A useful AI visibility audit for a hotel tests the questions guests actually ask, by revenue centre, across the main AI engines. It should show which competitors are named instead, which facts AI gets wrong, which sources it relies on and which fixes would move bookings fastest, split by who can make them.
Which questions should a hotel audit test?
The ones guests type, grouped by revenue centre: rooms and suites, dining, afternoon tea, spa, events and weddings, and occasions such as anniversaries and proposals. Most should not name your hotel, because a question that names you cannot test whether guests find you. Each should carry one distinguishing need that at least five real competitors could fairly answer.
A useful audit tests 100 or more such questions and lets you approve the list before testing starts, so the baseline is one you recognise.
Which AI engines should it cover?
ChatGPT, Google Gemini, Anthropic Claude, Perplexity and Microsoft Copilot as a minimum, because they draw on different sources and disagree with each other. Google AI Overviews and AI Mode are better read through your own Search Console data than through scraped tests.
Every answer should be read by a person. Automated labelling routinely counts a citation as a recommendation, which flatters the score and hides the gap.
How do you measure AI search visibility?
Label each answer Featured, Mentioned or Not present. Score Featured at 1, Mentioned at 0.5, divide by the number of questions and multiply by 100. State how many questions, engines and runs the figure rests on, and treat a single run as a snapshot rather than a rate, because repeated runs rarely return the same brand list.
Benchmark the same questions for your competitors so the result is a share of voice, not a number in isolation.
Source: sAIph methodology; SparkToro, Jan 2026.
What should the action plan contain?
Every finding translated into an action with an owner: your team, your brand or the agency. Actions in priority order and in phases, with the quick wins first, then the changes that need brand or developer support, then the off-site work that compounds over months. Each action should say what to change, why it matters, how to do it and what to watch on the re-test.
A plan without owners is a report. A plan with owners is a programme your own team can start this month.
How does a free Snapshot compare with a full audit?
A Snapshot tests around ten questions, shows who is recommended instead of you, quotes what the engines say and gives you a handful of fixes. It takes two working days and tells you whether there is a gap worth closing.
A full audit tests 100 or more questions across five engines, reads your whole site the way a crawler does, maps every source the engines rely on and delivers a phased plan with an owner for every action, plus re-tests at day 30 and day 90. The sAIph AI Search Audit costs £4,600 and takes four to eight weeks. What the audit includes →
The key takeaway: a hotel AI visibility audit is only useful if it ends in fixes someone owns.
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