Will ChatGPT Recommend Your Tourism Business?

AI assistants can only recommend tourism businesses they can find, understand, compare, and justify. Here is what has to be obvious before your business will reliably show up in AI results.

Tourism operators 2 July 2026 8 minute read
Sketch-style robot planning a travel route between map pins, with a lake and mountains in the background.

What does ChatGPT need to recommend a tourism business?

AI assistants recommend businesses they can find, read, compare, and justify from credible public sources. For tourism operators, that means making your offer, customer fit, and the proof obvious.

What do you offer?

This is simple and hard all at once. But seriously, just speak plainly. What is your experience or service? Where are you? What can customers expect (what is included, how to book, prices and age ranges etc). If a stranger could not explain your offer after one page, an assistant cannot either.

Who is your experience right for?

Travellers plan around children, older parents, weather, group size, budgets, and energy levels. The more specific the traveller's situation, the more specific your public information needs to be.

What proof backs up your claims?

Reviews, destination listings, business profiles, awards, photos, policies, and consistent contact details. If those signals disagree with each other, the assistant has to work harder.

The companion prompt sits further down the page: run the first-pass check.

A traveller asks ChatGPT, Gemini, Copilot, Perplexity, or Google AI Mode where to stay in Queenstown, what to do with kids in Tekapo, or which boutique lodge near Wānaka suits a winter trip. How does AI decide who gets included in their answer?

It is not magic. The work is more practical than that, and far less exciting to the people selling sneaky AEO / GEO tricks.

AI assistants tend to recommend the businesses they can find, read, compare, and justify from credible public sources. For tourism operators, that means the practical details on your website, listings, reviews, destination profiles, and booking pages are doing more work than ever.

The question to ask yourself is simple:

Can an AI assistant understand who we are for, what we offer, where we are, why we are credible, and how someone books?

If the answer is fuzzy, your visibility will probably be fuzzy too.

Can ChatGPT understand your tourism offer?

The questions travellers ask AI are often comparison questions.

Visitors have moved beyond searches like "accommodation Wānaka" or "Queenstown activities". They are trying to answer specific questions like:

Those questions need more than polished marketing copy.

"Luxury accommodation in a stunning location" does not tell an AI much. Luxury how? Where exactly? For whom? How many people? What is nearby? What happens in winter? Is it good for children? Is it peaceful, social, remote, central, self-contained, serviced, accessible, flexible, or pet-friendly?

AI tools like ChatGPT, Gemini and Claude need enough detail to make a well-reasoned recommendation. This is not rocket science. Write to make it easier for humans to make better decisions. The knock-on effect of this is machine readability gets much easier.

Do SEO basics still matter for AI search?

The evidence is refreshingly unglamorous.

Google's guidance for generative AI features in Search says core SEO practices still matter because AI search features rely on Google's existing Search systems. Microsoft has also started giving site owners AI visibility reporting through Bing Webmaster Tools, showing when pages are cited in AI-generated answers. OpenAI documents a separate search crawler, OAI-SearchBot, for surfacing websites in ChatGPT search features.

In plain English: AI search has not made website basics irrelevant. It has made them harder to ignore.

Your important pages still need to be:

The acronyms will keep multiplying. AEO, GEO, AI SEO, whatever the next one is by Friday afternoon. Don't get bamboozled by that. Start with the basics. They still carry weight.

What should tourism businesses make clear online?

For tourism businesses, AI visibility depends on three things.

The offer: a traveller, search engine, or AI assistant should be able to understand what you sell, where it is, how it works, what is included, how to book, and what practical constraints apply.

For accommodation, that might include location, capacity, bedrooms, bathrooms, views, parking, transport, amenities, nearby activities, family suitability, accessibility considerations, seasonal notes, pricing signals, booking path, and cancellation details.

For activities, attractions, and visitor experiences, that might include duration, age suitability, fitness level, weather dependency, transport, pickup points, what guests need to bring, safety notes, accessibility, ideal visitor type, pricing signals, and cancellation details.

The fit: tourism decisions are rarely abstract. People are planning around children, older parents, mixed budgets, weather, time, transport, group size, energy level, food, views, risk tolerance, and the emotional tone of the trip.

The more specific the traveller's situation, the more specific your public information needs to be.

The proof: AI assistants need credible signals that support the recommendation. Reviews, destination listings, Google Business Profile, Bing Places, national tourism listings, awards, media mentions, photos, policies, and consistent contact details all help build confidence.

If those signals disagree with each other, the assistant has to work harder. Sometimes it will work around you.

Where do tourism websites confuse AI tools?

The weak points in tourism websites are often quite ordinary.

Often websites answer "what is this?" but don't clearly explain "is this right for me?"

That last one is the killer.

Tourism operators often know their destination and experience so well that they forget how much context visitors are missing. AI assistants have the same problem, at speed. If the context is not published clearly, they cannot reliably use it.

Should you build website pages for AI?

The fastest way to make this weird is to start writing pages that sound like they were assembled for a machine.

Forget the thin question pages, repetitive "AI search" phrasing, schema markup claiming things that are not visible on the page, and treating llms.txt as the whole strategy.

Better decision pages usually come from real visitor questions.

What do people ask before they book? What do they misunderstand? What do they compare you with? What makes the right guest say yes? What makes the wrong guest self-select out before everyone wastes time?

A strong page helps someone make a decision. It gives the AI better material because it gives the traveller better material.

That is the work.

Can ChatGPT understand your tourism website?

This is a surface-level check. It will show you where to look first. Pick one important page, probably a property page, activity page, tour page, or destination guide. Then ask:

  1. Would someone understand what you offer without already knowing your business?
  2. Is the location specific enough to plan around?
  3. Does the page explain who this is best suited for?
  4. Are practical decision details visible before the booking step?
  5. Do your reviews, business profiles, destination listings, and direct website tell the same story?
  6. Could an assistant confidently explain why this option fits one traveller better than another?

If those answers are weak, do not start with a rebuild. Start by making the public information clearer, more specific, and more consistent.

First-pass ChatGPT website check prompt

Use this as a first-pass check, not a final audit. Replace [your website address] with the site you want reviewed, then paste the full prompt into an AI assistant with browsing or website-reading access.

The output should help you spot likely issues and ask better questions. It cannot confirm everything from the outside, especially live booking data, crawler access, platform configuration, or anything hidden behind logins, forms, scripts, or booking systems. Treat anything marked "needs manual confirmation" as a follow-up question for your developer, SEO specialist, platform vendor, or booking engine provider.

Typing an address here only fills it into the prompt text below, on your device. Nothing is sent or stored anywhere.

First-pass website check
You are helping me audit a tourism, accommodation or activity website for SEO, AI visibility and crawlability.

Website to check: [your website address]

My goal is to understand whether travellers, search engines and AI tools can access the useful information someone needs before booking.

Review the actual website output, including what the site appears to show visually and what crawlers or AI systems can read. Look for content humans can see that is hidden, blocked, thin or hard for crawlers and AI systems to read.

Check:

1. Crawlability and access
   Can Google, Bing and AI search tools read the important public pages? Check robots.txt, sitemap, indexability, obvious blocked pages, booking subdomains and whether important pages appear accessible to Googlebot, Bingbot and OAI-SearchBot.

2. Visible versus crawlable content
   Compare what a human can see with what appears in the page source or crawlable HTML. Look for important content hidden in JavaScript, tabs, accordions, pop-ups, widgets, iframes or booking tools. Also flag duplicated, outdated, irrelevant or suspicious hidden content.

3. Booking experience
   Check whether prices, availability, session times, room/tour options, booking conditions and booking links are visible and understandable outside the booking engine. Clearly separate:

* static prices visible on the main website
* live availability visible in the booking engine
* booking-stage details that need manual confirmation

Check whether a crawler or AI system could answer questions like:

* What is available tomorrow?
* What times are available this weekend?
* Can I book for two adults and one child?
* What does it cost?

4. Structured data
   Check whether schema/structured data is present and accurate for the business, products/tours/rooms, offers, FAQs, reviews, prices, location and breadcrumbs. Flag missing, duplicated, conflicting or misleading schema.

5. Traveller usefulness
   Assess whether the site answers practical pre-booking questions:

* who it is for
* where it is
* what is included
* what to expect
* how to book
* suitability for families, groups, couples, accessibility needs or specific trip types
* relevant local context, such as transport, seasons, weather, nearby activities, food, trails, ski fields or other trip-planning details

6. Trust signals
   Check whether the business looks real, current and reliable. Look for consistent name, address, phone, email, location, reviews, awards, policies, social links, Google Business Profile, Tripadvisor, OTAs or other external listings.

7. Platform, booking engine or vendor limits
   Flag issues that appear to originate in the website platform, PMS, booking engine, template, widget or vendor setup.

Output the findings in this structure:

A. Plain English summary
Is the site easy for travellers, search engines and AI tools to understand? What is the biggest issue?

B. What looks good
List what is already working.

C. What needs attention
Separate issues into:

* operator/content issues
* developer or SEO issues
* platform, PMS, booking engine or vendor issues

D. Crawlability and visibility risks
Explain what may be invisible, blocked, hidden behind JavaScript, trapped in widgets or hard for AI/search systems to read. Include whether the site can answer date-specific booking questions from crawlable content.

E. Structured data and trust signal issues
Explain whether structured data and trust signals appear accurate, useful and consistent.

F. Top 5 priority fixes
For each fix, say:

* what to fix
* who likely needs to fix it, operator, developer, SEO specialist or vendor
* why it matters
* urgency

G. Questions to ask the developer, SEO specialist or platform vendor
Give me practical questions I can send to the technical person or vendor.

Important:

* Use plain English.
* Do not overstate what you can verify.
* Mark anything as "needs manual confirmation" if it cannot be checked from the outside.

What does the result mean?

A self-check can show obvious gaps. The deeper work is working out the cause.

Content
Sometimes the issue is copy. The business is strong. The page is too vague.
Structure
Sometimes the issue is structure. The right information exists. It is buried, scattered, or disconnected.
Technical access
Sometimes the issue is technical. Search engines and AI systems cannot reliably access what visitors can see.
Platform and booking setup
Sometimes the issue is the platform or booking engine. The system is good at transactions and poor at discovery.

These are different problems. They need different fixes. AEO is not Curiosity's core service, but Nadia can help you frame the question and make introductions to the right specialist. Email Nadia if you'd like to find out more.

What should you fix first?

AI visibility works when your tourism offer is easy to understand, easy to compare, and easy to trust.

If your website and public profiles make the right details obvious, AI assistants have something solid to work with. If those details are vague, hidden, inconsistent, or trapped inside booking flows, the assistant may reach for clearer sources, including destination websites, OTAs, review platforms, editorial guides, or competitors.

Make the offer obvious. Make the fit obvious. Make the proof obvious.

That is a better starting point than chasing whatever the internet has decided to call AI search this week.

Helpful sources on AI search

This is a short source list for the public resource. Deeper implementation work should use a claim-level source register and live checks against the business's actual website, profiles, listings, and booking setup.

  1. Google Search Central. "Optimizing your website for generative AI features on Google Search." Official Google documentation. Google Search Central guide
  2. OpenAI. "Overview of OpenAI Crawlers." Official OpenAI documentation. OpenAI crawler documentation
  3. Microsoft Bing. "Introducing AI Performance in Bing Webmaster Tools Public Preview." Official Microsoft/Bing product announcement, 10/02/2026. Bing Webmaster Tools announcement
  4. Google Search Central. "Google Search technical requirements." Official Google documentation. Google Search technical requirements
  5. Google Business Profile Help. "Edit your Business Profile." Official Google documentation. Google Business Profile guidance
  6. Bing Places for Business. Official Bing Places documentation. Bing Places for Business