An AI assistant on your hotel website can help guests and staff, but only when it's part of a clear strategy. Discover the benefits, risks, and cases where it truly pays off.

When to Use (and When Not to) an AI Assistant on Your Hotel Website

Article by Alex Alessandrini, with a contribution from Francesco Rinaldi — CEO of Plutonios. Originally published on alexalessandrini.it.

Artificial intelligence has entered the hospitality world with the delicacy of a guest arriving at 11:47 PM asking if they can grab "a quick bite".

Impossible to ignore, hard to handle badly without creating problems, and very interesting when placed at exactly the right point in the workflow.

In recent months, there has been growing talk of AI assistants for hotels: tools embedded in a website, capable of answering user questions, guiding them through rooms, services, offers, availability, and property information — and in some cases, walking them all the way to a booking request.

The question, however, should not be: "Should I put an AI assistant on my hotel website?"

The right question is different: at which point in the guest journey can this tool genuinely improve the experience and help the property work better?

Because, as is often the case in tourism marketing, the problem is never the tool itself. The problem is whether it fits into a sensible strategy.

An AI Assistant Is Not a Technological Decoration

Let's start with a simple point: an AI assistant on your website is not there to make the hotel look more modern.

Or rather, it might create that impression, but if it stays purely cosmetic, we're in the territory of "look how innovative we are" — which usually doesn't last long and produces even less.

An AI assistant makes sense when it solves concrete problems:

reduces the workload of front office staff;
answers frequently asked questions quickly;
helps users find information without having to dig through ten different pages;
improves the quality of that first point of contact;
reduces site abandonment during moments of indecision;
makes accessible a wealth of information that often already exists, but is scattered poorly.

And this is exactly where the real thinking begins.

Many hotel websites already contain everything: rooms, services, offers, restaurant, spa, parking, beach access, pet policies, family amenities, check-in times, cancellation conditions, local territory, experiences, FAQs. The problem is that users don't always find what they're looking for.

And when they don't find what they're looking for, in the best case they call or send an email. In the worst case, they leave. And no, they don't always come back.

When an AI Assistant Can Be Useful

An AI assistant can be extremely useful when the hotel website receives a good volume of traffic and users need to navigate a lot of information.

Think of properties with many services, family hotels, resorts, hotels with spas, holiday villages, multi-formula properties, residences, hotel groups, or hotels that serve different guest segments throughout the year.

In these cases, the assistant can become a kind of always-available digital front desk, capable of giving instant answers to practical, recurring questions.

Do you have parking? Do you accept pets? Is beach access included? Are there connecting rooms? Is the spa included? What time is check-in? Are there family offers? How far is the town centre? What does half-board include?

These are normal, frequent, often decisive questions. And if someone gets an answer immediately — without waiting for an email the next day or having to call while they're at work — the path to booking becomes simpler. Not automatic. Simpler. Which is already a lot.

The Real Advantage: Not Replacing People, but Freeing Them

The biggest mistake is thinking of AI as something that replaces human work.

In hospitality, especially independent hotelkeeping, this approach can be dangerous. Hospitality is not a process to be sterilized. It is built on relationship, listening, sensitivity, tone of voice, and the ability to interpret what a guest isn't saying explicitly.

But there's an obvious reality: many properties receive dozens of repetitive questions every day. Some come by email, others by phone, others via WhatsApp, social media, contact forms, booking engines, and OTAs.

If the AI assistant can handle a portion of these simple requests, staff can focus better on higher-value interactions: complex quotes, special requests, undecided guests, delicate situations, and meaningful commercial relationships.

The point isn't to remove humanity. The point is to prevent people from spending too much time answering "is the pool heated?" for the hundredth time, while a warm lead is waiting for a well-crafted quote.

When to Think Twice

There are cases where adding an AI assistant to your website might not be the right priority.

The first case is when the website is already weak at its foundation. If the pages are confusing, the information is not up to date, the offers are poorly written, the photos no longer represent the property, and the path to a booking request is complicated — the AI assistant won't solve the problem. In fact, it risks highlighting it.

Because if the tool draws from incorrect, incomplete, or disorganised content, it will give incorrect, incomplete, or disorganised answers. And often with a very confident tone. Which is the most insidious part.

Before thinking about an AI assistant, you should ask yourself:

Does my website accurately describe who we are today?
Is the information up to date?
Are the offers clearly written?
Are the booking engine and contact form easy to reach?
Do guests' frequently asked questions already have an answer somewhere on the site?
Does staff know what information is being communicated online?

If the answer is no, perhaps the first investment is not the assistant. It's getting things in order. I know, it's less exciting. But it often delivers more.

The Biggest Risk: Creating the Wrong Expectations

In tourism, expectations are everything.

If a guest understands one thing, imagines another, and then arrives to find a third reality, you have a problem. And it won't be the AI that gets the negative review — it will be the hotel.

This is why an AI assistant must be configured with great care. It needs to know the property's tone of voice, but also its limits. It must know what it can say and what it should not promise. It needs to be helpful, but not intrusive. It should guide, but not pressure. It should simplify, but not invent.

Above all, it must be connected to a reliable and accurate information system.

There's a big difference between answering: "Yes, we accept small dogs, provided you notify us at the time of booking" — and answering generically: "Pets are welcome", only for the guest to discover on arrival that there are weight limits, surcharges, restricted areas, or limited availability.

In the first case, the assistant helps. In the second, it sets the stage for a tense conversation at the front desk.

The Question of Trust

There's also a subtler dimension: the relationship of trust.

Many users are now accustomed to interacting with automated tools, but not all of them appreciate it equally. This is why an AI assistant should never become the only way to get in touch with the hotel. It must be an additional option, not a barrier.

Phone number, email, WhatsApp, contact form, and booking engine must remain clearly visible. The assistant can guide, orient, suggest, and clarify. But it should not become a digital bouncer standing between the user and the property.

Because in hospitality, direct relationships remain a core value. Especially for independent hotels.

Where It Can Make a Real Difference

In my view, an AI assistant on a hotel website can make the biggest difference at three specific moments.

The first is the discovery phase, when the user is trying to determine whether this property suits them. Here, the assistant can help them quickly surface the most relevant information.

The second is the comparison phase, when the user is evaluating similar alternatives. In this case, precise answers about services, advantages, packages, and details can significantly influence perceived value.

The third is the pre-stay phase, if the assistant is also integrated into a broader customer care strategy: pre-arrival information, opening times, bookable services, local experiences, directions.

In all three cases, however, there needs to be clear direction behind it. Installing the tool is not enough. You need to decide what it should do, what it should know, what objectives it supports, and how to measure whether it's working.

What to Measure to Know if It's Working

An AI assistant should not be evaluated "by gut feel". Better to look at concrete data:

how many conversations are initiated;
which questions are asked most frequently;
how many conversations lead to a request or a booking;
what information is missing from the website;
how much staff time is saved;
whether repetitive requests via email or phone decrease;
whether the quality of incoming contacts improves.

The best result is not always "more requests". Sometimes it's receiving better requests — more informed, more complete, closer to booking. And for a hotel, that is worth a great deal.

The Perspective of Someone Who Built an AI Assistant for Hotels

To explore the viewpoint of those who actually develop these solutions, Alex Alessandrini spoke with Francesco Rinaldi, CEO of Plutonios, a company that has built an AI assistant specifically designed for the hospitality sector.

"A well-built AI assistant, tailored to the specific vertical of hospitality, handles hundreds of recurring questions every day: check-in times, pet policies, parking, breakfast, distances, included services, active offers. These are legitimate and important questions for the guest, but when they all arrive at the front desk via email, phone, or WhatsApp, they end up saturating the staff and slowing down the higher-value requests — complex quotes, situations that deserve a thoughtful, carefully constructed response.

The first benefit we observe at our client properties is precisely this: freeing up time. Not replacing people, but allowing them to focus on the conversations that truly make a difference. And in parallel, reducing friction in the booking journey, because a guest who gets an answer in two seconds on your website is a guest who stays on your website instead of going to compare on Booking.com. This translates into faster direct conversions and less traffic lost to OTAs — which for an independent property means recovered margin.

That said, a tool like this only works if the underlying information is correct, up to date, and supervised. This is why we invest heavily in human oversight: each property defines what the assistant can say and what it cannot, which rates it can communicate, and in which cases it should hand the conversation off to staff. An AI left to its own devices, disconnected from operational reality, is a risk. One that is properly integrated, with a person reading the data and updating the content, is a genuine ally.

The goal we're working toward, though, goes beyond the initial conversion. We want to provide context on the guest throughout their entire journey, from the initial quote to check-out — so that technology doesn't replace the human relationship, but reinforces it and opens new revenue opportunities during the stay.

A room upgrade proposed at the right moment before arrival, a spa treatment suggested the evening before, an in-house restaurant dinner recommended when the guest is deciding where to eat: these are ancillary revenues that used to go untapped simply because no one at the front desk had time to propose them to every single guest.

A concrete example: Gianni, at PianoB, was notified by our system that a guest with a strong preference for vegan food was about to arrive. Using the analysis we do across the full user journey, Gianni prepared a custom vegan menu specifically for that guest. The result: an in-house dinner sold, a positive review, and a guest who still wonders how Gianni knew. That's the level of hyper-personalisation that until a few years ago would have been unthinkable for an independent property — and that today is genuinely achievable.

The message for properties, in short, is simple: experiment, try things, but choose tools built specifically for hospitality and teams who actually understand the industry. Technology alone doesn't create hospitality, and it doesn't create revenue either. But when it works in service of the right people, it raises the bar seriously on both fronts."

— Francesco Rinaldi, CEO of Plutonios

So: When Yes and When No?

Yes, when the hotel has a lot of information to manage, good website traffic, many recurring questions, an often-busy staff, and a solid content foundation to draw from.

Yes, when the AI assistant is conceived as a support for the booking journey and not as a gadget to show off.

Yes, when someone is actually monitoring the responses, updating the information, and reading the data generated from conversations.

No (or at least not yet), when the website is old, confusing, or out of date.

No, when there is no clear strategy behind it.

No, when the goal is to avoid human contact rather than improve it.

No, when you think that simply "adding AI" will fix problems with communication, product, pricing, or organisation.

Because AI can help a great deal, but it cannot perform miracles. And above all, it cannot transform a confused property into a clear one. It can only make the confusion faster — which is not exactly the goal we set out with.

The Best Technology Is Always the Kind That Helps People

In the end, the theme is always the same: the guest is the centre.

An AI assistant can be a strong ally if it helps users find answers, simplifies the work of the staff, improves the quality of contact, and makes the path to booking more fluid.

But it must be embedded within a broader vision: an updated website, clear content, a consistent tone, data to read, people involved, and well-defined processes.

Organisation first, then technology. The right questions first, then the automated answers. Hospitality first, then the assistant.

Because a hotel doesn't just sell rooms, services, and offers. It sells trust, expectations, and relationship. And if artificial intelligence can support all of that, then absolutely — bring it in.

But if it's going to become yet another tool switched on because "everyone's doing it", maybe it's worth pausing for a moment, taking a breath, and returning to the most important question:

What does my guest truly need to choose my hotel with confidence?

Want to discover how Hotea, Plutonios's AI assistant, can support your property in a concrete, team-integrated way?