Hotels and Resorts

The stay ends at checkout. The evidence does not.

Cited finds where guest word of mouth is failing to reach AI — and what that gap costs your hotel in bookings.

Book a Strategy Call How it works
Post-experience evidence
Kids club praisedFamily room qualityStaff with childrenPool experienceFamily service
Customer and market evidence created after the experience. Publicly accessible. AI recommendation systems may increasingly draw from this environment.
AI query
“Best family resort in Dubai?”
Your property: not shortlisted. Strong family evidence exists across 847 guest reviews.
Recommendation Gap: evidence not connecting to family travel queries.
What guests are already proving

Every stay creates evidence for the next booking decision.

Hotels generate more public post experience evidence than almost any other travel category. Guest reviews across Google, TripAdvisor, Booking.com, Expedia and editorial platforms accumulate specific, occasion rich proof: family suitability, honeymoon experience, business service, wellness facilities, dining quality, location accuracy.

As AI takes a larger role in travel discovery, that distributed evidence can increasingly influence how your property is understood and recommended before the next traveller books. The question Cited investigates is whether the evidence your guests create reaches the AI recommendation you want to win.

Word of mouth from your guests is the raw material AI uses to recommend your hotel to the next traveller. Cited finds the gap between what guests say and what AI hears — and the bookings that fall through it.

Evidence by occasion
Hotels generate occasion rich public proof
Family
Kids club, family rooms, pool, activities, childcare
Honeymoon
Romance, service, privacy, dining, spa
Business
Wifi, meeting rooms, check-in speed, service
Wellness
Spa quality, healthy dining, fitness, calm
Luxury
Suite quality, butler service, exclusivity
AI may associate your property with one occasion type even when your evidence supports several.
Which recommendations matter most for hotels

The queries that drive booking consideration.

Family travel
“Best family resort Dubai”
“Best hotel for children Maldives”
“Best family pool hotel Bali”
Luxury and wellness
“Best spa hotel Europe”
“Best luxury adults only resort”
“Best wellness retreat Thailand”
Business travel
“Best business hotel Singapore CBD”
“Best hotel for meetings London”
“Best airport hotel connectivity”
How Cited works for hotels

Define. Baseline. Trace. Strengthen. Rerun.

Five steps. One defined occasion and market at a time.

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

The US Hotel AI Recommendation Report 2026.

Cited is researching how guest experience evidence reaches AI hotel recommendation across US hotel categories. The report investigates which evidence types are most consistently associated with recommendation presence and where gaps are most common.

See the report
In fieldwork
US Hotel AI Recommendation Report 2026
Measuring the revenue gap between what hotel guests say after a stay and what AI recommends to the next traveller searching. Across ChatGPT, Perplexity, Gemini, Google AI Overview and AI Mode, word of mouth is becoming machine readable — and the gap is costing bookings.

Which hotel recommendation should your property be winning?

Bring one occasion and market. We identify the evidence gap.

Book a Strategy Call