How to Get Your Tours Recommended by ChatGPT, Claude and Other AI Assistants

Travelers have started asking assistants instead of browsing lists. "Small group sunset cruise in Santorini for a couple." "Food tour in Rome under 75 euros." The assistant answers with three or four names. Getting your tours recommended by ChatGPT, Claude, Gemini or Perplexity is not a trick you can buy. It is the by-product of being easy to verify.

This article is our research file on how that works in October 2026: what the data shows (and what it does not), how assistants assemble an answer about tours, the four pillars operators can work on, and a short technical checklist. One boundary first: this is about being visible to the AI your future guests talk to. Using AI inside your operation is a separate topic, covered in AI for Tour Operators: What to Automate in 2026.

Why AI Recommendations Matter for Tour Operators Now

The traveler side is moving. ABTA's Holiday Habits research (published 13 October 2026, 2,082 UK adults) found that 14% used AI for holiday inspiration in 2026, up from 8% in 2025 and 4% in 2024. Inspiration is not a booking, and traditional sources still lead. But the curve is steep, and it starts before the traveler has picked an operator.

The marketing side noticed too. In Google's Keyword Planner, searches for "answer engine optimization" grew from 8,700 in the second quarter of 2026 to 12,600 in the third (English, US, UK, Canada and Australia, read on 26 October 2026). That is interest across all industries, not a measure of tours. It tells you competitors in every niche are starting to work on this.

And the booking platforms are wiring themselves in. In October 2026 Bókun published how operators can connect Claude or ChatGPT to their Bókun account to check live availability and hold reservations (Bókun). Assistants are getting closer to the booking step itself.

What an AI recommendation does not do is end the journey. In Mower's survey of 1,000 US travelers who use AI, published in September 2026, most still checked elsewhere after an assistant suggested something:

That is the practical point of this whole article. The assistant puts you on a shortlist, and then the traveler verifies you on Google and on your own site. Both steps reward the same thing: a business that looks identical, credible and bookable everywhere it appears.

How ChatGPT, Claude and Gemini Assemble an Answer About Tours

There is no secret ranking file inside the model. Simplified, an answer about "the best kayak tour in Split" is built from three layers, and you can influence all three.

Honesty requires a caveat here. Nobody outside the model companies can tell you the exact weight of any layer. Google says that indexing and serving are not guaranteed even when a page meets its requirements, and that AI Overviews often do not trigger (Google Search Central). What can be observed is directional: a tour that exists in one place on the internet is a rumor, a tour described identically in six places is a fact.

The Four Pillars of Getting Recommended by ChatGPT and Other Assistants

The discipline has several names (answer engine optimization, generative engine optimization, AI search optimization). For a tour operator the work comes down to four pillars around one tour.

Paid advertising is a separate channel. In its January 2026 advertising principles, OpenAI says ads do not influence ChatGPT answers and remain separately labeled. That does not promise an organic recommendation for an advertiser.

Pillar 1: a clean identity. One business name, one address format, one phone number, everywhere: your website, Google Business Profile, OTA listings, review platforms. Every inconsistency lowers the confidence that the reviews on one platform belong to the website on another. Duplicate and abandoned listings work against you here.

Pillar 2: tour pages written as answers. One tour per page. The headline states what and where. The first paragraph answers price, duration, group size and meeting point. Headings are phrased the way travelers ask. Structured data helps machines read the page correctly, but Google says no special schema is required for its AI features, so treat markup as hygiene: accurate, and matching what the page shows.

Pillar 3: recent reviews, everywhere you sell. Reviews are third-party, dated and hard to fake at scale, which makes them one of the clearest things an assistant can cross-check. The operator with a steady flow of recent reviews across Google, Tripadvisor and OTAs gives a model something to verify. If your review flow is rusty, fix that first (how to get more tour reviews). Ask direct bookers through permitted channels. For OTA guests, use the marketplace's own review flow and follow its contact rules; do not turn an operational message into an unsolicited review request.

Pillar 4: live bookability. Real-time availability and prices exposed through your booking engine. As Bókun's connected assistant shows, assistants are already checking availability on the operator's behalf. A tour that cannot be checked is harder to recommend with confidence.

The Technical Checklist

No wall of code. Hand this to whoever maintains your website.

• Let the AI search crawlers in. Check robots.txt and your firewall for OAI-SearchBot and ChatGPT-User (OpenAI), Claude-SearchBot and Claude-User (Anthropic) and PerplexityBot. These fetch pages to answer travelers. Training crawlers (GPTBot, ClaudeBot, Google-Extended) are a separate decision. Google-Extended does not decide whether you appear in Google Search, AI features included: that runs on the regular Googlebot. Then check your server logs to confirm the crawlers actually visit.
• Structured data that matches the page. On a tour page: Product with an Offer (price, currency, availability), TouristTrip, FAQPage for questions you actually answer on the page, AggregateRating only from real reviews, BreadcrumbList, and an Organization record with sameAs links to your Google Business Profile, Tripadvisor and OTA listings. Test it with Google's Rich Results Test.
• The facts that assistants quote, stated plainly. Duration, price, group size, inclusions, meeting point, cancellation terms. Written the same way on your site and on every listing.
• Dates on everything that can change. Prices, schedules and seasonal notes carry the year. An outdated number quoted by an assistant is worse than none.

How We Research and Write With AI

This article practices what it describes. Drafts are written with AI assistance and then pass three gates before publication: an originality check against our source library (no copied fragments of eight words or more), a source check in which every number must trace to a named report with a date, and a human review. Numbers that cannot be traced are cut, not softened. While writing this article, that rule removed several figures that circulate widely in AI-visibility articles but could not be traced to a primary source.

Where AI Visibility Ends and Operations Begin

Here is the part of the funnel most AI-visibility checklists skip. The assistant recommends you. The traveler checks you on Google and messages you on WhatsApp, or calls, or writes through the OTA. What happens in the next hour decides whether the recommendation becomes a booking. What happens after the tour decides whether it becomes a review, which is Pillar 3 for the next traveler's question.

That loop runs on operations, not on markup: answering quickly across channels with the booking in front of you (see guest communication tools that work with Bókun), and inviting honest reviews through the method allowed by each booking channel.

This is where an operations platform like automate.travel sits: on top of your booking engine, where your team runs guest communication, guides, finances and reviews, so the visibility you earned does not leak at the last step. The map of that territory is in the post-booking operations gap. If you want to see it on demo data, book a demo.

What Nobody Can Measure Yet

Transparency cuts both ways. Three things cannot be measured reliably from the outside today: how much each pillar weighs in an answer, how quickly a rebuilt tour page shows up in assistants, and how often a given operator is named across all the questions travelers ask. Treat anyone quoting precise numbers on those with caution, and judge your own progress on what you can see: Search Console, enquiries that mention an assistant, and the questions guests ask when they write to you.

Frequently Asked Questions