Something has been shifting in how people start planning trips. It's not dramatic — most travellers still end up on a booking page, still check Google reviews, still read a few articles. But the first step, the "where do I even start" moment, is increasingly happening inside a conversational AI assistant rather than a search box.
That shift has specific implications for how tour operators present themselves online. This post is about what those implications are, practically speaking.
What AI-assisted discovery actually looks like
When someone opens Gemini or Claude and asks "what are the best multi-day coastal hikes in Queensland with a guide," they're not getting ten blue links. They're getting a synthesised answer — drawn from sources the AI has indexed — that names specific operators, explains what distinguishes each one, and sometimes links directly to a booking option.
The AI's answer is only as good as the sources it can access and trust. It draws on well-structured web content: pages with clear headings, explicit facts (dates, locations, pricing tiers, what's included), and attributes that make a business easy to describe in a few sentences. Vague "experience crafted with love" language gives the AI nothing to work with. Specific facts give it a lot.
Avg. trip research touchpoints (2025 estimate)
7–11
Travellers consult multiple sources before booking an experience, including AI assistants, search engines, OTA reviews, and operator websites. Each source influences the final decision differently.
What the AI is actually looking for
AI assistants prioritise sources that are easy to synthesise and verify. The characteristics that help:
Explicit facts on your own domain. If your website says "6-day guided sea kayaking trip departing Noosa, max 8 guests, camping gear included," that sentence is directly usable. If it says "unforgettable adventures in nature," it contributes nothing.
Consistent NAP data. Name, address, phone number, and location consistent across your website, Google Business Profile, and any directory listings. AI assistants correlate across sources; inconsistencies reduce confidence in any single source.
Structured content with clear headings. Content that uses H2 and H3 headings, answers specific questions, and is scannable by machine as well as by human. FAQ pages score well here — they're explicit questions with explicit answers.
Third-party corroboration. Reviews on Google, mentions in travel publications, links from other authoritative sites. AI assistants treat corroborated information differently from uncorroborated claims.
Schema markup. Structured data (JSON-LD) on your pages — LocalBusiness, Event, Product schema — helps search infrastructure and AI crawlers understand what your business is and what it offers without having to parse paragraphs of prose.
The difference between SEO and AEO
Search engine optimisation (SEO) has been the standard framework for being found online for two decades. What's emerging alongside it is sometimes called answer engine optimisation (AEO) — content structured not just to rank in a list, but to be cited as an answer.
The practical difference: SEO asks "will this page appear in results for X query?" AEO asks "if an AI is asked X, is my content the thing it cites?" The technical requirements overlap (structured content, authoritative sources, good headings), but the emphasis shifts.
AEO-friendly content tends to:
- Answer specific questions directly, in the opening paragraph or the first subheading
- Use concrete facts rather than adjectives
- Be written for the reader who arrives knowing nothing, not the reader who already knows your brand
- Get linked to and cited by other sites, building the trust signal that AI systems use as a proxy for reliability
What this means for tour operators, practically
You don't need to rebuild your website around an AI-first philosophy. The changes that help with AI discovery are largely the same changes that help with conventional search and conversion:
- Write your "what's included" section as a bulleted list, not a paragraph of prose
- Publish a genuine FAQ that addresses real guest questions (not marketing talking points)
- Keep your Google Business Profile current with hours, photos, and responses to reviews
- Get your experiences listed on any authoritative local or regional tourism directory
- Make sure your booking pages have clear, machine-readable pricing information
The one area that's genuinely new: AI assistants surface content in ways that don't always look like a clickthrough. Your business might be mentioned in an AI-generated response without generating a session in your analytics. The guest who then searches for you directly, or who books because they already know who you are, may not trace back to the AI touchpoint. This makes attribution harder and makes brand investment — doing the kind of work that earns mentions — more important relative to strictly measured acquisition channels.
Sojournii and structured content
One of the reasons we think carefully about how tour operator booking pages are structured is this: your booking page is often the most information-dense page about your experience on the web. If it's well-structured — clear pricing, what's included, departure points, capacity limits, cancellation terms — it's a strong candidate for citation by AI assistants and for direct conversion by humans alike.
Sojournii booking pages are built with structured data output, clean heading hierarchies, and explicit fact presentation. That's not accidental. The platform that's best for your guests to book through is also the platform that's most legible to the tools that are increasingly deciding which options guests see first.
The features page covers the specifics of how booking pages are structured. For the broader context on direct booking and operating without OTA dependence, the Alpine Trails Co. case study is worth reading alongside this post.