Overview Leaderboard Methodology
Industry Report

Global Hotel Chains

Large multinational hotel brands operating hundreds to thousands of properties worldwide, offering standardized services and loyalty programs.

Brands tracked: 33
Brands analyzed: 33
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 263
Total responses: 1,330
Top Brand Overall?
Hilton
79/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Four Seasons
100

Highest score on the LBA metric in this industry.

Authority Leader?
Hilton
77

Highest score on the Authority metric in this industry.

TOM Leader?
Hilton
68

Highest score on the TOM metric in this industry.

Hilton leads the Global Hotel Chains category in AI responses

Hilton is the most consistently-surfaced brand when users ask AI assistants about Global Hotel Chains, but not to the point of monopolising the conversation. Hyatt 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 33 Global Hotel Chains 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
Hilton
hilton.com
 94
77
68
79
2
Hyatt
hyatt.com
 86
65
58
69
3
Holiday Inn Express
ihg.com
 84
45
59
61
4
Accor
accor.com
 76
35
44
49
5
Wyndham
wyndhamhotels.com
 71
17
32
34
6
Four Seasons
fourseasons.com
 100
10
27
32
7
Holiday Inn
holidayinn.com
 84
8
31
30
8
ibis
ibis.com
 78
17
13
27
9
InterContinental
intercontinental.com
 85
9
22
27
10
Mandarin Oriental
mandarinoriental.com
 93
9
18
27
11
Sheraton
sheraton.com
 77
8
15
23
12
The Ritz-Carlton
ritzcarlton.com
 98
10
10
23
13
Westin
westin.com
 84
8
14
23
14
St. Regis Hotels & Resorts
stregis.com
 92
9
9
22
15
Marriott Hotels
marriott.com
 86
9
9
21
16
Novotel
novotel.com
 79
8
11
21
17
Jumeirah
jumeirah.com
 82
8
8
20
18
Kimpton Hotels & Restaurants
kimptonhotels.com
 83
8
8
20
19
Premier Inn
premierinn.com
 79
8
9
20
20
Shangri-La
shangri-la.com
 82
8
8
20
21
Taj Hotels
tajhotels.com
 84
8
8
20
22
Best Western
bestwestern.com
 75
8
9
19
23
Pullman
pullmanhotels.com
 68
7
10
19
24
B&B Hotels
hotel-bb.com
 67
7
9
18
25
Crowne Plaza
crowneplaza.com
 73
7
8
18
26
Radisson Hotels
radissonhotels.com
 75
7
7
18
27
Ramada
ramada.com
 74
7
7
18
28
Kempinski
kempinski.com
 71
7
7
17
29
OYO
oyorooms.com
 69
7
7
17
30
Meliá Hotels & Resorts
melia.com
 67
7
7
16
31
Motel 6
motel6.com
 63
6
6
16
32
NH Hotels
nh-hotels.com
 66
7
7
16
33
Scandic
scandichotels.com
 64
6
6
16

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 263 shared Global Hotel Chains 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 263 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 →