AI Visibility Audit for Independent Hotels

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.

Not a score, and not a list of problems. The specific reason the right guests are being pointed elsewhere, and the highest-impact fix to change it.

What is AI costing you in bookings?

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 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.

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.

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Find out where the right guests are being sent instead.

Send me your property and location. I'll run a quick pre-screen and show you the gap, plus what it would take to fix it. If you represent a group of properties or an association, tell me what you're working on.

You'll hear back within one business day.