When a traveler asks AI for a boutique hotel, it returns a short list. If yours isn't on it, I find why, and what to fix first.

The Problem

Showing up isn't enough on its own. I audited a property that had earned a Michelin Key. That recognition was on their website. It wasn't anywhere AI looks first. Ask ChatGPT about them and you get a reasonable description: boutique hotel, good location, thoughtful design. The Michelin Key never came up. Neither did the reason they earned it.

It's the same pattern across properties. A clarity problem, not a technology problem. And it's fixable.

Most independent properties have no way to check what AI says about them. Chains have corporate teams for this. You don't.

The Service

The AI Visibility Audit

The value isn't the search result. It's the decision that comes after. I find where your property's signal breaks, trace it to the cause, and tell you the highest-impact fix to make first. Ranked by what wins bookings, not by technical complexity.

Reading what the major AI platforms currently say about you, where your strengths aren't coming through, where the description is incomplete or wrong, is the input. The prioritized fix plan is the product.

Each audit is specific to your property. This is not an automated tool. You walk away knowing what to change and in what order, in plain language written for an owner, not a developer.

No retainers. No implementation packages. One deliverable.

Why it works

AI platforms don't recommend properties at random. They look for fit, confidence, and evidence. A property that matches what the traveler described, with consistent and specific information across enough sources, gets the recommendation. One that doesn't stays visible but doesn't get chosen.

Most properties have the fit. What breaks down is the evidence layer. The specific features, the guest profile, the reason someone picks this place over the one down the road. Often those things are on the website. But they're not on the platforms AI reads first, or they're described differently across sources, or they're buried in copy AI doesn't parse well. None of it comes through in a recommendation.

The audit identifies exactly where that breaks down. Not in general terms. For your property specifically. That's what makes the fix list actionable.

About

I spent 15 years in fraud prevention. Building departments from scratch, writing the processes, developing the people who made real-time calls on incomplete data.

The framework for building a fraud department was always the same. Documentation first. Process second. Systems last. Not because the systems don't matter. Because systems don't fix broken processes. They magnify them. Every team that skipped ahead to the tools found that out.

Pattern recognition is pattern recognition.

AI visibility for hotels has the same failure mode. Most advice goes straight to the systems layer. Schema markup, Google Business Profiles, TripAdvisor listings. Good recommendations, but in the wrong order.

If a hotel's documentation is incomplete, or the platforms are telling different stories, AI sees the conflict and falls back to a category description. Boutique hotel. Good location. Thoughtful design. None of it enough to make someone choose you over the property down the road.

The audit starts at the documentation layer. That's where the signal actually breaks down. I'm good at finding where it breaks and deciding what to fix first. That's the same call I made for fifteen years, in a different domain.

Writing

• The Guest Already Asked AI. You Just Don't Know It Yet.

  The moment the booking conversation moved to AI, and most hotels weren't in the room.

• The Booking Funnel Just Moved. Independent Hotels Weren't Part of the Move.

  How AI became a booking surface before the industry had time to prepare.

• Why AI Still Gets Your Hotel Wrong After You Fixed It

  The sequencing error behind most AI visibility advice, and where the fix actually starts.

Common Questions

• What AI platforms does the audit cover?

  ChatGPT, Google Gemini, Perplexity, and Google AI Overview. Those are where most travelers are asking recommendation questions right now.

• Is this the same as an SEO audit?

  No. SEO audits test for traditional search rankings. This tests how AI platforms currently understand, describe, and recommend your property. Those are different problems with different fixes.

• What if AI already describes my property correctly?

  Most properties that look accurate in a direct search still fail in recommendation searches. When a traveler describes a need rather than searching by name, the property doesn't appear. The audit tests both. If yours passes both, you'll know that with confidence.

• Do I need to be technical to act on the findings?

  No. The report is written for an owner, not a developer. Each fix is explained in plain language with a clear priority order. Most can be handed off to a web person or handled directly.

• How long does it take?

  You get the full written report within five business days of confirmed engagement.