Methodology

How we measure AI visibility.

When a traveler asks an AI assistant where to stay, does your hotel get named? This is exactly how RevPARGenius Hotel AI Visibility finds out — and why the numbers hold up.

The short version

Every day, we ask the major AI assistants the real questions travelers ask, record their answers word-for-word, and measure whether your hotel is named, where it ranks, how it's described, and which sources the AI used to decide. Every number on your RevPARGenius Hotel AI Visibility dashboard links back to the actual answer that produced it.

How it works

A simple loop, run on a daily schedule.

1
We define the questions
A set of real traveler prompts for your market and guest type — "best boutique hotels in Hoi An," "where to stay in Queenstown for a couple," "family hotels near the old town."
2
We ask the AI engines
Each prompt is sent to the live, web-connected version of each assistant — so we capture what a traveler would actually see today, not the model's older training data.
3
We record everything
The full answer text and the exact source URLs each engine cited are stored, timestamped, and tagged with the model that produced them.
4
We measure
For every answer: were you named, at what position, in what tone, and against which competitors.
5
We track the trend
Results are stored every day, so you see movement over time — not a single snapshot that could be a fluke.

What the numbers mean

Four metrics, each defined the same way every time.

Visibility

The share of your tracked prompts where the AI names your hotel. Your headline number.

Position

When you're named, where you rank in the answer — first, third, eighth.

Sentiment

How the AI describes you, scored 0–100 from negative to positive.

Cited sources

The websites the AI read to build its answer — Booking.com, TripAdvisor, your own site. This shows what's shaping your reputation.

The engines we track

The assistants travelers actually use, queried through their official interfaces with live web search — each returning real citations.

ChatGPT Perplexity Gemini Grok

Google AI Overview, Google AI Mode, and Microsoft Copilot don't offer a direct interface, so we capture them from live search results and label them as such — measured a little differently, and shown transparently.

Why you can trust it

Built on evidence, not assertion.

—Every number has a receipt
Click any metric to read the actual AI answer and the citations behind it. Nothing is a black box; we report what the engine literally said.
—Citations come from the engines themselves
The AI tells us which sources it used. "Booking.com cited 31 times" is the engine's own data, not our interpretation.
—We run daily and report trends
AI answers naturally vary between runs, so a single check is noise. We measure rates across many runs over time, so the trend is real.
—"Mentioned" is a hard match
Whether your hotel was named is decided by exact text-matching against your name and its variants — provable, not a matter of judgment.
—Consistent, dated, reproducible
Every result is timestamped and tagged with the model that produced it, defined the same way each time — so the numbers are comparable week to week.

What we're honest about

Confidence comes from knowing the edges.

AI answers personalize. Results vary by individual user and location. RevPARGenius Hotel AI Visibility measures a consistent, defined baseline for your market — not every traveler's exact screen.

The engines change. Models are updated frequently, which can shift results independent of anything you do. We flag large movements rather than overstate them.

This is decision-support. AI visibility is directional market intelligence to guide strategy and content — a sharp instrument for where to act, not a guarantee of any single outcome.

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