Chapter 1 · 6 min read
how to measure hotel AI visibility
Four measures that mean something: mention rate, citation rate, share of answer, persona coverage. And the three mistakes that void a score.
Read the chapter →Reference guide · 6 chapters
How to Measure Hotel AI Visibility
Screenshotting an answer is not measurement. This guide covers the four measures worth tracking, the method that makes them comparable over time, and the mistakes that make a score meaningless.
Updated August 202642 minIntermediateFree to cite
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.
Chapter 2 · 6 min read
can AI read your hotel website
We crawled a five-star resort's site the way an AI assistant does. On the sampled pages, none of the content existed in the raw HTML.
Read the chapter →Chapter 3 · 9 min read
AI hotel visibility: what 695 searches reveal
How much Google rank carries into ChatGPT and Google AI Mode answers across 695 searches, which sources AI actually cites, and what gets a hotel recommended.
Read the chapter →Chapter 4 · 5 min read
what is an AI visibility score
Most hoteliers have no idea whether they're visible when AI recommends hotels. The AI Visibility Score: a metric for what matters in 2026, and how to read it.
Read the chapter →Chapter 5 · 7 min read
how to read an AI visibility report
Tharro's AI Visibility Report runs your hotel through hundreds of structured queries on Perplexity, OpenAI and Gemini and measures what comes back.
Read the chapter →Chapter 6 · 10 min read
AI visibility audit of a real hotel: the branded visibility trap
An AI visibility audit of a Madrid hotel shows a pattern most properties share: strong branded recognition, near-zero discovery visibility. What to do next.
Read the chapter →Measure this for your hotel
Track your AI Visibility
Tharro runs a fixed prompt set across ChatGPT, Google AI Mode and Perplexity every week and scores your standing against your comp set — the full method is published.
Track your AI Visibility →See where your hotel stands today.
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