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Home / Benchmarks / Best Airlines in AI Search
Benchmark

Best Airlines in AI Search

Monthly rankings of which airlines get cited and recommended across ChatGPT, Perplexity, Gemini, Google AI Overview and AI Mode when travellers and corporate buyers ask which carrier to fly, which loyalty programme to join, and which airline is best for their route., research programme.

Get your Airline Recommendation Score How we measure
, research programme 6 airline categories 3 AI engines
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Why this benchmark matters

AI now influences which airline
travellers choose for every journey.

A recurring view of which airlines appear across route, cabin and traveller specific AI buying journeys.

A traveller deciding between airlines for a London to Tokyo business class flight opens ChatGPT: “Which airline has the best business class on the London to Tokyo route?” The carrier recommended gets the click. Those not recommended do not get evaluated.

How we measure
Sample buyer queries
“Best airline for long haul business class to Asia”
“Most reliable airline on transatlantic routes”
“Best airline frequent flyer programme for leisure travellers”
“Top airline for families flying to Dubai”
“Which airline has the best economy class long haul”
“Best corporate airline programme for a mid-size company”
“Most comfortable airline for overnight flights Europe to Asia”
“Best low-cost carrier for European short haul”
“Which airline is best for flying to Southeast Asia”
“Most punctual airline on UK domestic routes”
“Best airline for premium economy transatlantic”
“Top Middle East carrier for connecting flights”
280480 query variants per engine · 20 runs per query · 3 engines per carrier category
Full-Service Long-Haul, Global, June 2026 Forthcoming ChatGPT Google AI Perplexity
#BrandGPTGooglePerplexityScore
1Singapore Airlines959392
93 ↑ 2
2Qatar Airways929089
90 →
3Emirates898786
87 ↑ 1
4British Airways807877
78 ↓ 2
5Lufthansa747271
72 ↑ 3
6ANA (All Nippon Airways)686665
66 →
Showing 6 of 30 · June 2026 See full benchmark →
Airline categories covered

Six categories, forthcoming
when the Airline benchmark publishes in 2027.

Full service long haul carriers
Global, transatlantic, Asia-Pacific
2027mapped prompts/engine
Full service regional carriers
Europe, Middle East, Americas
2027360 prompts/engine
Low-cost carriers
Europe, Asia, Americas
2027360 prompts/engine
Business class and premium carriers
Global routes
2027280 prompts/engine
Middle East hub carriers
Global connecting routes
2027280 prompts/engine
Frequent flyer programmes
Global loyalty programme comparison
2027320 prompts/engine
Preview ranking format

What the Airline benchmark will look like
when it launches in 2027.

Full-Service Long-Haul, Global, Live June 2026Live data
#AirlineStatus
1Airline A (Full Service Long-Haul)Forthcoming
2Airline B (Middle East Hub)Forthcoming
3Airline C (Premium Carrier)Forthcoming
4Your airline?Now tracked
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What gets airlines cited by AI

Four signal types that predict
AI citation for airlines.

Skytrax and APEX ratings
Skytrax World Airline Awards, APEX Five Star certification, and AirlineRatings.com safety and quality ratings are the primary evidence signals AI engines use to compare carriers in quality and safety queries.
Aviation media mentions
Mentions in The Points Guy, One Mile at a Time, Business Traveller, and Condé Nast Traveller correlate strongly with citation rate in premium and loyalty programme query types.
IATA membership and safety records
IATA membership, IOSA certification, and documented safety records are foundational airline evidence signals. AI engines weight regulatory and safety authority heavily in carrier recommendation queries.
Route and cabin class structured content
Airlines with dedicated, structured content for specific routes and cabin classes outperform those with only generic product pages in route specific and cabin class AI queries.
Get your Airline AI Revenue Gap analysis Score
when rankings launch in 2027.
Get started members get their first score free and priority placement in the first Airline benchmark.
/contact/?segment=airline/solutions/airline-ai-visibility/
What this ranking does and does not mean

Recommendation presence is not proof of quality.

Cited does not treat recommendation frequency as an indicator of which brand is best. We find the gap between what customers say and what AI recommends — and measure what that costs in bookings.

A brand appearing consistently in AI answers may have strong structured evidence, a well indexed public profile, or simply more content surface area. A brand absent from AI answers may have equally strong, or stronger, customer evidence that is not yet reaching AI in a structured form. That gap is what Cited investigates.