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
British Airways is the default answer.
Named in 38% of long-haul airlines answers, typically in position 1.5. Virgin Atlantic follows at 25%, Emirates at 20%.
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.
| # | Brand | Visibility | Avg. position | Citation share | Read→cited |
|---|---|---|---|---|---|
| 1 | British Airways | 38% | 1.5 | 37% | 18% |
| 2 | Virgin Atlantic | 25% | 2.5 | 13% | 21% |
| 3 | Emirates | 20% | 3.8 | 6% | 40% |
| 4 | Qatar Airways | 18% | 4.1 | 6% | 50% |
| 5 | Singapore Airlines | 18% | 4.8 | 2% | 33% |
| 6 | Lufthansa | 17% | 3.7 | 2% | — |
| 7 | United Airlines | 17% | 4.0 | 0% | — |
| 8 | Ryanair | 10% | 3.2 | 4% | 20% |
| 9 | easyJet | 8% | 4.4 | 4% | 33% |
| 10 | KLM | 8% | 6.2 | 8% | 22% |
| 11 | American Airlines | 7% | 2.3 | 0% | — |
| 12 | ANA | 7% | 2.3 | 0% | — |
| 13 | Cathay Pacific | 7% | 3.5 | 0% | — |
| 14 | Turkish Airlines | 7% | 3.8 | 2% | 50% |
| 15 | Japan Airlines | 5% | 1.0 | 0% | — |
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, Emirates leads attraction at 118 against Wizz Air at 78, indexed on the category at 100.
Each whorl lights one ring per index threshold cleared. See the full long-haul airlines desire edition →
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.
Qatar Airways converts reads into citations. British Airways 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 50% of reads; British Airways just 18%. That gap is a content problem, not a visibility problem.
Full data table
| # | Brand | Visibility | Avg. position | Citation share | Read→cited |
|---|---|---|---|---|---|
| 1 | British Airways | 38% | 1.5 | 37% | 18% |
| 2 | Virgin Atlantic | 25% | 2.5 | 13% | 21% |
| 3 | Emirates | 20% | 3.8 | 6% | 40% |
| 4 | Qatar Airways | 18% | 4.1 | 6% | 50% |
| 5 | Singapore Airlines | 18% | 4.8 | 2% | 33% |
| 6 | Lufthansa | 17% | 3.7 | 2% | — |
| 7 | United Airlines | 17% | 4.0 | 0% | — |
| 8 | Ryanair | 10% | 3.2 | 4% | 20% |
| 9 | easyJet | 8% | 4.4 | 4% | 33% |
| 10 | KLM | 8% | 6.2 | 8% | 22% |
| 11 | American Airlines | 7% | 2.3 | 0% | — |
| 12 | ANA | 7% | 2.3 | 0% | — |
| 13 | Cathay Pacific | 7% | 3.5 | 0% | — |
| 14 | Turkish Airlines | 7% | 3.8 | 2% | 50% |
| 15 | Japan Airlines | 5% | 1.0 | 0% | — |
The models do not agree on who leads.
Ask about long-haul airlines and the brand you are shown depends on the assistant: Claude → British Airways, Gemini → Lufthansa, ChatGPT → British Airways. Their top-five lists share just 25% of names.
Brands whose visibility swings most between models — the bar per model, widest gap on the right.
The data behind this chart
| Brand | Claude | Gemini | ChatGPT | Spread |
|---|---|---|---|---|
| Lufthansa | 5% | 35% | 10% | 30pp |
| Qatar Airways | 5% | 30% | 20% | 25pp |
| Emirates | 10% | 30% | 20% | 20pp |
| Singapore Airlines | 10% | 25% | 20% | 15pp |
| Delta Air Lines | 0% | 15% | 0% | 15pp |
| British Airways | 35% | 35% | 45% | 10pp |
| Virgin Atlantic | 25% | 20% | 30% | 10pp |
| United Airlines | 20% | 20% | 10% | 10pp |
| Turkish Airlines | 10% | 0% | 10% | 10pp |
| Ryanair | 5% | 10% | 15% | 10pp |
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.
The data behind this chart
| Page type | Cited | Read but not cited | Conversion |
|---|---|---|---|
| How-to guides | 60 | 2 | 97% |
| Editorial | 52 | 2 | 96% |
| Comparisons | 26 | 2 | 93% |
| Documentation | 25 | 1 | 96% |
| Product pages | 19 | 1 | 95% |
| spec-sheet | 14 | 0 | 100% |
| Community threads | 12 | 0 | 100% |
| Listicles | 10 | 3 | 77% |
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 11 percentage points; hard statistics pages fare 21pp worse. Measured within the read population, so selection can't flatter it.
The data behind this chart
| Feature | Pages with | Cited % | Pages without | Cited % | Difference |
|---|---|---|---|---|---|
| Structured data | 26 | 100% | 264 | 89% | +11pp |
| Answer up front | 121 | 93% | 169 | 88% | +4pp |
| Named author | 124 | 92% | 166 | 89% | +3pp |
| Specifications | 56 | 89% | 234 | 90% | -1pp |
| Comparison table | 84 | 89% | 206 | 90% | -1pp |
| Updated this year | 86 | 83% | 204 | 93% | -11pp |
| Hard statistics | 56 | 73% | 234 | 94% | -21pp |
Singapore Airlines 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. Set against how often those pages are actually cited.
| Brand | Readiness | Pages cited | Pages profiled |
|---|---|---|---|
| Singapore Airlines | 29 | 100% | 3 |
| Ryanair | 21 | 100% | 3 |
| Qatar Airways | 17 | 100% | 3 |
| Virgin Atlantic | 13 | 78% | 9 |
| British Airways | 13 | 82% | 22 |
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.
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.
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 Wed, 02 Sep 2026 04:50:43 GMT.