Overview Leaderboard Methodology
Industry Report

Full-Service Airlines

Major airlines offering a wide network of domestic and international flights with multiple cabin classes, in-flight amenities, and comprehensive loyalty programs.

Brands tracked: 31
Brands analyzed: 31
Last updated: 2026-04-23
Model: OpenAI GPT-5
Prompts: 251
Total responses: 1,260
Top Brand Overall?
Singapore Airlines
86/100

Highest overall AI Visibility Score in this industry.

LBA Leader?
Singapore Airlines
97

Highest score on the LBA metric in this industry.

Authority Leader?
Singapore Airlines
66

Highest score on the Authority metric in this industry.

TOM Leader?
Singapore Airlines
100

Highest score on the TOM metric in this industry.

Singapore Airlines is the default answer in AI responses for Full-Service Airlines

When users ask ChatGPT, Claude, or Gemini about Full-Service Airlines, Singapore Airlines is the brand that surfaces first - unprompted, consistently, and usually at the top of any list the model generates. Qatar Airways 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 31 Full-Service Airlines 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
Singapore Airlines
singaporeair.com
 97
66
100
86
2
Qatar Airways
qatarairways.com
 90
43
94
71
3
Emirates
emirates.com
 87
41
78
66
4
J
Japan Airlines
jal.com
 91
20
70
52
5
Cathay Pacific
cathaypacific.com
 81
21
72
50
6
ANA
ana.co.jp
 84
16
76
49
7
Delta Air Lines
delta.com
 94
45
27
49
8
Turkish Airlines
turkishairlines.com
 83
8
63
38
9
Air France
airfrance.com
 80
14
34
35
10
Japan Airlines (JAL)
jal.co.jp
 85
9
43
34
11
Lufthansa
lufthansa.com
 83
17
26
34
12
United Airlines
united.com
 80
20
19
32
13
American Airlines
aa.com
 76
21
14
29
14
Korean Air
koreanair.com
 89
9
24
29
15
E
EVA Air
evaair.com
 86
9
20
27
16
Virgin Atlantic
virginatlantic.com
 77
19
8
24
17
SWISS
swiss.com
 78
8
16
23
18
British Airways
britishairways.com
 76
10
12
22
19
KLM
klm.com
 80
8
13
22
20
Qantas
qantas.com
 91
9
9
22
21
Air Canada
aircanada.com
 78
8
8
19
22
Asiana Airlines
flyasiana.com
 76
8
8
19
23
Austrian Airlines
austrian.com
 78
8
8
19
24
Garuda Indonesia
garuda-indonesia.com
 78
8
8
19
25
Vietnam Airlines
vietnamairlines.com
 77
8
8
19
26
Etihad Airways
etihad.com
 76
8
8
18
27
Iberia
iberia.com
 75
7
7
18
28
Malaysia Airlines
malaysiaairlines.com
 74
7
7
18
29
Thai Airways
thaiairways.com
 73
7
7
18
30
Finnair
finnair.com
 71
7
7
17
31
Saudia
saudia.com
 69
7
7
17

How is this calculated? Methodology

Every brand in this leaderboard is scored against the same set of 251 shared Full-Service Airlines 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 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 →