When AI 
recommends a lodge, is it yours?

A fixed-price audit of how your property appears to Claude, ChatGPT, Perplexity, and Gemini. What's working, what's missing, the fixes worth doing, and what it's costing you in bookings if you don't.

Travellers stopped researching.
They started asking.

Using AI to plan trips has doubled in popularity in the last year alone. The recommendations the engines give are decided by a specific stack of signals, and most independent New Zealand properties don't show up in them, yet.
Each engine has its own way of deciding what to recommend.

The signals it weighs, the sources it trusts, the patterns it looks for.

Here's what Claude returned when asked for the top three lodges on the South Island.
Blanket Bay
Hapuku Lodge + Tree Houses
The Lindis
Each engine has its own way of deciding what to recommend.

The signals it weighs, the sources it trusts, the patterns it looks for.

Here's what ChatGPT returned when asked for the top three lodges on the South Island.
Blanket Bay
The Lindis
Huka Lodge*
Each engine has its own way of deciding what to recommend.

The signals it weighs, the sources it trusts, the patterns it looks for.

Here's what Perplexity returned when asked for the top three lodges on the South Island.
Blanket Bay
Matakauri Lodge
Minaret Station
Each engine has its own way of deciding what to recommend.

The signals it weighs, the sources it trusts, the patterns it looks for.

Here's what Gemini returned when asked for the top three lodges on the South Island.
The Lindis
Blanket Bay
Rosewood Matakauri

A deep dive into how AI is interpreting your property.

Our audit is a one-week process that starts with a short conversation about your property and the guests you want more of, followed by a behind-the-scenes analysis where we trace the gaps in your visibility, and finishes with a clear written report and walkthrough call.

Step
01
The Intake
15-minute call about your property
Define the guest types you want more of
Review your direct vs OTA booking mix
Identify competitors winning the right bookings
Step
02
The Audit
Queries tested across ChatGPT, Claude, Gemini, and Perplexity
Analysis of which properties get recommended and why
Website structure and schema review
OTA listing and Google Business Profile analysis
Review pattern and authority signal assessment
Step
03
The Walkthrough
High-priority quick wins vs long-term fixes
Breakdown of your strongest and weakest discovery signals
Direct booking opportunity analysis
OTA consistency and positioning review
Recommended implementation roadmap
30-minute walkthrough call

See where your property actually stands.

A short conversation is all it takes to begin. From there, the audit runs in the background and ends with a clear picture of where you sit, what's holding you back, and what to fix first.
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Your questions, answered.

Will this actually move bookings?

It depends on how big the gap is, and whether you do the work. The bookings math section of the report shows you what a reasonable lift looks like at your current rate and occupancy. If your signals are already strong, I'll tell you so, and the report becomes a useful baseline you can check again in a year. Which is worth having on its own.

Can I implement the fixes myself?

Most properties can, yes. The fix list is written so your existing web person can work through it, or you can, if you're hands-on. If you'd rather not, we can talk about working together on a small monthly retainer to handle the fixes for you. Most clients won't need that. But the option's there if you want it.

Do I need to give you access to anything?

No logins. No passwords. No admin access. Everything I look at is publicly visible, your website, your OTA listings, your Google Business Profile, your reviews. All I ask for is a 15-minute intro call so I can understand your property and choose the right queries to test.

Why not just hire an SEO agency?

Different problem. SEO agencies optimise for Google rankings. The signals these engines weigh overlap with traditional SEO in places but aren't the same set. They care more about structured data, third-party mentions, and review consistency, and they more or less ignore the backlink counts Google has always cared about. A standard SEO audit will miss most of what matters here. If you already have a solid SEO setup, this sits alongside it.

What if the AI engines change how they recommend things next month?

They probably will. The underlying signals they read (your schema, your reviews, your editorial coverage, your OTA consistency) change much more slowly than the engines themselves. Fixing those signals is the work that holds up regardless of which engine is dominant six months from now. The audit is built around what lasts, not what's currently trending.