What does a hotel AI visibility audit actually cover?

The audit checks five things you can test and fix in about two hours: website readability, schema markup, NAP consistency, editorial presence, and whether AI tools currently name you. This walkthrough covers each one in order of impact.

Step 1: Do AI tools already name your hotel? (10 minutes)

Establish your baseline by running the same queries in ChatGPT and Perplexity separately and recording which tools name you, in what position, and with what description.

Open ChatGPT and Perplexity separately. Run each of these queries, substituting your city and property type:

  • “Best boutique hotels in [your city]”
  • “Independent hotels in [your city] with [your signature feature, e.g. lake view, rooftop, restaurant]”
  • “Where should I stay in [your city] for a long weekend”
  • “[Your exact hotel name]”

Record which AI tools name you, in what position, and with what description. This is your starting point. Run the same queries again after implementing fixes to measure improvement.

For Google’s own AI answers there is now a second source, and it needs no typing. Since June 2026, Search Console has been rolling out a separate performance report for its generative AI features (AI Overviews and AI Mode), which lists the pages of your site that appeared inside those answers. Read it beside the normal search report: our study of five hotels’ reports, The page that ranks first is not the page the AI names, found that the pages Google’s AI names are usually the guides tied to what the hotel is known for, and rarely the rooms or booking pages, so a booking page that is absent there is doing its job.

Step 2: Is your website readable by AI crawlers? (20 minutes)

AI crawlers read HTML, not JavaScript-rendered content. If your property description, room names, and key features are loaded by JavaScript, they may not be indexed correctly.

Test: Open your homepage. In your browser, go to View > Developer Tools > Network. Reload the page with JavaScript disabled (or use Chrome’s “Disable JavaScript” option in DevTools). What text is still visible?

Your property name, a clear description of the property, location, and at least one room type should be visible in plain HTML without JavaScript.

Also check:

  • Do your images have descriptive alt text? “DSC_1042.jpg” tells AI nothing. “Lake-view superior room with Alps in background” does.
  • Is there a clear <h1> on the homepage that includes your property name?
  • Is your full address in text on the homepage or contact page?

Step 3: Is your schema markup valid? (20 minutes)

Go to Google’s Rich Results Test and enter your homepage URL.

Check for:

  • Is there a Hotel or LodgingBusiness schema type present?
  • Does it include name, address, geo, and telephone?
  • Are there any errors (red) or warnings (yellow)?

If no schema is found, you have no structured data. See the hotel schema markup guide for implementation instructions.

If schema is found but has errors, fix those errors before anything else. A malformed schema is worse than no schema, because it can cause AI systems to misread your property details.

Step 4: Is your NAP consistent across platforms? (30 minutes)

NAP (Name, Address, Phone) inconsistencies across platforms cause AI systems to treat your listings as separate entities, diluting your signal, so check every platform against the table below.

Check your property name and address on each of the following:

PlatformYour listed nameYour listed address
Google Business Profile
Booking.com
TripAdvisor
Expedia
Your website

Every entry in the “Your listed name” column should be identical. Every entry in the “Your listed address” column should follow the same format.

Common inconsistencies to fix:

  • “Hotel” vs “Hôtel” vs no descriptor
  • Street abbreviations (St. vs Street vs Str.)
  • Phone numbers with vs without country code
  • Missing suite or building numbers on some platforms

Step 5: How strong is your editorial presence? (20 minutes)

Go to Google and search for "[your exact hotel name]" (in quotes). Count how many distinct sources mention you in the first two pages of results.

Then search "[your city] boutique hotel" OR "hotels in [your city]" and check whether you appear in any travel articles, lists, or reviews.

Editorial sources that AI systems were trained on include:

  • TripAdvisor reviews and response activity
  • Google reviews
  • Travel publication features (Condé Nast, Lonely Planet, local press)
  • Tourism board listings
  • Travel blog posts

If fewer than five distinct sources mention your property, your editorial presence is thin. This is the hardest problem to fix quickly but the most important long-term.

In what order should you prioritise the fixes?

Prioritise in this order: schema errors first, then website readability, then NAP inconsistencies, then llms.txt, then editorial presence.

  1. Schema errors (fix first, high impact, one-time fix)
  2. Website readability (fix second, high impact, one-time fix)
  3. NAP inconsistencies (fix third, medium impact, requires platform-by-platform updates)
  4. llms.txt (add after schema is clean, low effort, incremental signal)
  5. Editorial presence (ongoing, slower to take effect, highest long-term impact)

How long before you see results?

Most hotels see measurable improvement in AI search presence within 6-8 weeks of fixing schema and NAP issues. Editorial coverage takes longer to build and propagate into AI training data.

See how long hotel AI optimisation takes and how to track your hotel’s AI search visibility.