Hotel marketers once fought for a place on Google, Booking.com and a traveller’s social feed. Now there is another front door to the guest, and it may not show a normal results page at all.

Travellers are increasingly asking AI tools a complete question. They might type: “Where should I stay in Singapore for three nights with my family, close to public transport, with a gym, for less than US$250 a night?”

Seconds later, the chatbot can return a short list of hotels with reasons for each choice. No scrolling. No long comparison page. No guarantee that every suitable property gets a look-in.

For hotels, that changes the game. The digital shelf has become smaller, and getting onto it may soon matter as much as a strong Google ranking.

Phocuswright’s 2026 research calls the rise of AI in travel the fastest behavioural shift it has seen in a decade. Its latest US leisure-travel study says 56 per cent of travellers now use AI for travel. It also says generative AI is becoming an important starting point for discovery, although many travellers still turn to other sources before booking.

Asia-Pacific is moving quickly too. Booking.com’s Global AI Sentiment Report found 95 per cent of APAC respondents were excited about AI and its possibilities. Importantly, reporting on the regional results found 93 per cent planned to use AI in future trip planning. That enthusiasm comes with a warning: trust still trails usage, so accuracy and transparency remain vital.

That is the opening being chased by Australian hotel-tech company Visaible, founded by Sam Rich.

Visaible has raised about A$1 million in venture funding to expand its platform for hotel AI visibility and automation. Its pitch is simple: help hotels see whether AI systems recommend them, improve how those systems describe them, and turn more of that exposure into direct bookings.

AI visibility becomes a distribution issue

This is not just another shiny marketing channel.

Online travel agents built powerful businesses by solving a real problem. They brought thousands of hotels together and made them easy to search, compare, and book. Hotels paid commission because the reach was valuable.

That model remains strong. OTAs are not about to disappear because a chatbot has learned to recommend a decent rooftop bar.

But the cost of that reach is well known. Industry reporting has commonly placed hotel OTA commissions at about 15 to 20 per cent, with rates varying by platform, property, market and promotional deal. Visaible itself illustrates the traditional OTA model as carrying commissions of roughly 15 to 25 per cent.

If an AI assistant recommends a hotel and the guest then books direct, more of the room revenue can stay with the property.

The booking is not truly “free”; hotels still pay for staff, technology, content and distribution, but the margin case is easy to understand.

And margin, unlike fashionable jargon, still keeps the lights on.

The bigger danger is silence.

A hotel left out of an AI shortlist may never know it was missed. There may be no ranking report showing it slipped from page one to page two. There may simply be no mention.

Even when a hotel appears, the wording matters.

A chatbot may praise the location but miss a new room category. It may quote an old gym time, confuse family facilities or describe a competitor with considerably more enthusiasm.

Being recommended is one contest. Being recommended accurately and persuasively is another.

That means AI visibility is starting to look less like a side project and more like a new part of distribution management.

Making the invisible measurable

Visaible says its platform tracks how hotels appear across major AI environments, including ChatGPT, Perplexity, Gemini, Claude and Meta AI.

The company says it then identifies changes that could improve visibility, accuracy and booking potential. It can also help carry out those changes through a hotel’s existing digital stack. That can include website content, structured data, FAQs and third-party information.

The key selling point is execution.

Hotel marketing teams are not short of dashboards. Many could probably wallpaper the loading dock with them.

Visaible is pitching a system that does more than point at a problem. Its AI agents are designed to act on approved changes, measure what happens next and keep working across the channel.

Visaible’s website currently lists hotel plans at US$300 and US$500 per property per month, depending on coverage and features. It also publishes case studies reporting lifts in AI visibility for participating hotels.

Those results are company-reported and should not be treated as independent industry benchmarks.

The same caution applies to the revenue figures.

Visaible estimates that a typical 150-room hotel could be missing about US$22,000 per month in direct-booking revenue through the AI channel today. It expects the figure to exceed US$30,000 by 2027 as AI-led discovery grows.

Those are Visaible’s own projections, not audited market-wide numbers. Actual results will vary by rate, occupancy, brand strength, destination and booking mix.

Even so, the commercial idea is clear. A small number of additional direct bookings can quickly change the return on investment for a hotel technology subscription.

The funding bet

Visaible’s roughly A$1 million venture round will be used to build more end-to-end agentic automation for hotels.

The timing is significant.

Major travel companies and investors are already watching AI reshape the path from inspiration to search, comparison and booking. The Financial Times reported that large online travel companies were preparing AI agents capable of arranging travel and potentially changing the role of traditional intermediaries.

Visaible is betting that hotels will want their own seat at that table.

“Hoteliers understand that the AI channel presents a unique direct booking opportunity, and are looking for a cost-effective solution that can run on autopilot to capture bookings in this channel, while they focus on the hundreds of other tasks they need to resolve.” Sam Rich, Founder, Visaible

The quote goes to the heart of the hotel problem.

Most general managers do not need another speech about the future of artificial intelligence.

They need answers to three considerably plainer questions.

Are we being recommended? Are we being described correctly? And is any of it producing profitable bookings?

The new front desk may be an answer box

None of this means the end of Google, OTAs, travel advisers or hotel websites.

Travel distribution rarely kills an old channel cleanly. It usually adds a new one, leaving everyone with another login.

What is changing is the moment when the traveller’s shortlist is formed.

If an AI assistant is the first place a guest asks about where to stay, the answer can shape the entire booking journey. A hotel that does not appear may lose the guest before rate comparison even begins.

That makes the next phase of hotel marketing less about chasing every algorithm and more about getting the basics right.

Hotels need accurate information.

They need clear structured data.

They need strong content backed by trusted sources.

They need to know how AI systems describe them.

And when a traveller is ready to book, the direct path needs to be simple.

There is another reason hoteliers should resist treating AI optimisation as an exercise in gaming machines. Booking.com’s research found considerable enthusiasm for AI but far less willingness to hand it complete control. Globally, only a small minority of consumers said they fully trusted AI, reinforcing the value of reliable information and human oversight.

That matters for GEO Generative Engine Optimisation because the long game is not stuffing pages with phrases designed to please a chatbot. It is building a clear, consistent and credible digital footprint that gives AI systems reliable information to work with.

The same principles that once built a reputable hotel brand will not suddenly become obsolete because the concierge is made of code.

Authority counts. Accuracy counts. Reputation counts. So does having useful information that answers the question a traveller actually asked.

The old hospitality virtues still apply: tell the truth, keep the house in order and make it easy for the guest to say yes.

Only now, the first guest through the door may be an algorithm.

By: Christine Nguyen – © 2026.

Read Time: 5 minutes.

 

Author Bio:

Christine’s story is one of quiet courage, told without fuss and lived with remarkable grace. She arrived in Australia as a young refugee from Vietnam, carrying little more than hope, family, and a curiosity that refused to be extinguished. Sydney became home, built patiently, brick by careful brick.

She studied Tourism at TAFE and soon found her place in inbound travel, working with one of the city’s leading destination companies. Christine loved showing visitors the Australia that lives beyond postcards, warmer, truer, and far more interesting.

When the sea began to whisper, and life asked for a gentler rhythm, she listened. Designing brochures, writing blogs, she discovered storytelling waiting quietly inside her.

Today, at Global Travel Media, Christine writes with warmth and wisdom, reminding us, softly and persuasively, why travel still matters.

 

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