Last updated: August 2026
Somewhere in the middle of planning, the question changes shape. It stops being “what are my options” and turns into something closer to asking a well-informed friend to just decide for you.
“Is Brand A better than Brand B for couples?” “Compare these two tours.” “Best value hotels near Lake Garda?” “Is this operator trustworthy?”
That last shift matters more than it seems. Earlier in the journey, people were gathering. Here, they are outsourcing a judgement call to a machine, and the machine is going to give them one, whether or not you had any say in the outcome.
What is actually happening when AI “decides”
Unlike a search engine, which hands back ten blue links and lets the person sort through them, an AI assistant asked to compare two operators genuinely weighs things up and gives an opinion. It is not neutral. It is combining signals, quietly, in the background, before it ever produces a sentence.
Here is roughly what it is grading you on:
- Review sentiment. Not just star ratings, but the tone and pattern of what people are actually saying.
- Pricing visibility. Whether the cost is genuinely clear, or something you have to dig for.
- Brand mentions. How often, and how consistently, you turn up across the wider web, not just your own site.
- Structured data. Whether your site is actually machine-readable, or just human-readable.
- Third-party citations. Whether anyone independent has vouched for you.
- Recency. Whether your content looks like it was written last month or three years ago.
- Safety information. Whether you have actually addressed the “is this safe” question, rather than assumed it away.
If these signals are strong, you get named, sometimes recommended outright. If they are thin or inconsistent, the AI simply leaves you out of the comparison altogether, which is a much quieter and more total kind of rejection than losing a click. You never even know the conversation happened.
What tends to actually move the needle
Tidy structured data does a surprising amount of work here: FAQ schema, tour or product schema, local business schema, and accurate opening hours, pricing bands and locations all give an AI tool something unambiguous to work with, rather than something it has to guess at.
Keeping information current matters more in travel than in most sectors, because so much of it is genuinely time-sensitive: seasonal availability, local prices, opening hours. Stale content does not just look neglected, it actively erodes trust.
Being specific about who a trip is actually for beats being impressive. “This tour suits confident hikers looking for a two-day route” gives an AI tool something concrete to match against a real question. Vague, aspirational copy, the kind most travel marketing defaults to, gives it nothing to grab onto.
Clarity outperforms cleverness here, consistently. The brands that get recommended are rarely the ones with the best adjectives. They are the ones that made it easiest for a machine to be confident repeating them.
If you would like help getting your structured data, reviews and content ready for this stage, our AI Marketing Agency team can help.
Download the Guide to AI Search for Travel and Tourism for the complete version of everything in this series.
Next: by the time someone’s ready to book, what still manages to go wrong? Read “Making the Booking Easy”
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