Hospitality Marketing: key facts and a clear next step

A boutique hotel can have a polished website, fresh Instagram content, strong reviews, and a respectable direct-booking track record — and still be absent from the answer when a traveller asks an AI assistant where to stay.

That is the uncomfortable part of the current hospitality marketing landscape. The property may be visible to people who already know its name, but invisible at the moment when a new guest is forming a shortlist. The hotel appears in neither the recommendation nor the context around it. The assistant simply has no confident reason to include it.

This is not a reason to abandon search, OTAs, email, or social media. It is a reason to look at the whole discovery system more honestly. The channels that carried hotel demand for the past decade are no longer operating alone. A new layer of conversational search is shaping consideration before the traveller reaches a conventional results page or an online travel agency.

So the next marketing move is not necessarily another campaign. It is a fact-finding exercise: where does your property appear, which signals support it, and where does the web fail to describe the hotel consistently? That is how to check key facts and a clear next step in practical hospitality marketing — not as a theoretical exercise, but as a way to decide where the next hour and the next dollar should go.

The Shift in Trip Planning: From General Search to AI Assistants

For most of the digital era, being findable meant appearing on the first page of Google. Hotels invested in keyword research, location pages, technical SEO, paid search, and content designed to answer the questions travellers typed into a search bar.

That assumption no longer holds on its own.

Phocuswright research cited in the current industry discussion shows general search falling from 51% of the leading trip-planning resource in late 2024 to 36% by the second half of 2025. The change is not simply a redistribution toward OTAs and traditional travel sites. A significant part of the planning journey is moving into AI assistants and conversational search.

Travellers are asking ChatGPT, Gemini, and Perplexity questions in the way they would ask a knowledgeable local or a well-informed travel adviser:

• Which boutique hotels in Lisbon have a rooftop terrace and a quiet atmosphere?
• Where should I stay in Tokyo if I want access to restaurants rather than nightlife?
• What are the best hotels near the old town for a three-night cultural trip?
• Which property feels special but still works for a family with young children?

These are not just keyword variations. They combine practical constraints, preferences, tone, and implied judgement. The traveller is not asking for a directory. They are asking for a shortlist.

That distinction matters because an AI assistant can frame the decision before the guest sees a booking platform. A hotel included in the answer is introduced as a plausible fit for the trip. A hotel left out may never enter the traveller’s consideration set, even if it would have been an excellent match.

The discovery layer beneath your marketing has changed. If your audit has not, your strategy is built on sand.

The change is also difficult to see in ordinary analytics. Google Analytics can show visits that arrive through Google, an OTA, a social platform, or a referral site. It cannot show the conversations in which your property was never mentioned. That missing recommendation is not a traffic source you can simply filter into a report; it is a visibility problem that has to be tested directly.

A useful first audit is therefore manual and repetitive. Ask the same types of questions a guest might ask, varying the wording, the neighbourhood, the experience, and the price expectation. Record which hotels appear, which sources are cited, and whether the answers are consistent from one query to the next.

You are not looking for a single definitive ranking. AI answers can vary. You are looking for patterns:

1. Does the property appear for brand-name searches but disappear for non-branded discovery?

2. Is it associated with the right destination, neighbourhood, and type of stay?

3. Does the assistant describe the hotel accurately?

4. Are independent sources cited, or does the answer rely almost entirely on OTAs?

5. Are the hotel’s strongest experiences visible in the language of the answer?

This is where digital content starts to matter beyond the social feed. A rooftop, courtyard, restaurant, spa, design detail, local partnership, or distinctive service ritual gives an AI system more useful material to connect with an intent. A page that only says “comfortable rooms in a convenient location” offers very little to work with, because it describes thousands of properties.

The shift does not mean every hotel needs to publish endless articles about artificial intelligence. It means the hotel needs to become legible as an entity and recognisable as a particular kind of experience. Content should help a traveller — and the systems interpreting that content — understand what makes the property a fit.

The Direct Booking Gap: Why OTAs Outperform Hotel Websites

If your direct channel struggles despite receiving decent traffic, the conversion data usually explains why.

Hotel websites convert roughly 1% to 2% of visitors into direct bookings. Online travel agencies convert around 4% to 6%. The difference is structural rather than mysterious. OTAs have spent years refining the booking path, reducing friction, displaying comparison information, collecting reviews, and building the traveller’s confidence before the click reaches the property page.

The guest also arrives with a different mindset. On an OTA, the visitor is already browsing accommodation options. Dates, rates, room types, policies, ratings, and nearby alternatives are presented in one familiar environment. On a hotel website, the same visitor may still be asking more basic questions: Is this the right location? Is the room really as it looks in the photographs? Is the rate competitive? Can I trust the booking process? What happens if my plans change?

The economics make the gap more consequential. OTA commissions commonly fall between 15% and 30% per booking. Direct bookings avoid that commission and generate about 62% more revenue per room than OTA bookings. The point is not that OTAs are the enemy. They remain important distribution partners, particularly for new properties, unfamiliar destinations, and periods when the hotel needs additional demand.

The point is that a hotel should know exactly what it is buying from that commission — and what it is giving up.

Google Ads is a useful reminder that conversion rate alone does not settle the question. Hotel and resort campaigns in the cited benchmark convert at roughly 3.85%, with a click-through rate around 4.90%. Those are meaningful numbers, but paid search can still become expensive when the cost of each click rises or when the landing page fails to carry the visitor through to booking.

The direct channel is valuable because it compounds. An OTA booking can fill a room tonight, but the platform often retains the behavioural history, the review relationship, and much of the opportunity to remarket to that guest. A direct booking gives the hotel a better chance to understand the guest’s preferences, request consent for future communication, ask for a review, and create a reason to return.

That advantage disappears if the booking engine captures only a confirmation email. The guest may have chosen a room, but the hotel has not necessarily built a relationship. There is no preference information, no useful pre-arrival communication, no post-stay sequence, and no clear invitation to book directly next time.

The direct-booking audit should therefore go further than “What is our conversion rate?” Look at the complete journey:

• How quickly does the booking engine load on a mobile connection?
• Can a guest compare room types without repeatedly returning to the previous page?
• Are cancellation terms visible before payment?
• Does the site communicate a direct-booking benefit without turning the experience into a discount race?
• Are room photographs, descriptions, and occupancy details consistent?
• Is the confirmation email the beginning of a useful relationship or the end of the interaction?
• Can returning guests be recognised and addressed with relevant offers?

A hotel website does not have to imitate an OTA. It does have to remove the reasons a guest feels safer booking somewhere else.

The AI Visibility Crisis: Why 73% of Hotels Are Missing from Conversational Search

Now we get to the figure that should make hotel marketers stop and test their own property.

Approximately 73% of hotels are currently invisible to AI platforms.

“Invisible” does not mean the website is broken or that the hotel has no traditional SEO presence. It means the property is not being recommended or cited in conversational travel searches with enough consistency to enter the answer. From the point of view of a traveller using AI to plan a trip, the property may as well not exist for that particular decision.

This is an important distinction. A hotel can rank for its own brand name and still fail to appear when the search is broader:

• boutique hotels with a rooftop terrace;
• hotels near a particular attraction;
• quiet stays for a weekend in the city centre;
• design-led properties with a good restaurant;
• family-friendly accommodation with adjoining rooms.

Brand visibility and category visibility are not the same thing. The first helps people who already know you. The second helps people who are still deciding what kind of property they want.

AI systems appear to rely on a combination of corroborating signals when constructing these answers. The hotel’s website is one source, but so are review platforms, directories, editorial coverage, local guides, social profiles, booking platforms, structured data, and references from other organisations. If those sources describe the property inconsistently, the system has less confidence. If the hotel is absent from several of them, the system has fewer reasons to include it.

This is why improving AI discovery is not a matter of adding a single phrase to a homepage. It is an alignment problem across the hotel’s digital footprint.

A 2026 algorithm audit of Google Gemini across 156 hotel queries in Tokyo offers a useful illustration of how intent changes the source mix. For experiential queries such as “best ryokan with private onsen” and “romantic hotels in Shibuya,” non-OTA sources accounted for 55.9% of citations. For transactional queries such as “book a hotel near Tokyo Station under $200,” non-OTA sources accounted for 30.8%. The remaining citations went largely to OTAs and aggregators.

The pattern is commercially important. Transactional questions naturally favour systems that hold rates, availability, filters, and booking functionality. Experiential questions create more room for independent guides, editorial sources, local expertise, and hotel-owned content.

If your marketing only describes price, room size, and availability, you are competing on the terrain where OTAs are strongest. If you also explain the experience — who the hotel suits, what the neighbourhood feels like, how a stay unfolds, and what makes the property different — you create material that can support recommendation-led discovery.

AI search is not simply a new SEO channel. It is a new credibility architecture.

The practical work begins with an inventory of the hotel’s entity signals. Check the name, address, phone number, category, location, room descriptions, amenities, opening information, and imagery wherever the property appears. Then compare those details with the website and with the way the hotel describes itself in marketing materials.

Look for contradictions that seem minor to a human but create ambiguity at scale:

• one listing uses a shortened hotel name while another uses a former name;
• the address includes a suite number in one place and omits it in another;
• the property is described as being in one neighbourhood even though local sources use another;
• the website highlights a rooftop restaurant while third-party profiles do not mention it;
• the hotel calls itself a boutique property, but the main directories classify it only as generic accommodation;
• photographs show a redesigned room category that is not reflected in the text.

None of these issues guarantees invisibility. Together, however, they make the property harder to resolve as one reliable entity.

The content itself also needs a sharper point of view. “Luxury accommodation in a prime location” is not wrong; it is simply too broad to be useful. A more distinctive description might explain that the hotel is a quiet base for design-conscious travellers who want to explore a particular neighbourhood on foot, or a family-oriented property with flexible room configurations and an easy route to local attractions. The best wording is not necessarily the most elaborate. It is the wording that makes the fit clear.

That same clarity should carry through the visual content. Video can show the walk from the entrance to the room, the pace of breakfast, the light in the courtyard, the distance between the hotel and the neighbourhood’s main street, and the details that still images often flatten. These are not decorative additions. They give the hotel a more complete and believable presence across the places where travellers research.

High-ROI Tactics: Leveraging Email and Video to Reclaim Revenue

Once the audit shows where the gaps are, the highest-return actions are usually not exotic. They are often the channels the hotel already has but has not connected properly.

Email remains one of the most efficient assets an independent property can build. Hospitality email marketing is often cited at an average ROI of $42 for every $1 spent and can drive roughly 40% of direct hotel bookings when executed well. The exact result will vary by market, list quality, rate strategy, and the quality of the booking experience, but the underlying advantage is stable: the hotel owns the relationship instead of renting access to an audience.

The difference between effective email and a monthly newsletter is the difference between a guest journey and a broadcast.

Three sequences are particularly useful.

Pre-arrival storytelling

The confirmation email should do more than repeat the reservation details. A considered pre-arrival sequence can build anticipation while also helping the guest make decisions that improve the stay.

It might introduce the host or general manager, explain a neighbourhood walk, present the restaurant’s opening hours, suggest a local ritual, and show how to use a feature of the room or property. A five-touch sequence does not need to feel like five sales messages. It should feel like the hotel is helping the guest arrive with a better plan.

The content also creates natural opportunities for useful revenue:

• a room upgrade presented in terms of the experience it changes;
• a restaurant reservation;
• a spa treatment;
• transport from the airport;
• a local activity that fits the reason for the trip.

The strongest version does not push every option at once. It uses the information already available about the booking and keeps the recommendation proportionate.

Cart recovery

Many hotel booking engines lose guests at the point where intent is highest. A visitor selects dates, explores a room, begins the process, and then leaves without completing the reservation. If the hotel has permission to follow up and a suitable data-capture process, cart recovery can bring some of that demand back.

Recovery campaigns can produce conversion rates in the 15% to 30% range in the cited benchmark, although the result depends on the audience, timing, technical setup, and the reason the guest abandoned the booking. A reminder alone is rarely enough. The message should answer the likely objection: uncertainty about cancellation, confusion over room differences, a slow payment experience, or a need to compare dates.

The hotel should also avoid training guests to abandon a booking in expectation of a discount. Clarity, reassurance, and a simple return path are often more sustainable than an automatic price reduction.

Post-stay re-engagement

The most efficient guest to win back is often the one who has already chosen the property. A post-stay programme can begin with a thoughtful thank-you, invite a review at an appropriate moment, and then develop into a six-month cadence tied to season, destination events, and known preferences.

This is where segmentation matters. A guest who booked a city-break package should not receive the same message as someone who stayed for a business trip. A couple who used the restaurant and spa may respond to a different story from a family who spent most of the stay exploring local attractions.

Email works because it is measurable and controllable. The hotel can see who opened but did not book, who clicked on spa content, who browsed a particular destination guide, and who returned to the site after a previous stay. It can then make the next message more relevant.

Video serves a different but connected purpose. Across social platforms, video posts generate between 2.1 and 4.6 times more reach than static hotel images, and 93% of marketers report that video provides a good ROI. The figures should not be treated as a guarantee that every short-form video will perform. They do show why video deserves a place in the core content plan rather than being treated as an occasional experiment.

The common mistake is producing video as a completely separate project from photography. A hotel schedules a stills shoot, then later commissions a standalone brand film, then discovers that neither produced enough short, useful material for the channels where guests actually encounter the property.

A better approach is to build movement into the original visual brief:

• a guest entering the property and moving through the shared spaces;
• the changing light across a terrace or courtyard;
• a room being prepared;
• a staff interaction that communicates the service style;
• breakfast being served;
• the surrounding streets and the walk to a local landmark;
• ambient sound that gives the property a sense of pace.

The same shoot can create social clips, website backgrounds, email assets, room-page footage, paid advertising variations, and material for local partnerships. It can also make the hotel’s visual identity more coherent. Guests should feel that the property is the same place on Instagram, on the website, in an email, and in an AI-generated recommendation.

The important word is not “cinematic.” It is useful. A beautifully produced video that says nothing about the experience may create awareness without improving the booking decision. A simple, well-shot sequence that answers a guest’s real question can do more.

The Technical Next Step: Schema Markup and NAP Consistency for AI Discovery

The strategic audit shows where the hotel is visible. The technical audit shows whether platforms can correctly identify and interpret the property.

This is usually less glamorous than a campaign and less satisfying than publishing a new video. It is also where a great deal of discoverability is won or lost.

Two foundations deserve attention first: NAP consistency and structured data.

NAP consistency

NAP stands for Name, Address, and Phone number. Those details should match across directories, listing platforms, review sites, social profiles, local guides, and the hotel’s own website.

“Close enough” is not a useful standard. Check the exact hotel name, street spelling, postcode, suite or building number, phone format, and any distinction between the property and its restaurant or spa. If the hotel has changed its name, moved its booking engine, or operated under a previous brand, search for older versions and decide which listings need correction.

A NAP audit is practical rather than conceptual. Create a working list of every significant place where the property appears, then record:

• the exact name used;
• the full address;
• the telephone number;
• the website and booking URL;
• the category assigned to the property;
• the description and amenities;
• the latest photographs;
• the date the listing was last checked.

This process often reveals that the hotel has several different versions of the same fact in circulation. Correcting them will not instantly transform every AI answer, but it removes avoidable uncertainty from the entity graph that search and recommendation systems use.

Schema markup

Structured data gives crawlers a machine-readable explanation of the business. For a hotel, relevant types can include Hotel, Review, Offer, and, where appropriate, FAQPage. The implementation should reflect the visible content on the page rather than creating claims that a visitor cannot verify.

Schema is most useful when it is connected to the actual architecture of the site:

• the main property page should clearly identify the hotel;
• room pages should describe the room types accurately;
• offer pages should include the details a guest can see and understand;
• location pages should explain the relationship to nearby places;
• review information should follow applicable platform and search guidelines;
• FAQ content should answer real guest questions rather than exist only to target queries.

The markup is not a substitute for good content. It is a translation layer that helps systems interpret content that is already present.

The final two rows connect the technical work to the content strategy. Experiential queries often draw on independent and editorial sources. If the hotel has no useful mentions outside booking platforms, it is giving recommendation systems a thinner picture of what the property is.

That does not mean pursuing publicity for its own sake. It means identifying the places where a credible third party would naturally describe the hotel: local destination guides, design publications, food and travel writers, neighbourhood organisations, wedding or event resources, and specialist travel communities.

A hotel can support that process with genuinely useful material. Offer a clear story about the property, provide accurate photography, explain the local context, and make it easy for a writer or partner to understand what is distinctive. A vague pitch about being “the perfect luxury escape” is less useful than a precise explanation of the hotel’s relationship with its neighbourhood, design, food programme, or service philosophy.

Build the audit into ordinary marketing work

The technical next step should not become a one-time project that disappears into a spreadsheet. Add the checks to existing workflows.

When a new room type launches, update the room page, structured data, booking engine, directory profiles, and visual library together. When the hotel changes its phone number or opening hours, update every important listing rather than relying on the website alone. When a campaign introduces a new experience, make sure the experience is described consistently in email, video captions, landing pages, and partner materials.

This is also where measurement needs to become more realistic. Traditional metrics still matter: direct-booking conversion, cost per acquisition, email revenue, repeat bookings, and assisted conversions. But AI visibility needs its own observation method. Run a recurring set of conversational queries, log appearances and citations, and compare the results over time.

Do not expect a clean dashboard immediately. The value of the exercise is in noticing whether the hotel is being described accurately, whether it appears for the experiences it actually offers, and whether independent sources are contributing to the answer.

A Clear Next Step for Hospitality Marketing

The temptation after reading about AI discovery is to commission a new content package immediately. The better first move is narrower.

Choose a small set of guest intents that matter commercially. They might be the property’s strongest experiences, its most profitable room types, or the occasions it serves particularly well. Test those intents across AI assistants and conventional search. Then compare what the guest sees with what the hotel believes it communicates.

From there, work in an order that protects the fundamentals:

1. Confirm the facts. Check the property name, address, phone number, location, room information, amenities, and policies across the site and major third-party profiles.

2. Test discovery without the brand name. Search for the experiences and situations in which the hotel wants to be considered, not only for its own name.

3. Repair the direct path. Identify the points at which a guest hesitates, abandons, or leaves the hotel website for an OTA.

4. Create content with a job to do. Use email to develop the guest relationship and video to make the experience visible, rather than publishing content simply to maintain activity.

5. Add technical clarity. Implement appropriate schema, connect it to visible page content, and keep the information consistent as the property changes.

6. Repeat the audit. AI answers, listings, reviews, and the hotel itself will change. Visibility is maintained through attention, not a single optimisation sprint.

The central question is not whether AI will replace hotel websites or OTAs. It is whether your property is giving every discovery system enough accurate, distinctive, and corroborated information to recommend it when the guest is still deciding.

A hotel cannot control every answer an assistant generates. It can control whether its facts agree, whether its experience is clearly expressed, whether guests have reasons to book direct, and whether the visual and editorial footprint reflects the property that actually exists.

That is the work in front of hospitality marketers now: less chasing every new platform, more making the hotel impossible to misunderstand.