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Long-Haul Airlines,
according to AI

Every week we ask ChatGPT, Claude and Gemini the questions real UK consumers ask about long-haul airlines — and record exactly which brands they put forward. Right now, British Airways owns the conversation.

0 AI answers this run · 0 brands named · measured, never estimated

The podium

British Airways is the default answer.

Named in 33% of long-haul airlines answers, typically in position 2.0. Virgin Atlantic follows at 27%, Emirates at 22%.

Virgin Atlantic
27% of answers
British Airways
33% of answers
Emirates
22% of answers
The full board

Every brand AI names, ranked.

Visibility is the share of answers naming the brand; citation share is its slice of all brand-owned pages cited; read→cited is how often its pages convert a read into a citation.

#BrandVisibilityAvg. positionCitation shareRead→cited
1British Airways 33% 2.0 36% 20%
2Virgin Atlantic 27% 3.3 24% 17%
3Emirates 22% 2.5 9% 18%
4Singapore Airlines 15% 4.1 3% 50%
5Qatar Airways 13% 3.0 6% 22%
6United Airlines 10% 3.7 0%
7Lufthansa 10% 3.8 6%
8American Airlines 7% 3.5 0%
9Etihad Airways 7% 3.5 3% 20%
10Turkish Airlines 7% 3.5 3% 50%
11Japan Airlines 5% 3.0 0%
12Cathay Pacific 5% 4.3 0%
13KLM 5% 7.0 6%
14ANA 3% 4.0 0%
15Qantas 3% 5.0 0%
What AI wants here

Long-Haul Airlines is decided on attraction.

Being named is visibility. Underneath it, every answer describes a brand in three ways — how much it stands out, how much it belongs, and how much it is returned to. In long-haul airlines, Qatar Airways leads attraction at 128 against ITA Airways at 84, indexed on the category at 100.

Attraction
Qatar Airways128
ITA Airways84
44-point spread · tracks being named 0.57
Affinity
Singapore Airlines115
ITA Airways80
35-point spread · tracks being named 0.54
Attachment
Qatar Airways112
ITA Airways83
29-point spread · tracks being named 0.56
Qatar Airways: Attraction 128, Affinity 112, Attachment 112
Qatar Airways
Complete desire
Singapore Airlines: Attraction 123, Affinity 115, Attachment 112
Singapore Airlines
Complete desire
Japan Airlines: Attraction 119, Affinity 114, Attachment 111
Japan Airlines
Complete desire
AttractionAffinityAttachment

Each whorl lights one ring per index threshold cleared. See the full long-haul airlines desire edition →

What AI searched for first

Before it answers, it goes looking for British Airways.

An assistant does not answer from memory alone. It runs its own web searches first, and whoever it searches for is the shortlist it then chooses from. Across 76 searches in long-haul airlines, British Airways is named in 71% of the ones that name a brand at all. ChatGPT Web does not report its searches, so these shares are measured against the ones that do.

British Airways 71%
Emirates 14%
Lufthansa 14%
Claude
Searches per question1.2
Names a brand0%
Names a year23%
Goes to a site0%
Gemini
Searches per question1.8
Names a brand11%
Names a year3%
Goes to a site0%
ChatGPT
Searches per question1.1
Names a brand17%
Names a year11%
Goes to a site78%
site:caa.co.uk cancelled flight connecting flight compensation UK261 missed connection official
ChatGPT
airline special meal request time limit gluten free british airways easyjet ryanair
Gemini
UK Civil Aviation Authority missed flight traffic rebooking contact airline airport
ChatGPT
UK flights Asia cheapest month to fly booking window long haul 2025 2026 Skyscanner
ChatGPT

These are the assistants' own searches, read from their answers — not what anyone typed into a search engine.

Who AI trusts here

The referees of long-haul airlines.

The independent sources AI models cite when answering long-haul airlines questions — the places a brand needs to be seen, reviewed and ranked.

reddit.com 13 cites
caa.co.uk 10 cites
facebook.com 7 cites
heathrow.com 6 cites
which.co.uk 6 cites
gov.uk 5 cites
simpleflying.com 5 cites
booking.com 4 cites
staralliance.com 4 cites
trip.com 4 cites
Read is not cited

Qatar Airways converts reads into citations. Virgin Atlantic doesn't.

When Claude or ChatGPT opens a brand's own pages while answering, does the page make the cited-sources list? Qatar Airways converts 22% of reads; Virgin Atlantic just 17%. That gap is a content problem, not a visibility problem.

Qatar Airways · read 9×22%
British Airways · read 35×20%
Etihad Airways · read 5×20%
Emirates · read 17×18%
Virgin Atlantic · read 46×17%
Full data table
#BrandVisibilityAvg. positionCitation shareRead→cited
1British Airways33%2.036%20%
2Virgin Atlantic27%3.324%17%
3Emirates22%2.59%18%
4Singapore Airlines15%4.13%50%
5Qatar Airways13%3.06%22%
6United Airlines10%3.70%
7Lufthansa10%3.86%
8American Airlines7%3.50%
9Etihad Airways7%3.53%20%
10Turkish Airlines7%3.53%50%
11Japan Airlines5%3.00%
12Cathay Pacific5%4.30%
13KLM5%7.06%
14ANA3%4.00%
15Qantas3%5.00%
Which AI you ask

The models do not agree on who leads.

Ask about long-haul airlines and the brand you are shown depends on the assistant: Claude → Turkish Airlines, Gemini → British Airways, ChatGPT → British Airways. Their top-five lists share just 22% of names.

Claude recommends
Turkish Airlines
named in 15% of its answers
Gemini recommends
British Airways
named in 50% of its answers
ChatGPT recommends
British Airways
named in 40% of its answers

Brands whose visibility swings most between models — the bar per model, widest gap on the right.

British Airways 40pp
Virgin Atlantic 35pp
Singapore Airlines 25pp
Emirates 20pp
Qatar Airways 20pp
Turkish Airlines 15pp
American Airlines 15pp
Lufthansa 15pp
ClaudeGeminiChatGPT
The data behind this chart
BrandClaudeGeminiChatGPTSpread
British Airways10%50%40%40pp
Virgin Atlantic5%40%35%35pp
Singapore Airlines5%30%10%25pp
Emirates10%25%30%20pp
Qatar Airways5%25%10%20pp
Turkish Airlines15%0%5%15pp
American Airlines5%15%0%15pp
Lufthansa5%20%5%15pp
United Airlines10%15%5%10pp
KLM0%10%5%10pp
What AI reads here

How-to guides carry long-haul airlines.

Every page AI opened while answering, classified by what kind of page it is. How-to guides supply the most citations; spec-sheet convert best — 100% of the ones models opened were actually cited.

How-to guides
130 cited · 8 read only
94% of reads cited
Editorial
104 cited · 7 read only
94% of reads cited
Comparisons
45 cited · 4 read only
92% of reads cited
Product pages
43 cited · 2 read only
96% of reads cited
Documentation
42 cited · 2 read only
95% of reads cited
spec-sheet
29 cited · 0 read only
100% of reads cited
Community threads
29 cited · 0 read only
100% of reads cited
Other
21 cited · 17 read only
55% of reads cited
The data behind this chart
Page typeCitedRead but not citedConversion
How-to guides130894%
Editorial104794%
Comparisons45492%
Product pages43296%
Documentation42295%
spec-sheet290100%
Community threads290100%
Other211755%
What gets cited

Structured data is what separates cited from ignored.

Of the long-haul airlines pages models actually opened, how much more often each feature's pages ended up in the cited sources. Structured data is worth 6 percentage points; hard statistics pages fare 19pp worse. Measured within the read population, so selection can't flatter it.

Structured data +6pp
Answer up front +3pp
Named author +2pp
Specifications -0pp
Comparison table -2pp
Updated this year -10pp
Hard statistics -19pp
The data behind this chart
FeaturePages withCited %Pages withoutCited %Difference
Structured data22294%36088%+6pp
Answer up front24791%33589%+3pp
Named author24091%34289%+2pp
Specifications10790%47590%-0pp
Comparison table17489%40891%-2pp
Updated this year17383%40993%-10pp
Hard statistics11374%46994%-19pp
Citation readiness

Delta Air Lines builds pages AI can quote.

Readiness scores each brand's own pages on the structure models reward — a direct answer up front, tables, hard numbers, named authors, structured data, recency, specifications. Delta Air Lines is the widest gap: well-built pages that still aren't converting into citations.

BrandReadinessPages citedPages profiled
Delta Air Lines 41 0% 4
Singapore Airlines 30 57% 7
KLM 29 83% 6
Qantas 28 0% 4
Emirates 27 9% 47
Lufthansa 25 38% 8
Finnair 25 25% 4
American Airlines 25 29% 7
Qatar Airways 22 12% 41
Ryanair 21 100% 3

Readiness is the share of eight measurable structural signals present on a brand's profiled pages. It is a build-quality measure, not a ranking of the brand.

What the answers answer

The questions long-haul airlines pages have to settle.

Read straight off the pages AI cited: the consumer questions cited content answers most often. Content that fails to settle these is content models have no reason to quote.

What are my rights if my flight is cancelled?
What is GroupSave?
What causes jet lag?
How much do Flex Fares cost?
What is a connecting flight?
What are the benefits of Star Alliance Gold status?
Which airline offers the world's longest economy legroom in 2026?
What is airport fast-track security?
Keep exploring

Nineteen more categories.

Method: 20 unbranded consumer prompts per category, spread across the buying journey, run weekly against ChatGPT, Claude and Gemini. Read→cited uses Claude and ChatGPT only (Gemini does not separate the two). Correlational observations of model behaviour at the time of the run. Data from the run completed Fri, 11 Sep 2026 06:38:16 GMT.

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