Airlines

The airline makes the promise before departure. Passengers create the proof after landing.

Cited finds where passenger word of mouth stops reaching AI — and what that gap costs your airline in bookings.

Book a Strategy Call How it works
Post-experience evidence
Cabin qualityDisruption recoveryBaggage handlingBooking easeReliability proof
Evidence created after the experience. Publicly accessible. AI may increasingly draw from this environment.
AI query
“Best business class London to Dubai?”
Competitor airline recommended. Your cabin quality ranks highly in independent reviews.
Recommendation Gap: strong route evidence not reaching AI for this specific query.
What evidence this segment creates

Every experience creates evidence for the next decision.

Post-experience evidence accumulates publicly after every engagement. As AI takes a larger role in travel discovery, that distributed evidence can increasingly influence who AI recommends. Cited finds the gap between what customers say and what AI recommends — and what that costs in bookings.

AI Revenue Gap analysis for airlines measures how a carrier appears across defined AI supported travel buying journeys and investigates the passenger experience and market evidence associated with those patterns.

Evidence categories
What the evidence environment looks like
Cabin quality
Seat comfort, food, entertainment, service crew
Disruption
Delay handling, rebooking, communication, compensation
Baggage
Loading, arrival, damage, loss response
Reliability
Punctuality, cancellations, schedule consistency
Booking
App, website, check-in, seat selection experience
Which recommendations matter

The queries that drive consideration.

Business class
“Best business class long haul”
“Best airline corporate travel programme”
“Best first class trans-atlantic”
Family
“Best airline for families long haul”
“Most family friendly airline”
“Best airline travelling with infant”
Value
“Best economy airline Europe”
“Best budget airline UK domestic”
“Best airline value for money”
What a Recommendation Gap looks like for airlines

Strong passenger evidence. Absent from the AI answer.

Traveller asks AI
“Best business class airline from London to Dubai?”

Corporate frequent flyer. High intent. Ready to book.
AI recommends
Two competitor airlines are recommended with specific cabin quality evidence. Your airline is not mentioned despite comparable or stronger independent ratings.
The Recommendation Gap
Route-specific passenger evidence exists. It is not structured so AI associates it with this specific route query.
Cited identifies the evidence gap, strengthens the legitimate evidence, and reruns the same journey at 90 days.
How Cited works

Define. Baseline. Trace. Strengthen. Rerun.

Five steps. One defined buying situation at a time.

01
Define
Agree the buying situation, traveller type and competitor set.
02
Baseline
Document what AI recommends across five channels.
03
Trace
Investigate evidence associated with those patterns.
04
Strengthen
Improve genuine evidence where legitimate gaps exist.
05
Rerun
Measure what changed against the baseline.

Which airline recommendation should your brand be winning?

Tell us the route, traveller type and market. We identify the evidence gap.

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