AI brand monitoring for hotels: what the assistants say when nobody is watching
Your property is being recommended, or quietly skipped, in conversations you never see. Brand monitoring turns those conversations into a fixed list of questions, measured on the five AI surfaces travellers actually use, and repeated so you read a trend instead of an anecdote.
AI sessions measured across the sites we track, last 30 days.
Quick answer
AI brand monitoring for hotels measures, on a fixed list of questions repeated over time, whether an AI assistant names your property, whether it cites your website as a source, in what position and in what tone. In our own measurement pass of 3 and 4 September 2026 we ran 57 questions across 5 AI surfaces for 7 travel and hospitality domains, 285 measurements with zero errors, and the spread between surfaces was wide: 22 of the 57 questions produced a mention in Perplexity and only 10 of 57 in ChatGPT.
Named, cited, ranked and framed are four different results
Most tools report one number, visibility, and that number hides four different outcomes with four different fixes. Being named means the assistant wrote your property into the answer. Being cited means it linked your website as a source. Those two come apart: in the September pass Google AI Mode named a property on 14 of the 57 questions and cited its website on only 13 of them.
Position matters because an answer is a short list and the first item is the one a traveller acts on. When the property was named, the average position was 1.0 in Google AI Mode, 1.6 in ChatGPT, 1.9 in Gemini, 2.0 in Perplexity and 2.1 in Claude.
And the surface decides which lever you pull. In local queries, Google AI Mode cited Google entity cards rather than websites in 34 of 41 references we checked. Reading that as zero citations would send a hotel to rewrite content when the work is in its Google Business Profile.
A zero on one surface is a measurement fault until proven otherwise
The most useful thing we measured in September was our own mistake. A bug on our side returned 57 of 57 Gemini measurements as does not mention you, a clean, closed zero across an entire surface. It compiled, it wrote nothing to any log and it looked perfectly plausible as a business finding.
It was false. After the fix, the same questions on the same day returned 15 visible and 15 cited on that same surface. A monitoring product that cannot tell not measured from not mentioned will eventually tell a hotel that AI ignores it, which is the most expensive wrong answer in the category.
That is why every cell in the panel is painted three ways and not two: measured and mentioned, measured and not mentioned, and not measured with the reason attached.
How it works in reporte.ai
You keep a list of recommendation questions, the kind a traveller actually types, and the pass runs them weekly against the five surfaces. Every run is stored, so the table remembers what it measured last week instead of resetting each time you look at it. The unit cost is known and printed next to the button: 0.0040 USD per question on Google AI Mode, 0.0129 on Perplexity, 0.0415 on Gemini, 0.0456 on Claude and 0.0796 on ChatGPT.
That cost spread is a product decision, not trivia. Google AI Mode is 20 times cheaper than ChatGPT and in the September pass it found more mentions than ChatGPT did, 14 of 57 against 10 of 57, so it is the surface to measure most often. That was one pass, and a single reading proves nothing: what turns it into evidence is the cadence.
The rest of the picture lives one click away: how the assistants frame you when they do name you, who gets recommended instead of you, and how many visits any of it actually sends. For the underlying feature, see prompt analysis.
FAQ
Between twenty and sixty recommendation questions per property. Our own pass of 3 and 4 September 2026 ran 57 questions across 7 travel and hospitality domains, which produced 285 measurements on 5 surfaces with zero errors. Below twenty, a single change of wording moves the whole picture and you are reading noise.
The five people actually use: ChatGPT, Google AI Mode, Gemini, Claude and Perplexity. In the September pass the cost per question and surface was 0.0040 USD for Google AI Mode, 0.0129 for Perplexity, 0.0415 for Gemini, 0.0456 for Claude and 0.0796 for ChatGPT, so the cheapest surface is 20 times cheaper than the most expensive one.
Named means the assistant writes your property into the answer. Cited means it links your website as a source. They come apart: in the September pass Google AI Mode named a property on 14 of the 57 questions and cited its website on 13, and in local queries 34 of 41 of its references were Google entity cards rather than websites.
Yes, and it happened to us. A bug of our own returned 57 of 57 Gemini measurements as does not mention you. After the fix, the same questions on the same day returned 15 visible and 15 cited. A closed zero on one surface is a measurement suspicion before it is a business conclusion.
No, and the two scoreboards can point in opposite directions. Over a 30 day window our pixel recorded ChatGPT sending more than twenty times the next assistant, and that same ChatGPT produced a mention on only 10 of the 57 questions, the lowest of the five surfaces. Perplexity was the opposite: a sliver of that traffic and 22 of 57 questions. The live counts sit in the panel at the top of this page.
Weekly. A single pass is a photograph and the value is in the trend. Weekly cadence on 57 questions and 5 surfaces is 285 measurements, which is what we run ourselves and what makes a change readable rather than anecdotal.
Not always, and the surface tells you where the lever is. When Google AI Mode answers a local query it cites Google entity cards, 34 of 41 references in one test, so there the work is your Google Business Profile and not another page of content.
No. A ranking says where a link sits in a list. Brand monitoring records whether the answer names you at all, in which of the five surfaces, in what position and in what tone, on questions no ranking tool asks.