How to Measure Hotel AI Visibility

The measures, and what makes them defensible

You can't manage what you don't measure, and AI answers change week to week. An AI Visibility Score turns 'are we in the answer?' into a tracked KPI: hundreds of prompts simulating real traveler behavior, run against the leading engines, scored across mentions, indirect citations and direct citations. The pieces below explain the score, show what a real visibility report reveals about a property, and walk through an audit of a hotel that looked strong in search yet was invisible to AI.

Measuring hotel AI visibility starts with three metrics. Mentions: how often your hotel is named in AI answers to unbranded traveler questions ("best hotels in…", "where to stay in…"). Indirect citations: how often the sources the AI reads — OTA listings, review platforms, editorial guides — carry your hotel into the answer. Direct citations: how often your own website is the linked source. Most hotels discover the third number is close to zero; in our research a hotel's own site is the cited source in under 10% of recommendations.

To measure it in practice: define the unbranded questions your guests actually ask, run them against each engine separately (ChatGPT and Google's AI Mode overlap on just 21% of the hotels they name, so one engine tells you nothing about the other), score your presence against your comp set, and repeat on a schedule — AI answers shift week to week, so a single snapshot goes stale fast.