Industry Insights

How RevPARGenius Measures Hotel AI Visibility

By RevPARGenius Editorial Team
Back to Insights
Methodology Hotel AI Visibility · May 2026

Hotelier Guide · May 2026 · RevParGenius Intelligence · Last reviewed May 2026

The Short Answer

RevPARGenius measures hotel AI visibility by asking four live AI engines — ChatGPT, Perplexity, Gemini and Grok — the real questions travellers use, several times a week. Each answer is parsed to record whether your hotel was mentioned, in what position, with what sentiment, and which sources were cited. Those signals roll up into a 0–100 visibility score, benchmarked against your competitors. It's a repeatable, transparent measurement — not a one-off guess.

"Are we visible to AI?" is only a useful question if the answer is measured the same way every time. Here's exactly how RevPARGenius does it — so you can trust the number and see what moves it.

The method has four steps: define the prompts, query the engines, parse the answers, and score the result. Each is designed to be consistent and repeatable, because a visibility number is only meaningful as a trend.

The method at a glance

4
Engines queried live
Per week, automatically
10+
Traveller prompts tracked
0–100
Composite visibility score

Step 1 — Define the prompts

We track the questions guests actually ask an assistant — "best boutique hotels in [city]," "where to stay in [city] for couples," "luxury hotels near [landmark]" — tailored to your market and guest segments. These are buyer-intent prompts, not corporate keywords, because they reflect the moment a traveller is choosing where to book.

Step 2 — Query the engines live

Each prompt is sent to ChatGPT, Perplexity, Gemini and Grok through their live, web-connected modes — the same way a traveller would experience them today, not a stale snapshot. Because each engine retrieves from a different source (ChatGPT via Bing, Perplexity in real time, Gemini grounded in Google), querying all four shows the full picture rather than one engine's view.

Why three times a week

AI answers shift as models update and competitors move. A single check is a snapshot; a repeated check is a trend. Three times a week is frequent enough to catch a drop quickly without spending on noise.

Step 3 — Parse every answer

Each raw answer is analysed to extract four things: whether your hotel was named (a deterministic name-match, not a guess), the position it appeared in, the sentiment of how it was described, and the sources the engine cited. Competitor mentions are extracted the same way, so every answer becomes structured, comparable data instead of a wall of text.

Step 4 — Score it 0–100

The visibility score is led by your mention rate — how often you're named across all prompts and engines — and adjusted by position and sentiment, so being named first and described well counts for more than a buried, lukewarm mention. The result is a single number you can track over time and compare against your comp set, plus recommended actions for the gaps.

Because the prompts, engines and scoring stay consistent run to run, the trend line is honest: a change in your score reflects a real change in how AI sees you, not a change in how we measured.


RevParGenius Take

Trustworthy measurement is repeatable measurement. Same prompts, same engines, same scoring — run after run — so the trend means something.

That discipline is the difference between "I asked ChatGPT once and panicked" and a real signal you can act on and re-measure.

Frequently asked questions

How is the visibility score calculated?

It's led by your mention rate — how often AI names your hotel across all tracked prompts and engines — then adjusted for position (where you appear) and sentiment (how you're described), producing a single 0–100 figure you can track over time.

Are the engines queried live or from a saved snapshot?

Live. Each prompt is run against the engines' current, web-connected modes, several times a week — so the result reflects what a traveller would actually see today, not a cached answer.

Why track four engines instead of just ChatGPT?

Each engine retrieves from a different source, so they recommend different hotels. Tracking ChatGPT, Perplexity, Gemini and Grok shows your true coverage instead of one engine's slice of it.

RevParGenius Hotel AI Visibility

A measured answer, not a guess.

See the full methodology and exactly how your hotel scores across ChatGPT, Perplexity, Gemini and Grok.

Read the full methodology
Explore Hotel AI Visibility

4 live AI engines, refreshed 3×/week at app.revpargenius.com

Sources: RevParGenius product methodology; engine retrieval behaviour (ChatGPT/Bing, Perplexity, Gemini/Google, Grok), 2025–2026. Last reviewed May 2026. RevParGenius is an independent hotel market intelligence platform — not affiliated with any OTA, revenue management system, or hotel chain.


Research Methodology: RevPARGenius is an independent research and analytics platform exploring hotel market demand and pricing behavior using publicly available and third-party data sources. RevPARGenius is not affiliated with, endorsed by, or connected to any revenue management software provider. RevPARGenius does not provide revenue management services, pricing optimization services, or direct hotel management services. The information provided is for research, market intelligence, and informational purposes only.

Independent Hotel Intelligence

Ready to see your market demand?

Request a personalised market intelligence brief for your property — competitive set analysis, demand signals, and pricing recommendations.

Request Market Analysis Try ROI Calculator
Run Demand Analysis Free
RevEyeQ
RevEyeQ Market Intelligence Assistant • Online

See the market before it moves.

Get live demand analysis, competitor pricing intelligence, and strategic revenue guidance — powered by AirDNA + Booking.com data.

Your session has ended.

Ready to go deeper? Our team can run a full market intelligence report for your destination.

Contact Our Team

hello@revpargenius.com

We typically respond within one business day.

20 of 20 questions remaining

Disclaimer: RevEyeQ provides directional hotel revenue intelligence based on available live data and market signals. It may occasionally miss context, contain data gaps, or produce imperfect interpretations. Please use this analysis as a decision-support tool, not as the sole basis for pricing action. For a more accurate review, tailored recommendations, or commercial support, please email hello@revpargenius.com.

Looking to improve pricing performance automatically? Hotels using automated dynamic pricing typically benefit from forward-looking market monitoring, multiple daily rate updates, 365-day pricing coverage, user-controlled rate guardrails, and real-time response to demand shifts, events, and competitor movement. Many properties also see meaningful revenue uplift, time savings, and better consistency than manual pricing alone. If you'd like recommendations on whether this approach fits your property, email hello@revpargenius.com.