AI Visibility · FAQ
AI visibility, answered honestly.
How we measure what AI says about your hotel, why your score moves between scans, why your own spot-check can disagree with your dashboard, and what actually moves the number. Short answers here; the deep dives are one link away.
AI visibility basics
What is AI visibility?
AI visibility is whether — and how prominently — AI assistants like ChatGPT, Google AI, and Perplexity recommend your hotel when a traveler asks them where to stay. Instead of ten search results, the assistant gives back two or three named hotels. AI visibility is whether yours is one of them.
What is AI visibility — the full explainer →Why does AI visibility matter for my hotel?
Because the moment a traveler decides which hotels are even worth considering is moving out of the search box and into the AI assistant. Around 44% of travelers already use AI to help plan trips (Simon-Kucher, 2026). When the AI names only a handful of properties, being left out means being invisible at the exact moment of discovery — before the guest ever reaches your site.
Isn't this just SEO with a new name?
No. SEO ranks you in a list of ten results, where you can sit at position seven and still earn the click. An AI assistant returns a short answer — usually two or three hotels — with no page two to climb onto. Visibility shifts from a gradient to something close to binary: you're in the answer, or you're not in the conversation. The work that improves it is different too.
How the scan works
How does Sigtrip measure AI visibility?
Every day we ask the major AI assistants the kinds of questions real travelers ask — “best boutique hotel in Lisbon,” “family-friendly resort near Tahoe” — and read back exactly where and how your hotel shows up. We track whether you're mentioned, how you rank against other properties, the sources the AI cited, and whether it sends bookers to your own site or to an OTA.
Inside the measurement methodology →Which AI engines does Sigtrip check?
Free and Lite track ChatGPT. Pro adds Perplexity and Google AI (Gemini) at no extra cost. On any paid plan you can add more engines — Perplexity, Google AI, Anthropic Claude, DeepSeek — for $20 per hotel per month each. Enterprise plans can run a custom engine mix.
What are personas, and why do they matter?
Personas are the traveler types you care about — couples, families, business travelers, budget-conscious guests — and Sigtrip re-runs your questions for each one. The AI answers differently depending on who's asking, so personas are how you discover that you're recommended confidently to couples but overlooked for families. Lite includes 3 personas, Pro includes 5, and you can add more for $20 / hotel / month.
What's the difference between Visibility Index, Mention Rate, and Blind Spot?
Visibility Index (0–100) is your headline score — rank- and engine-weighted, so being named first on a high-reach engine counts most. Mention Rate (0–100) is simpler: how often you show up at all, ignoring rank. Blind Spot (0–100) is the mirror image — where you're missing — broken down by theme and engine so it reads as a to-do list. All three come from discovery questions, where your hotel isn't named in the prompt.
How each score is computed →What is Booking Path Integrity?
When an AI explains how to book your hotel, Booking Path Integrity (0–100) measures whether it points the guest to your own site or to an OTA. A 100 means the AI consistently sends bookers direct; a 0 means it routes them through third parties. Being recommended but handed to Booking.com is a half-win, and this score makes that visible.
Reading your results
Why does my score change so much between scans?
AI assistants are non-deterministic — ask the same question twice and you can get different hotels back. That's how the models work, not a flaw in the measurement, so small day-to-day moves are usually noise rather than news. Sigtrip estimates a normal noise band for your specific hotel and only flags moves that clear it. The bigger causes of real change are model updates from the AI providers and edits you've made.
Reading the signal through the noise →I asked the AI the same question and got a different answer than my dashboard — why?
That's expected. One manual test is a single sample of a noisy system — one roll of the dice. Your dashboard score is built from thousands of samples across every engine and persona, every day. A single miss in your own test is completely consistent with a healthy score, the same way one coin landing tails tells you nothing about a coin that's 72% heads.
Why one test misleads →How reliable is the score, then?
Reliable as a trend, not as a single reading — which is exactly how it's designed. We sample thousands of AI answers a month, read each with a two-pass detector (a fast literal match plus an LLM that catches paraphrases and judges rank), weight engines by reach, and estimate a noise band so you know which moves are real. We're deliberately honest that we're measuring a stochastic system: we label the uncertainty rather than smoothing it into a falsely straight line.
The methodology in full →My score dropped on one engine but not the others — what happened?
A move concentrated on a single engine is most often that provider updating its model. OpenAI, Google, and the others ship updates constantly, often unannounced, and a new version can shift which properties it favors for everyone at once. We watch for this pattern. A drop across all engines at once, or one that follows a change you made, points to a different cause.
Improving & acting
What should I do to improve my AI visibility?
Start by measuring where you're invisible — by theme, engine, and persona — then feed the model facts it can verify. The big levers: make sure you're tested on the questions that matter (your neighborhood, nearby landmarks, the things you're known for), close persona gaps, win the contested questions where a competitor is named instead of you, fix the booking path so the AI points to your own site, and correct anything the AI gets wrong.
The levers that move the score →I edited my prompts or hotel details — when will I see the change?
On the next daily scan. Edits don't re-run your scan on the spot; they're picked up the following day so your tracking history stays consistent rather than shifting mid-day. Give it a day before reading the result of a change.
Can Sigtrip improve my visibility for me, not just measure it?
Yes — on Enterprise. Every plan measures your AI visibility; Enterprise adds done-for-you GEO and AEO optimization, run continuously on your behalf with no extra headcount. That's the always-on work of making your facts verifiable, closing blind spots, and keeping your booking path pointed home.
Done-for-you GEO & AEO →How is Sigtrip different from other AI visibility tools?
Most tools are built to track how AI talks about any brand, see only one engine, or belong to an OTA optimizing for itself. Sigtrip is built specifically for hotels — multi-engine, persona-aware, comp-set-aware — and it doesn't stop at “you were mentioned.” It measures the booking path and connects measurement to optimization to direct, commission-free booking inside the AI conversation.
AI visibility tools, compared →Stop guessing whether AI recommends you. Measure it.
A free scan asks the major assistants the questions real travelers use and shows you exactly where you appear, where you don't, and who gets recommended instead.