 →