For years, New Zealand tourism businesses worried about where they appeared on Google. Now the Government is spending $800,000 making sure that when somebody asks an AI where to go on holiday, we turn up in the answer.
Somewhere overseas, someone planning a New Zealand holiday is no longer opening 14 browser tabs and searching “best things to do South Island”. They are asking an AI to build the whole trip instead, complete with somewhere nice to stay in Queenstown, a winery that is not too touristy and a walk that will not ruin the following day.
The New Zealand Government has noticed. In July it announced $800,000 from the International Visitor Conservation and Tourism Levy would go towards making information about New Zealand tourism businesses and destinations easier for artificial-intelligence tools to access, understand and recommend. Tourism New Zealand’s own AI travel assistant will also be expanded with more information from regional tourism organisations.
It sounds like an extremely 2026 use of government money until you think about how much of the tourism industry has already been built around the previous version of exactly the same problem. Hotels spent years learning SEO, tourism operators rebuilt their websites for Google and entire businesses appeared to help a kayak company in Abel Tasman rank slightly higher than the kayak company down the road.
For most of that era, being discoverable still meant getting someone onto your website. A traveller searched, Google produced a page of results and the human did the slightly annoying work of opening them, comparing them and eventually deciding whether the five-star review describing the owner as “very accommodating” could be trusted.
AI removes a lot of that wandering around. Instead of asking for restaurants in Wellington, a traveller can ask for somewhere relaxed near their hotel, with vegetarian food, a table for four, a good wine list and nothing that feels like it was designed specifically for tourists. The machine does the filtering before the restaurant even knows it was considered.
That makes the Government’s $800,000 investment much more interesting than the bureaucratic wording around it. MBIE says Tourism New Zealand will improve the way tourism information is structured and presented so AI search tools can use it more reliably, with the aim of getting visitors into more regions and encouraging them to stay longer.
For a small operator, that could be genuinely useful. Someone planning an Auckland-to-Wellington road trip may never think to search specifically for a tiny gallery in Whanganui or a food tour in Hawke’s Bay, but an AI itinerary can introduce both without the traveller knowing they were options in the first place.
That is a subtle but fairly enormous change in how places get discovered. The tourism business that once wanted to be first on Google now wants to be the place an AI feels confident enough to put directly into somebody’s holiday.
It also means an uncomfortable amount of power sits with systems that businesses do not control. A beautiful lodge can have perfect reviews and still disappear from an AI recommendation if its information is incomplete, badly structured or simply not being interpreted properly, which sounds annoyingly familiar to anyone who spent the last 15 years trying to understand why Google suddenly moved them down three positions.
There is no reason to panic about that yet. People still use Google, travel agents still exist and plenty of us will continue choosing restaurants because somebody we know said, “Trust me, go there.” What is changing is the layer in between, and New Zealand is making an early bet that being understandable to the machines will become almost as important as being appealing to the humans.
It is funny to think about where tourism marketing has ended up. We began with glossy posters of Milford Sound, moved through 100% Pure New Zealand, websites, Facebook pages, Instagram reels and influencers standing in front of Lake Tekapo, and have now arrived at the stage where somebody needs to make sure a computer knows exactly what time the glowworm tour leaves.
The scenery has not changed much. The thing deciding whether you see it has.
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