Online Travel Agencies (OTAs)

The booking takes minutes. Reputation is earned in everything that happens after.

Cited finds where platform evidence stops reaching AI — and what that gap costs in booking volume.

Book a Strategy Call How it works
Post-experience evidence
Booking accuracyRefund handlingDisruption supportPricing transparencyPlatform reliabilityCustomer service
Evidence created after the experience. Publicly accessible. AI may increasingly draw from this environment.
AI query
“Best OTA for international flight and hotel packages?”
Competitor platform recommended. Your booking accuracy and support evidence is comparable.
Recommendation Gap: positive experience evidence not prominent enough versus visible complaint signals.
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 OTAs measures how a booking platform appears across defined AI supported travel planning journeys and investigates the booking experience, support quality and market evidence associated with those patterns.

Evidence categories
What the evidence environment looks like
Booking accuracy
Confirmation reliability, inventory accuracy, pricing
Refund handling
Speed, process, communication, resolution outcomes
Disruption support
Cancellation handling, rebooking, communication quality
Platform reliability
App stability, search accuracy, payment processing
Customer service
Response time, resolution quality, accessibility
Which recommendations matter

The queries that drive consideration.

Packages
“Best OTA international packages”
“Best platform holiday deals”
“Most reliable OTA flight hotel bundle”
Flexibility
“Best OTA flexible cancellation”
“Most trustworthy platform refunds”
“Best OTA disruption handling”
Specialist
“Best OTA luxury travel”
“Best platform last-minute deals”
“Best OTA adventure travel”
What a Recommendation Gap looks like for OTAs

Strong booking accuracy. Negative signals more visible than positive.

Traveller asks AI
“Best OTA for international flight and hotel packages?”

Leisure traveller. Planning a two-week trip.
AI recommends
Competitor platform recommended. Your platform has comparable booking accuracy but a more visible concentration of refund complaint evidence from a specific disruption period.
The Recommendation Gap
Positive experience evidence is distributed across millions of transactions. Negative signals from one period are concentrated and indexed.
Cited maps the evidence environment and identifies what can be legitimately addressed.
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 platform recommendation should your OTA be winning?

Tell us the booking type, traveller profile and competitor platforms. We identify the evidence gap.

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