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 40% of long-haul airlines answers, typically in position 2.5. Emirates follows at 27%, Virgin Atlantic at 25%.
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 | 40% | 2.5 | 51% | 16% |
| 2 | Emirates | 27% | 2.9 | 11% | 43% |
| 3 | Virgin Atlantic | 25% | 2.7 | 20% | 26% |
| 4 | Singapore Airlines | 17% | 4.0 | 3% | 9% |
| 5 | United Airlines | 15% | 3.1 | 0% | — |
| 6 | Qatar Airways | 15% | 3.4 | 3% | 0% |
| 7 | American Airlines | 10% | 3.8 | 3% | — |
| 8 | Lufthansa | 10% | 4.0 | 0% | — |
| 9 | Delta Air Lines | 7% | 4.0 | 0% | — |
| 10 | Cathay Pacific | 7% | 4.8 | 0% | — |
| 11 | Japan Airlines | 5% | 1.0 | 0% | — |
| 12 | Etihad Airways | 5% | 2.7 | 3% | 50% |
| 13 | ANA | 5% | 3.0 | 0% | — |
| 14 | Turkish Airlines | 3% | 2.5 | 3% | 50% |
| 15 | Qantas | 3% | 5.5 | 0% | — |
Singapore Airlines is the long-haul airlines brand AI wants most.
Being named is visibility. Underneath it, asked to rate each brand directly, the AI assistants judge it three ways — how much it stands out, how much it belongs, and how much it is returned to. They put 35% of the 26 brands rated above indifference. Singapore Airlines leads the brands the answers name, at 79% of maximum Desire. On attraction, the most divided driver, Singapore Airlines indexes 130 against United Airlines at 78, on a category average of 100.
Each whorl lights one ring per index threshold cleared (84 / 92 / 100 / 108 / 116). Above indifference means Desire above two-thirds of its maximum. See the full long-haul airlines desire edition →
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 78 searches in long-haul airlines, British Airways is named in 73% of the ones that name a brand at all. ChatGPT Web, Copilot do not report their searches, so these shares are measured against the ones that do.
These are the assistants' own searches, read from their answers — not what anyone typed into a search engine.
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.
Emirates converts reads into citations. Qatar Airways doesn't.
When Claude or ChatGPT opens a brand's own pages while answering, does the page make the cited-sources list? Emirates converts 43% of reads; Qatar Airways just 0%. That gap is a content problem, not a visibility problem.
Full data table
| # | Brand | Visibility | Avg. position | Citation share | Read→cited |
|---|---|---|---|---|---|
| 1 | British Airways | 40% | 2.5 | 51% | 16% |
| 2 | Emirates | 27% | 2.9 | 11% | 43% |
| 3 | Virgin Atlantic | 25% | 2.7 | 20% | 26% |
| 4 | Singapore Airlines | 17% | 4.0 | 3% | 9% |
| 5 | United Airlines | 15% | 3.1 | 0% | — |
| 6 | Qatar Airways | 15% | 3.4 | 3% | 0% |
| 7 | American Airlines | 10% | 3.8 | 3% | — |
| 8 | Lufthansa | 10% | 4.0 | 0% | — |
| 9 | Delta Air Lines | 7% | 4.0 | 0% | — |
| 10 | Cathay Pacific | 7% | 4.8 | 0% | — |
| 11 | Japan Airlines | 5% | 1.0 | 0% | — |
| 12 | Etihad Airways | 5% | 2.7 | 3% | 50% |
| 13 | ANA | 5% | 3.0 | 0% | — |
| 14 | Turkish Airlines | 3% | 2.5 | 3% | 50% |
| 15 | Qantas | 3% | 5.5 | 0% | — |
All three models agree: British Airways.
A rare consensus — every model puts British Airways first, and their top-five lists overlap 38%. Winning here means winning everywhere at once.
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 |
|---|---|---|---|---|
| British Airways | 25% | 60% | 35% | 35pp |
| American Airlines | 10% | 20% | 0% | 20pp |
| Emirates | 25% | 35% | 20% | 15pp |
| Virgin Atlantic | 15% | 30% | 30% | 15pp |
| Singapore Airlines | 15% | 25% | 10% | 15pp |
| Qatar Airways | 10% | 25% | 10% | 15pp |
| United Airlines | 10% | 25% | 10% | 15pp |
| Lufthansa | 10% | 15% | 5% | 10pp |
| ANA | 10% | 0% | 5% | 10pp |
| Delta Air Lines | 10% | 10% | 0% | 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 | 130 | 8 | 94% |
| Editorial | 104 | 7 | 94% |
| Comparisons | 45 | 4 | 92% |
| Product pages | 43 | 2 | 96% |
| Documentation | 42 | 2 | 95% |
| spec-sheet | 29 | 0 | 100% |
| Community threads | 29 | 0 | 100% |
| Other | 21 | 17 | 55% |
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.
The data behind this chart
| Feature | Pages with | Cited % | Pages without | Cited % | Difference |
|---|---|---|---|---|---|
| Structured data | 222 | 94% | 360 | 88% | +6pp |
| Answer up front | 247 | 91% | 335 | 89% | +3pp |
| Named author | 240 | 91% | 342 | 89% | +2pp |
| Specifications | 107 | 90% | 475 | 90% | -0pp |
| Comparison table | 174 | 89% | 408 | 91% | -2pp |
| Updated this year | 173 | 83% | 409 | 93% | -10pp |
| Hard statistics | 113 | 74% | 469 | 94% | -19pp |
Qantas 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. Qantas is the widest gap: well-built pages that still aren't converting into citations.
| Brand | Readiness | Pages cited | Pages profiled |
|---|---|---|---|
| Qantas | 28 | 0% | 4 |
| Delta Air Lines | 28 | 0% | 20 |
| Emirates | 27 | 9% | 47 |
| Singapore Airlines | 27 | 13% | 30 |
| Lufthansa | 27 | 9% | 33 |
| Finnair | 25 | 25% | 4 |
| American Airlines | 25 | 29% | 7 |
| Qatar Airways | 22 | 12% | 41 |
| Aer Lingus | 21 | 67% | 3 |
| KLM | 19 | 23% | 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 Sat, 17 Oct 2026 13:01:22 GMT.