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
Named in 33% of long-haul airlines answers, typically in position 2.0. Virgin Atlantic follows at 27%, Emirates at 22%.
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 | 33% | 2.0 | 36% | 20% |
| 2 | Virgin Atlantic | 27% | 3.3 | 24% | 17% |
| 3 | Emirates | 22% | 2.5 | 9% | 18% |
| 4 | Singapore Airlines | 15% | 4.1 | 3% | 50% |
| 5 | Qatar Airways | 13% | 3.0 | 6% | 22% |
| 6 | United Airlines | 10% | 3.7 | 0% | — |
| 7 | Lufthansa | 10% | 3.8 | 6% | — |
| 8 | American Airlines | 7% | 3.5 | 0% | — |
| 9 | Etihad Airways | 7% | 3.5 | 3% | 20% |
| 10 | Turkish Airlines | 7% | 3.5 | 3% | 50% |
| 11 | Japan Airlines | 5% | 3.0 | 0% | — |
| 12 | Cathay Pacific | 5% | 4.3 | 0% | — |
| 13 | KLM | 5% | 7.0 | 6% | — |
| 14 | ANA | 3% | 4.0 | 0% | — |
| 15 | Qantas | 3% | 5.0 | 0% | — |
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.
Each whorl lights one ring per index threshold cleared. See the full long-haul airlines desire edition →
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.
These are the assistants' own searches, read from their answers — not what anyone typed into a search engine.
The independent sources AI models cite when answering long-haul airlines questions — the places a brand needs to be seen, reviewed and ranked.
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.
| # | Brand | Visibility | Avg. position | Citation share | Read→cited |
|---|---|---|---|---|---|
| 1 | British Airways | 33% | 2.0 | 36% | 20% |
| 2 | Virgin Atlantic | 27% | 3.3 | 24% | 17% |
| 3 | Emirates | 22% | 2.5 | 9% | 18% |
| 4 | Singapore Airlines | 15% | 4.1 | 3% | 50% |
| 5 | Qatar Airways | 13% | 3.0 | 6% | 22% |
| 6 | United Airlines | 10% | 3.7 | 0% | — |
| 7 | Lufthansa | 10% | 3.8 | 6% | — |
| 8 | American Airlines | 7% | 3.5 | 0% | — |
| 9 | Etihad Airways | 7% | 3.5 | 3% | 20% |
| 10 | Turkish Airlines | 7% | 3.5 | 3% | 50% |
| 11 | Japan Airlines | 5% | 3.0 | 0% | — |
| 12 | Cathay Pacific | 5% | 4.3 | 0% | — |
| 13 | KLM | 5% | 7.0 | 6% | — |
| 14 | ANA | 3% | 4.0 | 0% | — |
| 15 | Qantas | 3% | 5.0 | 0% | — |
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.
Brands whose visibility swings most between models — the bar per model, widest gap on the right.
| Brand | Claude | Gemini | ChatGPT | Spread |
|---|---|---|---|---|
| British Airways | 10% | 50% | 40% | 40pp |
| Virgin Atlantic | 5% | 40% | 35% | 35pp |
| Singapore Airlines | 5% | 30% | 10% | 25pp |
| Emirates | 10% | 25% | 30% | 20pp |
| Qatar Airways | 5% | 25% | 10% | 20pp |
| Turkish Airlines | 15% | 0% | 5% | 15pp |
| American Airlines | 5% | 15% | 0% | 15pp |
| Lufthansa | 5% | 20% | 5% | 15pp |
| United Airlines | 10% | 15% | 5% | 10pp |
| KLM | 0% | 10% | 5% | 10pp |
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.
| 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% |
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.
| 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 |
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.
| Brand | Readiness | Pages cited | Pages 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.
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.
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.