Scroll your profile the way someone would who has never heard of your place and is deciding whether to book. One question: what kind of guest do these posts actually attract? Compare that to who you want as guests.

Most places worry about what the internet says about them. The bigger problem is what their own social media is saying, and nobody is checking.

How it happens

You hosted a birthday dinner last spring. Great night, good energy, beautiful photos. You posted them. No caption explaining it was a private event.

Your property bio still says “a peaceful place to disconnect.”

Someone planning a quiet anniversary trip sees the party photos and either books somewhere else, or books with you and arrives expecting a party. They check in. You or your front desk spends the first twenty minutes walking back what your posts promised. That shows up in the review.

I have been doing this since 2007. The party post with no context. That one is mine.

Here is another one. The renovation progress photo you posted because you were proud of it. No context, no dates. A guest booked two weeks later thinking it was finished. It’s not. Or the photo from the local market you sponsored. It looked community-minded. Your bio says serene and private. Now you have a family of six asking about the weekly schedule of events.

You know your property. The guest does not. They are reading your feed like a brochure, taking everything at face value, and drawing conclusions you never intended.

What this costs you

The guest who arrives with the wrong expectation is not just a hard check-in.

They leave a review that describes their version of the experience. That review becomes the script the next guest arrives with, before they ever find your website. They show up already certain about what to expect, based on someone else’s bad stay.

Season after season, the wrong guest trains the next wrong guest. You deal with it every time. Or your front desk does. Either way, it is the same conversation, over and over.

This is not a content problem. It is a trust problem that started the moment you posted without thinking about who was watching.

This week, do this

Spend 15 minutes scrolling your own profile as a stranger. Go to your account. Scroll slowly. Pretend you have never heard of this place and you are deciding whether it is right for your trip.

Look at every post and ask whether it attracts the guest you actually want.

When you sit down to write the confirmation message, add one line that tells them something your social media feed did not. That is it. One line before they arrive is worth more than three conversations at check-in.

Properties that do not post often have the same problem, just concentrated. Ten posts a year means each one carries more weight, not less.

FAQs

A few things you might be thinking

Should I delete the posts that do not fit? Probably not. Post something that adds context to what people already saw. Deleting a post does not undo the impression it made on people who already saw it. Let the feed tell a fuller story rather than hiding the one already out there.

What do you do when your property has multiple vibes, restful during the week and lively on weekends? Say it out loud in your bio. “Weekdays are for people who want to switch off. Weekends we host events. Check our calendar before you book.” A feed that silently shows both without explanation misleads everyone.

What do you do when the confusion is coming from guest tags, content you did not create? You cannot control what guests post, but you control what you amplify. Every time you reshare a tagged post, you endorse that version of your property. Be selective. You can like a photo without sharing it.

Copy-paste AI prompt help

Paste this into whatever AI tool you already use. Add your property description and your last 10 social media posts. For each post, write one line describing what the photo or video shows, then paste the caption.

You are a hospitality consultant who has seen small properties lose bookings because their social media trained the wrong guest to show up.

I will give you two things:

1. A one or two-sentence description of my property and the guest I am trying to attract.

2. My last 10 social media posts. For each one I will write one line describing what the photo or video shows, then paste the caption.

Do three things:

First, describe the guest who would feel most confirmed by this feed. The person who sees these posts and thinks “yes, this place is for me.”

Second, tell me whether that guest matches the property I described. Do not soften this. Name the disconnect.

Third, list any posts that are sending the wrong signal. For each one, write one sentence on what expectation it sets and one sentence on what to post instead.

Output: two short paragraphs for the first two, then a numbered list for the third.

Every mismatched guest leaves a review. That review trains the next one. You wrote the first draft of that problem yourself, which means you can also rewrite it.

This is not just a property-level problem.

It is happening across entire destinations too.

Your visitors arrive pre-trained. Someone else did the training and you had no say in it. They do not show up unsure. They show up certain, and often wrong

Read more

Most of the time, it’s not a price problem.
It happens at the exact moment they were about to trust you.

This week is about fixing that moment, even if your bookings are non‑refundable and your tools are basic.

The second guests decide your site is “the risky option”

A guest:

• Finds you on an OTA

• Clicks through to your website

• Looks at photos and rates, maybe even starts a booking

• Disappears and books on the OTA instead

That’s commission you didn’t have to pay for a guest you already convinced.

It comes down to a pause right before they hit “Pay,” when they think:

“Okay, but what happens if my plans change?”
“And who is actually going to help me if they do?”

On the OTA, the answers are big and loud:

• Clear “non‑refundable” or “flexible” labels

• “Secure payment” badges

• “We’re here 24/7” beside the price

On many small sites, those answers are buried in fine print or not shown at all.

Guests trust OTAs to fix problems.
They’re not sure you will, because you haven’t shown them how.

Why do guests leave a hotel or rental website and book through an OTA instead?

• Because the OTA clearly shows what happens if something goes wrong.

• Most independent sites hide that information or make it hard to find.

• When guests don’t see clear answers, they choose the option that feels safer.

You can’t copy their call centre.
You don’t need to. Guests aren’t looking for a big team. They just want to know a real person will answer.

This week, do this: paste a 3‑line safety block above “Book now”

Goal: finish this in under 5 minutes. If it takes longer, you’re overthinking it.

Step 1 – pick one spot you can actually edit:

• A room page on your site, or

• The short text area right above your booking button, or

• A “Why book direct” block beside your own booking link

Step 2 – if you don’t want to think, use this exactly as it is right above “Book now”:

• Most bookings are non‑refundable once confirmed

• If plans change, tell us early – we’ll do what we can to help

• Direct contact with us – real replies, usually within a few hours

No design. No boxes. No images. Just text.

If you have different seasons and rate types, don’t let that stop you.
Write this for your most common booking, and keep it simple. If you need to, add:

“Some special offers have stricter rules – full details are shown before you pay.”

You have not promised refunds.
You have promised clarity and a human.

If‑then trigger:

If a guest can click “Book,” they should see these 3 lines without scrolling. If they can’t, move the block until they do.

If you haven’t pasted this yet, do it now before you read on.

What makes a direct booking feel safe to a guest?

Three things:

• Clear rules about changes or cancellations

• Clear timing for when payment is taken

• A clear way to contact a real person if something goes wrong

Fix the one email every guest reads (highest‑ROI move)

If you only do one thing from this newsletter, do this.

Open your confirmation email. The first screen on a phone should say:

“Your stay with us on [dates] is confirmed. We’re expecting you.

Most bookings are non‑refundable once confirmed. If your plans change, tell us as early as you can. We can’t promise a refund, but we’ll do what we can to help with new dates or options.

If anything comes up, reply to this email or message us at [channel]. A real person on site replies, usually within a few hours.”

If guests often ask about payment timing, swap in this line:

“Payment is taken at [booking / before arrival], you’ll see this clearly before you pay.”

Clear rules don’t just help guests feel safer.
They protect your time, your team, and your sanity when something goes wrong.

Ten‑minute upgrade: borrow the words, not the badges, from your OTA page

If you have 10 more minutes, do this next.

Look at your OTA page for one reason: it shows safety clearly where guests decide.

1. Open your main OTA listing in one tab and your own site in another.

2. On the OTA, note the words near the price that calm people down:

   • “Non‑refundable” / “Free cancellation”

   • “Secure payment”

   • Any short line about help if things go wrong

3. Ask: “Which of these do I also offer, but never say on my own site?”

Don’t worry about badges, icons, or layout.
Just focus on clear words next to the price.

Add one or two simple lines under your 3‑line block, for example:

• “Secure card payment processed by [provider].”

• “We’ve hosted [X] stays since [year].”

• A short review line: “Guests say: ‘Exactly as described, no surprises.’”

You’re showing you’re not a gamble.

Use AI to tighten your wording

If you don’t want to reword this yourself, use AI:

“You are helping a small short‑term rental, B&B, or hotel make its direct booking feel safe by clearly explaining:
– what happens if plans change
– when payment is taken
– how a guest can contact a real person for help

I will paste:
– the text from my booking page
– my current confirmation email

Step 1: Extract the exact sentences that explain:
– what happens if plans change
– when the card is charged
– how guests can contact us

Step 2: Rewrite the content into:

A 3‑line safety block to place above a ‘Book now’ button
– exactly 3 lines
– each line under 15 words
– clear, plain language
– no promises beyond what is stated

A new opening paragraph for the confirmation email
– fits on the first screen of a phone
– clearly confirms the booking
– clearly explains rules and contact method

Writing rules:
– use simple, direct language
– avoid marketing phrases, filler words, or generic reassurance
– do not sound like a corporate hotel brand
– only include statements the operator can realistically deliver

Output format:
– ‘Safety block:’ followed by the 3 ready‑to‑paste lines
– ‘Confirmation email opening:’ followed by the ready‑to‑paste paragraph

If key details are missing, ask one clarifying question before writing.”

Let it draft, then adjust the wording so it sounds like you and matches your real rules.

What happens if you actually do this

Over the next 2–3 weeks, you should see:

• Fewer confused messages: less “I didn’t know it was non‑refundable” and “Just checking my booking…”

• Fewer refund fights, because guests saw the rules and a human promise in plain language up front.

• More guests who start a booking on your site actually finishing it there, instead of bouncing back to an OTA tab.

That means fewer 15–25% commission hits on bookings you could have kept,
and more control of the guest relationship from the start.

You don’t need a spreadsheet. Just notice for two weeks:

• How often do you hear “I didn’t know…”

• How often does someone who starts on your site ends up booking on an OTA

If both start to drop, this is working.

Guests book where fear is removed fastest.
In practice, that means showing clear rules, clear payment timing, and a clear human contact before they pay.

If this way of thinking about direct bookings resonates, I’m working on a broader initiative with others in the industry focused on making direct booking the default.

Happy to share more if you’re interested.

Open your last 10 pre-arrival guest messages and look for repeated questions about parking, directions, or amenities.

Those questions reveal expectation problems. Places where guests misunderstood the stay before they even packed their bags.

Close those gaps and check-ins move faster, guest questions drop, and reviews get easier.

Do This First (5 Minutes)

Open your last 10 guest messages sent before arrival.

Highlight any question that appears twice.

When the same question shows up twice, it’s not random.

It’s a signal your listing or pre-arrival message didn’t shape expectations clearly enough.

You’ll probably notice the same two or three questions showing up again and again.

Fix that once and you often remove the same confusion for dozens of future guests.

Small trick that helps hosts actually do this:
Next time you open your guest inbox, scroll back through the last ten messages before replying to anything new.

You’ll start spotting patterns immediately.

A Small Example

One mountain lodge added a short section in their confirmation email called “Before You Drive Up.”

It explained two things:

• the final road to the lodge is gravel
• cell service disappears about ten minutes before arrival

Guest messages about directions dropped.

The property didn’t change.

Only the expectations changed.

A Simple Reality Most Hosts Miss

Most guest problems are not caused by bad guests.

They happen when guests arrive with the wrong picture of the property and the place they’re entering.

After decades in hospitality, you start seeing this pattern again and again.

You recognize the moment.

• Where do we park?

• Is there air conditioning?

• Why is the road dirt?

• Can we bring two extra friends?

Sometimes the information exists in the listing. But guests missed it. So they still show up surprised.

When that expectation is wrong, the problems start immediately:

• more guest questions

• slower check-ins

• rule violations

• staff frustration

• reviews that say “we didn’t realize…”

Three Reasons Guests Show Up Confused

After years of watching guest messages pile up, the confusion usually falls into a few patterns.

1. The guest who didn’t read

This happens.

(Okay… realistically, it’s closer to every third guest.)

2. The guest who read but pictured something different

Example:

A listing says “cozy studio.” The guest arrives expecting a one-bedroom apartment. The listing may be accurate.

But the picture in the guest’s head was completely different.

3. The guest who built expectations somewhere else

Travel blogs, Instagram posts, and past trips shape expectations long before someone books.

Examples hosts and hoteliers see all the time:

• expecting beach access that doesn’t exist

• assuming there’s a grocery store nearby

• expecting hotel service in a private rental

The listing never corrected the assumption. So the guest arrives expecting something else.

Guests Don’t Just Arrive at a Property

They Arrive in a Place

Guests don’t just arrive at a property.

They arrive in a place, a destination, city, town, or village.

The road.
The neighborhood.
The landscape.
The pace of life.

Visitors have no idea about most of this stuff.

Examples operators see constantly:

• rural properties where the nearest grocery store is 25–30 minutes away

• historic buildings with steep stairs and no elevator

• beach towns where parking is tight

• mountain areas with gravel roads and limited cell service

None of this surprises locals. For visitors, it absolutely does. When the place isn’t explained clearly, guests start guessing. And they’re usually wrong.

That’s where most check-in problems begin.

Most guest problems are not caused by bad guests.

They happen when guests arrive with the wrong picture of the property and the place they’re entering.

Three Small Rewrite Examples

One sentence can fix the whole problem.

Example 1

Before: Parking available behind the building.

After: Parking is behind the building. Street parking is reserved for residents and may result in a ticket.

Example 2

Before: Check-in after 4 PM.

After: Check-in begins at 4 PM because housekeeping needs time to prepare the property. Guests arriving earlier may find the unit still being cleaned.

Example 3

Before: Quiet neighborhood.

After: This is a quiet residential neighborhood. Guests should expect normal neighborhood noise limits after 10 PM.

The second versions explain the context, not just the rule.

Guests follow rules more easily when they understand why.

Otherwise, it just feels like someone made up the rule.

Two Fixes Most Properties Can Make

After running the confusion audit, these two adjustments solve a surprising number of problems.

Add a “First-Time Guests Should Know” section

Place it in your confirmation email or pre-arrival message.

Explain the three things that surprise guests most.

Examples:

• wildlife around the property

• gravel driveways

• shared parking

• rural location details

This helps guests picture what arrival will actually be like.

Replace one FAQ with a short explanation about the property or the place.

Many FAQs list rules. They rarely explain the situation behind the rule.

A little context prevents a lot of confusion.

Operator Field Notes

If guests repeatedly ask about something before arrival, expectations were never shaped clearly.

When reviewing messages, look for patterns like:

• parking confusion

• location misunderstandings

• amenity assumptions

• rules that surprise guests

• details about the surrounding area locals take for granted

When the same question appears twice, update the message guests see before arrival.

That one small change often prevents dozens of future questions.

If you manage a team, ask your front desk or guest communication staff which questions they answer most often.

They usually know exactly where the confusion starts.

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Optional: Use AI to Spot Expectation Issues

If you already use ChatGPT or another AI, this can speed up the audit. If not, the manual audit above works perfectly fine. You can try these AI instructions, just copy and paste:

Analyze these guest messages sent before arrival.

Identify the questions guests repeat most often.

For each question, suggest how the listing description or pre-arrival message could clarify expectations earlier so guests understand the property and surrounding place before traveling.

Focus on preventing confusion rather than answering questions faster.

Look for patterns, not perfect wording.

Run the 5-Minute Confusion Audit This Week

Open your last 10 pre-arrival guest messages and look for repeated questions. If the same question appears twice, you’ve found a pattern.

Fix that message once and you prevent the same issue for dozens of future guests.

Confused arrivals cost real time and energy:

• extra guest messages

• longer check-ins

• repeated explanations

• staff fatigue

• preventable reviews

When guests arrive with the right picture of the stay, operations run more smoothly.

For your guest.
For your team.
For your property.

Quick question for you.

What’s the one guest question that keeps showing up before arrival at your place?

If one comes to mind, hit reply or leave it in the comments.
I read every one.

Leave a comment

If You Missed It

The other day we explored the idea that tourists are not always the problem.

Often visitors arrive without context about the place they’re entering.

We also looked at something experienced hosts do instinctively: shaping expectations before the booking even happens.

Because by the time the guest arrives, the expectations are already set.

Pull 15 returning guests from last year and look at them one by one. Ask yourself two simple questions: Did this guest pay at today’s rates? And did it make the week easier or harder?

You already know the names.

Some returning guests book at your current rates and follow your policies. Others expect old pricing and extra flexibility. When you do not separate them, you end up discounting peak inventory out of habit and flexing policies more than you would for someone new.

Where Loyalty Starts to Cost You

You know this guest.

They have stayed every year since 2019. They reference what they paid back then. They expect the same peak dates and the same flexibility because “we have always done it this way.”

Because they have been loyal, you make exceptions.

You hold peak dates longer than you would for someone new. You hesitate to raise the rate to match your current pricing. You approve a late checkout without stepping back to consider the tradeoff.

High effort usually looks ordinary:

• Several pre-arrival emails about small details

• Pushback on updated cancellation terms

• Room changes after assignment

• Extra coordination with housekeeping or breakfast service

• A review that compares this stay to how it used to be

None of it feels like a big deal.

Over time, it reduces what you earn per stay and increases back-and-forth for you or your team. It also trains you to treat premium dates as negotiable.

You still made money.

The question is whether it was worth the energy.

The Returning Guests Who Make You Stronger

There is another kind of returning guest.

They book at your current rates without negotiation. They understand how you operate. They do not need every policy explained again. They may not always pay your highest rate, but they book fairly and follow your systems.

In seasonal markets, some returning guests are the reason you survive November. They are steady midweek or shoulder-season bookings that bring stability when things slow down.

Not every guest who paid less is a problem.

The point is not to clamp down on everything. The point is to see where you are bending and why.

This Week’s Action

Pull 15 returning guests and sort them in your mind:

• Paid well and low effort

• Paid well but high effort

• Paid less and low effort

• Paid less and high effort

For example:

Paid less and high effort might look like a discounted peak weekend, six pre-arrival emails, a late checkout request, and housekeeping juggling room changes.

Paid well and low effort might look like a fair midweek booking, two emails total, no exceptions, and a smooth departure.

When “paid well” feels unclear, compare the rate to what a new guest would have paid for the same stay. When you discounted a peak date out of habit, that tells you something. When someone filled a quiet midweek at a fair rate and followed your policies, that tells you something too.

Then ask one simple question:

When this name shows up, do you think “great” or “here we go”?

That answer will tell you more than your repeat percentage ever will.

What To Do With What You See

When you notice that a meaningful share of your returning guests are low money and high effort, you do not need a new loyalty program.

You may need firmer boundaries.

Start by removing automatic peak discounts for returning guests. When someone wants a peak weekend, they pay the current rate.

History is not a discount code.

Look at where peak pricing has become negotiable. Look at where exceptions are automatic instead of considered. Look at whether returning guests are being held to the same policies as new ones.

At the same time, protect the guests who pay fair rates, follow your systems, and stabilize your low periods. Those are the returning guests worth designing around.

Sunday challenged the idea that arrivals are the main signal of growth. Monday focused on increasing repeat. This is the hotel and host layer underneath both.

Repeat rate is not the strategy.

Loyalty that lowers your standards is not loyalty.

Over the years, I’ve turned away repeat guests. It’s uncomfortable. But I learned that loyalty only works when it respects the current standards of the business. When it doesn’t, you start paying for familiarity in ways you may not notice at first.

Audit your returning guests this week. Then decide who your business is built to support.

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If you want to dig deeper into what actually keeps guests from coming back in the first place, I wrote about it here.

At the same time, you’re still getting calls where guests say, “I saw you on Booking.com but couldn’t find your website,” and you end up paying commission on people who clearly wanted you anyway. That stings when margins are already thin.

If you’re running a 10–20‑room place with a tiny team and a never‑ending to‑do list, this feels like one more thing you don’t have time for. You still have rooms to turn, staff to schedule, and guests who want extra pillows.

This isn’t a trend report. It’s just what I’m seeing. And it made me ask one question: What’s the least I can do this year to stay visible?

This is what protecting direct bookings looks like now.

TL;DR:

Clean your facts. Turn extras into products. Make vendors prove they’re future-ready.

The line you need to sit with: The first thing you’ll notice isn’t fewer bookings. It’s more expensive bookings. That’s what happens when demand shifts to higher-commission channels. You’re just as busy, but keeping less.

This isn’t a crisis today. But the hotels that clean this up in 2026 will have a real edge by 2027. The ones that wait will pay to catch up.

Quick check: Open your Google listing and your website side by side. Do they describe parking, pets, and breakfast the same way? If not, start there.

If your own listings don’t agree, guests don’t know which one to trust.

Your 12-Month Survival Plan (The Short Version)

If you only do four things this year, make them these, especially if you have 10–20 rooms and a tiny team. One per quarter. Not all at once.

How to know if you’re already in decent shape: If your website, Google listing, and top OTA describe the same room the same way, you’re ahead of most independents.

If you’re running on fumes, screenshot that table and come back to the rest when you have more energy. Here’s why each one matters, and what to do when you sit down to actually fix it.

What Triggered This: The Marriott-Google Signal

For the first time, search, recommendation, and booking are happening in the same conversation. Marriott has begun piloting an integration with Google that lets selected properties be found and booked directly inside AI Mode. A guest describes what they want. The AI shows options and completes the booking. No website visit required.

Small pilot. Big signal. Where does your hotel show up in that conversation?

Why This Matters to Smaller Hotels

This isn’t mainly about Marriott. It’s about how AI tools are starting to see and choose places to stay.

Here’s what I keep seeing across vendors and client calls:

Structured data matters. Structured data simply means your hotel facts stored in specific fields in your systems: room type, view, bed type, balcony, breakfast, parking, pet policy, and so on. Not buried in long descriptions. Tools lean on clean facts, not your prettiest paragraph. You already have most of this. It’s just messy.

Consistency across sources matters. When your website, Google listing, and OTAs don’t tell the same story, you’re harder to trust and easier to skip.

Set up for AI means your rooms and offers are described so tools can read, compare, and book them through the connections your vendors already provide: your PMS (property management system), CRS (central reservation system), booking engine, channel manager, and Google.

AI isn’t reading your story. It’s checking your facts. If the facts are fuzzy, you don’t make the shortlist.

When an AI answers “Where should this person stay?”, it’s scanning for: room types and configurations, what’s included, price and restrictions, location and nearby points of interest, policies (cancellation, pets, parking), and perks or add-ons that create extra value.

If your info is thin, inconsistent, or scattered, you’re less likely to show up, even if guests love staying with you.

In real projects, I’ve watched small, well-run independents with strong content and clean data appear ahead of bigger brands. I’ve also seen good properties get buried simply because their information is messy or incomplete.

The math: If 10% of your bookings shift from direct to OTA, that’s thousands a year in commissions for the same rooms. Same guests. Less money kept.

The Big Idea: Your “Digital Shelf”

Across different tools and vendors, I keep seeing the same pattern: the hotels that do best in this new world treat their information like a product catalog, not an afterthought. Rooms and offers aren’t vibes. They’re items on a shelf.

“King Room” isn’t a product. “Top-floor king, balcony, harbor view, parking included” is.

In practice, this means one reliable source for: room types and configurations, rates and restrictions, photos, descriptions, amenities, policies (cancellation, pets, parking, etc.), and add-ons and experiences (breakfast, parking, tours, spa, etc.).

All of it feeding your website, booking engine, channel manager or CRS, Google Business Profile, OTAs, and the AI-driven features those platforms are rolling out.

The cleaner that shelf is, the easier it is for both human guests and AI-assisted tools to understand, compare, and present your property.

What’s Changing, and What’s Not

What’s shifting: More guests will use conversational tools (Google AI Mode, other AI assistants) to find places that match specific needs and budgets. Those tools act like a first filter, deciding which hotels to show based on the data they can access. A guest who types “pet-friendly hotel with parking near the waterfront” gets a shortlist built from organized facts, not from who has the best homepage copy. A family searching “two-bedroom suite with kitchen, walking distance to beach” will see whoever described that room type in their system, not whoever wrote the most persuasive paragraph. If you didn’t describe it, the AI assumes it isn’t there. Your content and data quality are becoming as important as your ad spend and website design.

What’s not changing: Guests still care about cleanliness, comfort, safety, and value. Independent hotel guests in particular say they value personalization, local character, and service. AI changes how guests find and evaluate you; it doesn’t replace the on-property experience you deliver.

Your 12–24 Month AI Action Plan (The Deep Dive)

Most hotels are experimenting with AI in limited ways but haven’t fully baked it into distribution and marketing yet. You don’t have to be ahead of the curve overnight.

Think of this as: one weekend task, a few vendor calls spread over the year, and a handful of small changes to how you set things up.

Step 1: Align Your Core Facts Everywhere

(Effort: one half-day with you and/or a trusted staff member)

Start with your basics. Not sexy. It works.

Make sure your website, Google Business Profile, and OTAs match on: name, address, phone, check-in and check-out times, parking, pets, Wi-Fi, and cancellation policy.

Clean up visuals and copy. Current, honest photos of rooms, bathrooms, public spaces, exterior. Simple, specific descriptions:

Before: “Nice king room with view.” After: “Top-floor king room with balcony and harbor view.”

Before: “Standard double.” After: “Ground-floor double room with step-free access from parking, good for limited mobility.”

You don’t need a new website to do this. A few focused edits to your existing pages often move the needle.

Step 2: Turn 3–5 Extras Into Real Products

(Effort: one working session with your PMS, CRS, or booking engine provider)

Many hotels already offer extras but don’t represent them as structured, bookable items. More and more tools are built around those extras being explicit products.

Here’s where this gets real: I’ve talked to hoteliers whose front desk answers the same parking question five times a day because the website says “parking available,” the OTA says nothing, and the booking confirmation doesn’t mention it.

That’s not just an information problem. It’s staff time, guest confusion, and bookings that almost happened but didn’t.

When information is broken, your team fills the gap with their voices.

Write down what guests already pay extra for or ask about: early check-in or late checkout, parking, breakfast, F&B credits, dining packages, romance or celebration touches, local experiences (tours, tickets, rentals), pet fees and amenities, workspace add-ons, meeting rooms, day-use offers.

Then, with your vendor, set up a few as bookable add-ons:

Before: “Romance package” mentioned in a paragraph. Guests must call or email.

After: “Romance Package” in your booking engine with:

• Name: Romance Package

• Inclusions: bottle of sparkling wine, late checkout, rose petals

• Price: defined per stay

• Availability: Friday–Sunday, select room types

Easier to book. Easier to upsell. Less back-and-forth. It also means your team stops answering the same questions manually.

Start with 3–5 things you already do that guests love.

If you’re a small inn or hotel property with a small team, Steps 1 and 2 are the moves that matter most right now. Do those two and you’re ahead of the majority of independents. Steps 3–5 are worth doing over the rest of the year, but they can wait until you’ve handled the foundation. Come back when you’re ready.

Step 3: Ask Vendors the AI Questions

(Effort: one call per vendor, spread over the next few months)

This is the line I keep coming back to: you don’t have to build the tech yourself, but you do have to ask better questions.

A note before you pick up the phone: Most vendors won’t have perfect answers yet. You’re not behind for asking. The point isn’t to quiz them. It’s to find out who’s thinking about this and who isn’t. That tells you a lot about where to invest your time and money over the next year. If your vendor answers with buzzwords and no examples, that’s your answer.

Talk to your booking engine provider, channel manager or CRS, PMS, and website or digital agency.

Ask them:

• “How are you preparing to connect my property to AI-driven search and booking (Google’s AI, other AI trip planners, etc.)?”

• “Can you give me one clean source of truth for my rooms, rates, content, and add-ons that all channels pull from?”

• “How do you keep my content structured and up to date across Google, OTAs, and my website?”

• “What should I do in the next 12 months to be more visible in AI-driven search using your tools?”

Listen for specifics. Roadmaps, existing integrations, and concrete recommended actions are positive signs. Vague answers with no timeline may indicate a vendor that is still catching up.

You don’t have to switch tomorrow. But this should shape who you renew with.

Step 4: Pilot 1–2 Practical AI Tools

(Effort: small tests you can turn off if they don’t help)

Here are a few realistic use cases other independents are exploring:

Rates and demand: A tool that suggests rate changes based on demand and events, while you retain final approval.

Direct bookings: A booking engine that helps guests narrow their choices and suggests upsells. A simple site assistant that answers common questions and keeps guests from leaving to “go compare.”

Start with free trials or short pilot periods and basic A/B comparisons where possible.

If it doesn’t help guests choose you or save your team time, drop it.

Step 5: Use Guest Data to Create Real Loyalty

(Effort: small ongoing habits)

Across reports and real-world case studies, one theme keeps repeating: first-party guest data and email relationships get more valuable as third-party channels and algorithms get more complex.

Keep guest emails, stay history, and simple notes (e.g., “anniversary,” “business,” “family”) in one place, even if it’s just a basic field or tag in your PMS.

Make it easy to spot repeat guests and high-value types (corporate, event, long-stay).

Then put that to work: make direct bookings better with preferred rooms, flexible check-in, small credits or perks. Match offers to what you know. A returning couple marked as “anniversary” gets a romance add-on offer. A repeat business guest gets an early check-in or workspace-related perk.

Now both guests and AI can see why booking direct makes sense.

What About Short-Term Rentals?

Here’s the good news first: hotels have built-in advantages that matter to both guests and AI tools. Daily housekeeping. 24/7 staffed front desk. Defined safety and security measures. Onsite food and beverage or guaranteed breakfast. If you state these in your descriptions and profiles, you differentiate yourself in mixed search results.

Now the context: one shift I keep noticing when I test these tools myself is that hotels aren’t just competing with other hotels anymore. Short-term rentals (STRs) are increasingly part of the same AI trip planning tools.

When someone asks, “Find me a place for 6 people with a kitchen and parking within walking distance of downtown,” those tools can show a hotel, an apartment, and a whole house side by side.

For you as a hotelier, this means your competition in AI-powered searches may include nearby homes and apartments. If their listing is more complete than yours, they may win the booking, especially for group and family stays. STR hosts are also adopting better tools, including AI-assisted pricing, messaging, and content optimization.

But the same work you’re doing on better descriptions, photos, and extras improves your position against STRs too. The clearer listing wins, not the category. AI doesn’t care what you meant. It cares what you wrote down. Highlighting your hotel-specific advantages is part of the job.

If you also manage STRs, applying the same content and data discipline to those listings will help them in AI-powered environments too.

What If You Do Nothing?

In the next few months, not much looks different. Your website stays up. OTAs still send bookings.

But over the next few years: more guests start trip planning inside AI tools, those tools get better at combining what they see across Google, OTAs, and your site, and hotels with richer, more complete information start appearing more often in recommendations.

Nothing breaks overnight. It just gets more expensive to stay visible.

Visibility isn’t a marketing trick. It’s operational hygiene.

These aren’t predictions. Just notes from what’s already happening. AI is becoming a new layer between you and your guests, and coherent, matching information is a lever you control for staying visible in that layer.

You don’t need to learn AI. You just need your hotel information to be easier to read.

Own that part, and Google finally has something real to work with.

Want a quick AI visibility check? Send me your hotel website and your Google listing. I’ll point out the first contradiction a guest would see, and that AI would amplify.

Quick FAQs

How will AI search affect my small hotel? AI tools are becoming the first gatekeeper between guests and your property. Accurate, complete information will matter more than ever for whether you show up in recommendations.

What is the minimum I should do in the next 12 months? Align your basics across channels, refresh room descriptions and photos, turn 3–5 extras into bookable add-ons, and ask your core vendors how they’re preparing you for AI-driven search.

Do I need new tech to prepare for AI search? Not right away. You can make meaningful progress by cleaning up your data and content, then using vendor conversations to decide when, or if, new tools are worth it.

Is my booking engine or PMS holding me back? Maybe. The vendor conversation in Step 3 is designed to answer exactly that. If your provider can’t explain how they’re preparing for AI-driven distribution, that’s useful information for your next renewal decision.

How do I know when my information is “clean enough”? If your website, Google listing, and top OTA describe the same room the same way, same bed type, view, and inclusions, you’re in better shape than most independents. Start there.

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Your team already knows what’s confusing your guests. The question is whether they’ll tell you the real list or the version that won’t get them in trouble.

Before you ask your team anything this week, try this:

Name one thing about your property that isn’t working, something you built or chose, and say it out loud to the person who’s at the property when you’re not.

Not in a meeting. In passing.

What they add to your observation is more honest than any survey you’ll ever run.

The Napkin Test isn’t the problem

Monday’s article introduced the Napkin Test: ask your staff what confuses guests, sort the answers into three columns (information problems, design problems, expectation problems), and you’ve got a priority list.

One reader nailed it: “The Napkin Test only works in places where people feel safe enough to answer. In some hotels, staff know what’s broken. They’ve learned not to say it.”

That’s the part nobody talks about. You can have the best tool in the world. If your team doesn’t feel safe answering honestly, it won’t work.

What holding back looks like

Your team isn’t lying to you. They’re picking and choosing. You do this too, by the way. We all do.

When you ask “what’s confusing guests?” someone on your team who doesn’t feel safe will still give you real answers. The parking sign. The wifi password confusion. The fact that breakfast hours aren’t on the website. All true, all fixable, all safe to name.

What they won’t mention is the listing description you wrote that doesn’t match reality. The pricing structure that confuses repeat guests. The process you built that creates more questions than it answers. Those stay in their head, because raising them feels like criticizing the person who asked.

Here’s the tell. You get a napkin full of real problems. It looks complete. It isn’t. Everything on it points outward: the OTA, the tourism board, the city’s parking. Nothing points inward at your own decisions. That’s not deflection. It’s self-protection.

This isn’t rare. Researchers found 85% of workers have held back something important from a boss. Not because they’d get fired. Because they’d get seen differently.

In a property where your team is three people, and you work side by side every day, the cost of being seen differently is real. It’s tomorrow’s shift. So people stay helpful, polite, and quiet.

Meanwhile, you’re promoting an experience that isn’t quite what guests are actually living.

Why going first works

People don’t speak up because you told them they could. They speak up because you went first.

You’re not asking them to be brave. You’re showing them what it looks like to name your own blind spot out loud.

“I’ve been thinking the check-in instructions I wrote are confusing people. You see it more than I do. What do you think?”

That tells your team more about what’s safe to say than telling them “you can always come to me” ever will.

And when the honest answer is “I can’t fix this yet, here’s why”? That still counts. What breaks trust isn’t the problem you can’t fix. It’s when something gets raised and disappears into silence.

This week, do this: Go first.

Then listen.

What they add to your observation is your first honest napkin item. Monday’s article shows you what to do with it.

Your trigger: The first time I see my team today, I’ll name one thing that might not be working before I ask what they’ve noticed.

Here's how AI could help you with this

Once you have the honest list, this helps you sort it.

Paste this into any AI tool:

“Here are the things my staff said confuse guests: [paste list]. How many point to problems I control (my processes, my messaging, my listing, my space) versus problems caused by outside forces (the destination, the OTA, the city)? If most point outward, suggest three inward-facing questions I could ask to surface the gaps they skipped.”

The person who knows where your guest experience breaks may not be here next season if they’ve decided it’s not worth raising.

Monday’s Napkin Test gives you the method. This week, find out whether the people closest to your guests feel safe telling you the truth.

If you missed Sunday’s piece on destination coordination or Monday’s Napkin Test article, both connect to this:

Parts of a Trip That Confuse Visitors

The Napkin Test

Try this once this week. You’ll surface one problem you didn’t know existed.

If you try this, hit reply and tell me what happened.

I didn't learn this from a book. I learned it from years of my staff telling me something wasn't working and me doing nothing, or being afraid to tell me because I'd get upset.

AI treats all of it as current fact.

This week, do this: Pull up your Booking.com or Expedia description. Read it like a guest who has never heard of you. Count the lines that are wrong, outdated, or so generic they could describe any property in your area. That number is the reputation AI is repeating about you.

Before you check bookings this week, read your listing first.

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Where the wrong answer starts

When someone asks ChatGPT, Gemini, or Perplexity about your property, those tools don’t call you. They don’t check your website. They pull from whatever text is most available, most structured, and most repeated across the web.

It’s the OTA page. One description. One amenity list. One set of policies. Repeated across platforms, cached by search engines, scraped by AI.

That’s the source file.

Why this hits harder in spring

Spring is when you’re competing for guests who’ve never heard of you. They have no reviews from friends, no past stays to reference. The listing is the first impression. And sometimes the only one.

When someone asks “Is [your property] good for families?” or “Does it have a pool?” or “What’s the parking situation?” the AI answers from whatever it can find.

It’s that same listing. Not your website. Not your Instagram. The listing you set and forgot.

The guest who gets a wrong answer doesn’t complain to you. They book somewhere else. The guest who doesn’t book never tells you why.

The part that costs you

Here’s the part most operators don’t want to admit. You probably didn’t write that OTA description with much care. Most operators didn’t. You were filling in fields to get listed, not writing the script AI would repeat for years.

No one told you it would matter this much. Now it does.

And here’s the cost you’re already paying: every outdated line, every vague amenity tag, every “charming property in a great location” sentence is being served up as a confident answer to a guest with a real question. You never see the conversation. You never correct it. The booking disappears.

That’s not a visibility problem. That’s an accuracy problem. And it sits inside a listing you control.

What to do about it

Fast (10 minutes):

• Log into your top OTA platform. Read your description as a stranger. Mark anything wrong, missing, or generic enough to describe half the properties around you. Fix the three worst lines today. Start with anything that’s no longer true. Wrong beats vague.

You probably have this same stale listing on three or four platforms, not one. And most OTAs take days to reflect changes. The real time cost is closer to 45 minutes across all of them. Plus the wait. Start with the platform that sends you the most bookings. Get that one right first.

Deeper (30 minutes):

• Open ChatGPT or Perplexity and ask: “Tell me about [your property name + location].” Compare what comes back to what’s actually true right now. Note every gap. Those gaps trace back to what your OTA listing is feeding the AI. Or failing to feed it. This isn’t a content exercise. It’s how you see the version of your property already being sold without you.

Copy-paste prompt to run on your own listing:

You are a first-time guest who found this property through search. Based only on this description, rewrite the three weakest lines so each one could only describe this property and no other. Then list what you’d confidently tell a friend about the property, and what questions the description leaves unanswered. Flag anything generic enough to describe most properties in the area.

Paste your current OTA description above that prompt. You’ll get draft replacement lines you can copy straight back into your listing.

When you log into your OTA dashboard this week, don’t just check bookings. Read your listing as a stranger and fix the three lines that are no longer true.

You can’t edit the AI. You can edit what it reads. Start with the listing.

Guests are not just leaving.

They are deciding whether you become part of their routine or something they return to year after year.

Most businesses invest in acquisition before they invest in experience. They boost posts. They run ads. Meanwhile, the close of the visit is treated like an afterthought.

Experience becomes marketing.

When it is average, marketing gets expensive.

Every forgettable goodbye is a future acquisition cost.

Map the final five minutes.
How the bill is handled.
How delays are explained.
How staff make eye contact.
Whether the guest leaves feeling settled, appreciated, and clear about coming back.

Those last moments shape memory.
Memory shapes return.

Habits are built on consistency, not campaigns. When a guest leaves feeling good about how they were treated, the return becomes natural.

The most powerful marketing asset in hospitality is not your ad budget.

It is the moment right before the door closes.

Why do the last five minutes matter in hospitality?
Because final moments shape memory, and memory drives return behavior and referral decisions.

Because the number you set is telling the guest what kind of stay to expect. And when that number says “discount” while your listing still says peak season, you’ve built the same gap the Tuesday Test finds. Only now it’s baked into the price before the guest even arrives.

Off-peak isn’t cheaper peak. It’s a different product. And most operators never read the number back to see which one they’re selling.

This isn’t about holding rate. It’s about whether the story matches the number.

This week, do this: Pull your last five off-peak reviews. Scan for expectation language:

• “expected”

• “thought it would be”

• “quieter than anticipated”

• “wasn’t what we pictured”

• “not what the photos showed”

Count how many of those are about something that went wrong versus something that didn’t match what the listing implied. That number tells you whether you have a service problem or a pricing-and-framing problem.

It takes ten minutes and a coffee.

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What’s happening

Rates are barely moving. Costs aren’t. You already know this from your bank account.

The instinct is understandable. Occupancy is soft. Drop the rate. Fill the room.

But here’s what happens. They fill more rooms. And make less money. Discounting filled rooms. It didn’t fill the gap.

And the guests who book on a discount aren’t booking the same stay at a lower price. They’re booking a different expectation.

Your rate sets the expectation before the guest reads a word. When the number says “deal” but the listing says “peak season,” the guest adjusts the story in their head before they ever arrive.

The cost isn’t the lower revenue per night.

It’s the review.

A guest who paid a considered rate for a stay that was described with care leaves a different review than one who paid a discount rate and got something they weren’t expecting.

The first one was choosing. The second one was comparing.

That review is now negotiating against you every time you raise your rate. When your review scores go up, your pricing power goes up with them. Guests will pay more to stay somewhere other guests were happy.

There’s a second problem. The longer you hold a discounted rate, the more your guest starts to believe that’s what your property is worth. The discounted number becomes the “real” number in their head. And once that number sets, you’re competing against your own past price.

Most independent operators don’t have someone dedicated to pricing.

It falls on you, at 10pm, between the bookkeeping and the anxiety. Nobody walks you through how the rate you set tonight shapes the review you get next month and the booking you lose next season.

What reframing sounds like

Everyone says “reframe the experience.” Nobody shows you the words.

Here’s what it can look like in practice:

A coastal property in a cold-weather market:

Before: “Enjoy our vibrant seaside village and lively restaurant scene.”

After: “February means the beach path is yours, the café tables are open, and you won’t need a reservation.”

An island guesthouse heading into green season:

Before: “Experience our island paradise at its best.”

After: “September is for the guests who want the locals’ version. Smaller crowds, slower pace, and the reef to yourself.”

Same property. Same room. One promises peak and delivers off-peak. The other promises exactly what the guest will find.

You don’t need to rewrite your entire listing. Start with the first sentence a guest reads after they see your rate. If that sentence was written for your busiest week, it’s working against your slowest one.

How to respond

If you have more time (30 minutes):

Go back to those five off-peak reviews from the fast action. For each one that flagged an expectation mismatch, look at what your listing said at the time. Was it still describing peak season? Were the photos showing a version of the property the guest couldn’t have experienced that week?

Now write one sentence that gives someone a reason to choose that version of the stay on purpose.

If your listings on different platforms say different things, that’s worth knowing too. Your Booking.com description and your Airbnb listing may be promising two different stays at the same price. Start with whichever platform gets you the most off-peak bookings.

AI prompt (copy and paste this):

Paste whichever listing gets you the most bookings, then add:

My peak-season rate is [rate]. My off-peak rate is [rate]. Read this listing as a guest who just saw the off-peak price. Tell me:

1. What experience does this listing promise at this price point?

2. Where does the description imply energy, activity, or conditions that an off-peak guest probably won’t find?

3. Suggest three small edits that would frame the off-peak season as something a guest would choose on purpose. Not as the same experience at a discount.

Warm, direct tone. No marketing language.

If you ran the Tuesday Test this week, you already found where your listing doesn’t match Tuesday. Now look at the rate sitting next to it. That number is making a promise too. Make sure it’s the right one.

Monday’s article has the full Tuesday Test framework and two AI prompts you can run in ten minutes. If you haven’t done it yet, start there.

Your guests don’t know that.

The Tuesday Test finds the mismatches before they show up in your reviews.

Two ways to run it. Pick whichever one you’ll actually use.

Option A: Run It With AI (10 Minutes)

Copy these prompts into ChatGPT, Claude, or whichever AI tool you have open. Fill in the brackets. The first prompt shows you what a guest sees. The second finds the fixes and writes the copy for you.

Prompt 1: See your slow day through a guest’s eyes

You are a hospitality experience auditor helping an independent property operator identify gaps between their online listing and the actual guest experience on slow days.

Here’s my property:

• Type: [hotel / inn / vacation rental / B&B]

• Location: [city or town, region]

• Size: [number of rooms/units]

• My listing highlights: [list 3-5 things your listing photos, description, or reviews emphasize]

• My slowest day: [e.g., Tuesday]

• What’s different on that day: [e.g., reduced staff, nearby restaurant closed, fewer guests, quieter area, list what you know]

First, walk me through a first-time guest’s experience on that specific day. Not a generic visit. Focus on the moments where what they expected (based on the listing) and what they find would diverge. Flag every point where there’s a gap between promise and reality.

Then ask me 5 sharp questions. One at a time to reveal mismatches I might not see because I know my property too well. Focus on: what’s actually open and available that day, what the guest does with unstructured time, and what the arrival experience feels like with reduced operations.

Prompt 2: Find the fixes

Based on our conversation, identify the three biggest gaps between what my listing promises and what a guest actually experiences on my slow day. Rank them by impact on reviews.

For each gap, give me:

1. What the guest expects (based on the listing)

2. What they actually find (on the slow day)

3. One fix I can implement this week. No new hires, no new software, no events

4. Exactly where to put it. Tell me whether this goes in my listing description, pre-stay email, welcome message, direct booking page, or check-in process

Write the actual copy I’d use for each fix. Keep it in a warm, direct, guest-facing tone, not corporate, not apologetic. Frame the slow day as something a guest would choose on purpose, not something they’d tolerate.

Two prompts. Three mismatches, three fixes, three places to put them. Ten minutes.

Option B: Run It Yourself (1 Hour)

No AI needed. Just you, your property, and an honest hour on the worst day of your week.

This is the hands-on version. No screen. Just your property on its worst day.

Step 1: Pick the day

Choose your thinnest operational day. Not a holiday. Not a crisis. The most ordinary, nothing-special day of your week. The one you’d least want a reviewer to show up on.

Block an hour. Treat it like a site visit from someone who’s never been here.

Step 2: Walk it as a stranger

Start outside. Drive the route a first-time guest would drive. Pull into the parking lot like you’ve never been here before.

Walk in through the guest entrance. Not the staff door. Not the shortcut you always use.

As you walk through, notice:

• What’s the first thing you see? Is it welcoming or confusing?

• Is anyone at the front desk? How long before someone acknowledges you?

• Does the property feel occupied or empty?

• What’s the noise level? The lighting? The smell?

• Is there anything that looks tired, dated, or unfinished that you’ve stopped noticing?

We walk our properties as owners. Never as guests. We know them too well. That’s the problem.

Step 3: Check what’s around you

Pull out your phone. Open your own listing. Read it like a guest would.

Now look around.

• Is the restaurant you recommend open today?

• Is the activity you mention available?

• Are the shops, attractions, or walkable spots your listing implies actually operating right now?

• If a guest asked you “what should I do this afternoon?” — what would you honestly say?

Write down every gap between what your listing suggests and what’s actually here today.

Step 4: Fill four empty hours

Imagine you’re a guest with nothing planned from 2 p.m. to 6 p.m. on this day. No car. Or a car but no local knowledge.

• Where would you go?

• What would you find?

• Would it feel like a good afternoon or a long one?

• Would you feel taken care of or left to figure it out?

Step 5: Find the three biggest mismatches

Look at your notes. Pick the three biggest gaps.

For each, answer:

1. What does the guest expect? (Based on what they saw before booking.)

2. What do they actually get? (Based on what you just walked through.)

3. What’s one small thing you can do this week to close that gap?

Not a renovation. Not a new hire. Not an event. Think: a different recommendation in the welcome message. A pre-stay email that sets a different tone for midweek. A line on your direct booking page that names what a Tuesday stay actually looks like.

Step 6: Do something with it

Pick one fix. Do it before your next midweek guest arrives. One.

You don’t need to solve all three mismatches this week. You need to close one gap and see how it feels. The rest will follow.

That’s the Tuesday Test.

Reviews measure the gap. Close the gap, and the reviews take care of themselves.

If you haven’t read the main piece yet, start there: The Tuesday Test: Make Every Day of the Week Worth Booking

Download the PDF Version

This interview originally appeared in Mint Pillow, a hospitality newsletter focused on independent hotels. Thanks to Jennifer Glatt and Bianca Prieto for the conversation.

Where are independent hotels gaining the biggest edge from AI today?

For most independent hotels, the biggest gains from AI aren’t happening in flashy or technical places. They’re showing up in very ordinary moments. It’s the fifth arrival question of the day. It’s the same point of confusion showing up again and again in reviews.

That’s where AI is helping the most right now. Not by adding more tools, but by reducing friction in moments guests experience repeatedly. Pre-arrival messages, arrival instructions and follow-up communication become clearer and more consistent. When those moments are easier, guests feel more confident. Staff deal with fewer interruptions. The operation runs more smoothly without adding people.

AI doesn’t create demand. It stops demand from slipping away when something feels unclear.

What’s one way AI is helping independents compete on personalization without sacrificing the human touch?

Most guests don’t want more communication. They want communication that feels relevant. The kind that makes them think, “This place understands why I’m here.”

AI helps by working with the context hotels already have, such as why someone is visiting, when they’re arriving or how long they’re staying. Instead of sending the same polished message to everyone, teams can start from something that already feels personal.

That doesn’t remove the human element. The voice still comes from the team, and the warmth still comes from the property. AI simply removes the friction of starting from scratch so people can respond naturally, even on busy days.

Personalization isn’t about sounding fancy. It’s about helping guests feel understood. Many independents are wary of adding new tech.

What separates AI that truly helps from tools that just add more to manage?

The easiest way to tell is whether the tool removes work, or creates more of it. If it adds another login, another dashboard or another place to check, it usually adds mental load. If it quietly takes something off the team’s plate, it’s doing its job. The most useful tools help draft responses instead of starting from scratch, summarize guest feedback instead of burying it in reports and turn repeated questions into fixes instead of daily interruptions.

When teams keep answering the same questions: about parking, check-in times or how to get around. It’s rarely a staffing issue. It’s usually a system issue.

How does AI change decision-making for independent owners?

Most owners already have plenty of information. What they’re missing is clarity. They can sense when something’s off, but it’s hard to pinpoint where. AI helps surface patterns more quickly, such as recurring questions or hesitation during booking. Instead of discovering issues after the season ends, owners can adjust while it still matters. They can refine messaging, update details or clarify expectations before small problems turn into lost bookings.

Guests rarely complain when they hesitate…they usually just move on. AI makes those moments visible so decisions can be made with confidence instead of guesswork.

What’s the next AI capability that will matter most for independent hotels?

The next shift isn’t about creating more content. It’s about connecting the dots across the guest experience. AI that links questions, reviews, booking behavior and staff feedback into a clearer picture helps owners see where guests feel uncertain before that uncertainty becomes lost revenue. The hotels that do best won’t be the ones using the most tools. They’ll be the ones that remove friction the fastest.

To prepare, owners don’t need to overhaul everything. They can start by organizing core guest information, making sure details are consistent across listings and being clear about how their property actually operates. AI works best when the foundation is steady.

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Anything else you’d like to share?

One thing that often gets overlooked is that AI doesn’t make a hotel more human. It simply makes the gaps in the experience easier to see. That can feel uncomfortable at first, but it’s also an opportunity. Independent hotels don’t win by being louder or more automated. They win by being clear, consistent and intentional about how guests experience their stay. AI doesn’t replace trust. It shows you where trust can be strengthened.

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Mint Pillow is curated and written by Jennifer Glatt and edited by Bianca Prieto.

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When it doesn’t, everyone feels it.

Most hospitality advice focuses on growth. Growth without alignment makes visitors hesitate and communities skeptical.

Guests arrive shaped by the internet and AI. Google says 8am. Your website says 9. That is where second guessing begins. Your team corrects confusion. Small businesses feel sidelined. Communities grow cautious.

This publication spots the pattern early while it is still fixable.

What you’ll get

One pattern. One fix.

Practical ideas you can implement this week to strengthen trust, improve direct bookings, and reduce preventable guest issues.

Built for:

• Hoteliers, vacation rentals and other lodging

• Small businesses

• Destinations

• Residents and environment

Clear thinking. Real examples. No fluff.

Choose your lens

Hosts and Hoteliers For independent hotels and vacation rentals who want stronger direct bookings and fewer preventable problems.

Destination Sunday For DMOs and chambers who want visitors and a destination that still feels like itself.

Subscribe now

This is for you if you are

Running a hotel, rental, or destination with limited staff. Trying to improve results without adding headcount. Tired of strategies that ignore community reality. Working toward tourism that lasts.

What we cover

Why guests hesitate before price even matters. How consistency influences booking decisions. Arrival clarity and the first 15 minutes that shape the stay. How destinations drift and how to correct early. How to include small businesses as part of the system. How to build confidence before a guest arrives.

About Kay

I am Kay Walten. I have spent 35 years building and operating in growing destinations and hospitality marketing.

I have seen how small corrections change direction and how trust determines whether a place holds.

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If they cannot describe you, you are invisible the moment they leave.

The Question

Can a guest describe you to a friend without opening their phone?

If they need to search, the referral usually does not happen.

“It was really nice” is not a referral. It is a dead end.

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Step 1: Sort (10 minutes)

Pull 10 five-star reviews. Make two piles (or two columns if you are using a spreadsheet).

Use whichever platform has the most. If you have fewer than 10, use what you have.

If a review does not contain a noun, it is not Sticky.

If you are debating whether something counts, it does not.

Count each pile.

Step 2: Fix Your Checkout Message (10 minutes)

One place. One change. Your checkout message.

If you found a repeating detail:

Add it to your checkout message. This is not marketing. It is helping guests not miss something worth remembering.

A coastal inn added one line: “Before you go, sit by the fire pit at dusk.” Soon, the fire pit started showing up in new reviews.

If nothing repeated:

Pick one thing guests would not find on their own. Add it to your checkout message.

• The beach path behind the grocery store

• The bakery with no sign (blue door, before 9am)

• The taco truck that only shows up on Thursdays

This can be simple. The best light in the morning. The quietest spot. A shortcut. You know something guests do not.

A cabin owner added: “Walk past the red barn to the overlook before you pack up.” It started showing up in reviews.

Your Result

Sticky count: _____ / 10

Repeating detail: _______________________

Line I added to checkout: _______________________

Most operators start with 0 to 2 Sticky reviews. That’s normal. Now you know what to fix. Give it a few stays. You will see it show up in reviews.

You now know whether guests are spreading word of mouth for you. Or not.

Referrals do not fail because guests do not care. They fail because nothing sticks.

This checks one place referrals break: memory. It is not the only one.

• Before booking: Can travelers believe what they see?

• After checkout: Are you getting guests back direct?

Download the Workflow

If you want AI to speed this up, paste your reviews into ChatGPT or Claude with: "Sort these into Sticky (specific detail) vs. Generic (vague praise). Count each." Manual works just as well. Use this only if it saves you time.

Get The Easy AI Prompt

Guests leave happy. They intend to tell friends. Then someone asks “where should I stay in your town?” and they draw a blank.

The problem is not that your place was bad. Nothing specific comes to mind.

“It was really nice” is not a referral. It is a dead end.

Guests leave happy. They intend to tell friends. Then someone asks “where should I stay in your town?” and they draw a blank. The problem is not that your place was bad. Nothing specific comes to mind.

“It was really nice” is not a referral. It is a dead end.

Why the system forgets you

Right now, roughly 77% of repeat guest revenue still flows through online travel agencies (OTAs). About 8% of guests who first book on Airbnb switch to booking direct the next time.

Booking.com’s loyalty programs are designed to increase repeat behavior to their platform, not to your property.

These numbers skew higher for large portfolios.

Smaller operators often do better. Until things get busy. Then the booking still comes through the platform.

When the platform is easier to remember than you, you lose:

• The repeat stay

• The referral

The industry problem is not loyalty. It’s recall.

Most guests don’t leave unhappy.
The platform is simply easier to remember than your place.

When a friend asks where to stay, they need one clear detail they can repeat.

“There was this bakery they told us about. Blue door. No sign. Go before 9am.”
That travels.

“Really clean, great location” does not.

One operator noticed guests mentioning a walking path behind the grocery store.
Three months later, a new guest booked because their cousin mentioned that path.
Same detail. Two bookings. That’s a working referral.

Your reviews tell you whether this is happening.
Count how many mention a specific moment versus generic praise.
That ratio tells you whether your guests can sell you to their friends.

Right now, you’re paying to acquire guests who already want to recommend you but can’t.

Every “it was great” without a reason is a referral that dies mid-sentence.

This isn’t a marketing problem.
It’s a memory problem.

Fast: 10‑minute review check.

If you only do one thing from this email, make it this ten-minute review check.

Take your last 10 five-star reviews and make two tallies:
• Reviews that mention a clear moment or detail
• Reviews that sound like “great stay,” “super clean,” or “would recommend”

When the generic pile is bigger, guests can’t tell other people why they chose you.

As a quick benchmark:
• 6 or more specific reviews = referral fuel
• 2 or fewer = nothing memorable to repeat

If you only have three reviews, run the same check anyway. You’ll still learn something.

Deeper: 30 minutes (save for later)

When you have more time, look at guest photos and messages. What do they mention without prompting? By the end, you’ll have a shortlist of 3–5 moments.

Today is about noticing the disconnect. Thursday is about what to do once you see it.

If you want this done in five minutes, use AI

This prompt helps you sort reviews and spot patterns faster. The counting matters more than the tool.

Copy your reviews into your AI tool of choice and paste this:

You are a short-term rental consultant. I will paste several guest reviews.
For each review, give:

• an index number

• the first few words

• one category:

  • Sticky (specific detail a guest could retell)

  • Generic positive (vague praise that could fit any rental)

  • Utility (mainly logistics or communication)

Then tell me:

• how many reviews are in each category

• which specific details repeat across Sticky reviews

• if no details repeat, what pattern you see in the Sticky reviews

When a detail repeats, that is your existing peak. Amplify it. When nothing repeats, you know your next job is to design one clear, memorable moment.

You are not behind on referrals. You are just seeing where they actually start. That is the only job for this week. 😉

Kay

If, you missed Sunday’s post showed how guests vanish before booking.

Some of you asked for the AI prompts I mentioned. I built them into a free guide.

Download: AI Prompts for Destination Information Consistency →

You run a chamber with no marketing staff. Or you volunteer on a tourism committee that meets once a month. You handle ribbon cuttings, the annual festival, member retention, the website, and the things nobody else will do. Tourism is one responsibility among twelve.

You’ve opened ChatGPT once or twice. To summarize meeting notes. To draft a proclamation.

Here’s what the first ten minutes look like.

You pick one business. The café on Main Street. You open Google and copy their hours. Then you check their website. You paste both into ChatGPT or Claude, along with the first prompt from the guide. ChatGPT returns a side-by-side table: Google says closed Sundays. The website says 12-5pm. Phone number matches. Photos don’t. Below the table, a short email ready to edit.

That email:

“Hi Tom, I noticed your Google listing shows you’re closed Sundays, but your website says 12-5pm. Travelers check both. Might be worth a quick update. Let me know if you need a hand.”

Ten minutes. One business. One email that sounds like you wrote it.

Tom from the hardware store sits two seats down at Rotary. You send him a robotic email. He mentions it. You hear about it for months.

The prompts produce drafts that sound like a neighbor checking in. You read them before sending. You change words. You add a sentence about his new granddaughter. Personalize it. The draft is a starting point. You finish it.

Sometimes Tom doesn’t respond. That’s normal. The guide includes a short follow-up prompt. You send it. If there’s still no reply, you move on to the café next door.

A volunteer committee in a town of 1,800 used two prompts from this guide. They audited their main inn and downtown art gallery. Total time for the quarter: under an hour. Both businesses updated their listings. That gave the committee a credible story for their next grant application.

What you actually get (quickly):

Six prompts you copy and paste. One for auditing businesses. One for outreach emails. One for seasonal checklists. One for board reports. The last two cover business owner handouts and review responses.

A one-page handout for business owners. No mention of AI, so you skip that conversation. A 10-minute checklist they can do themselves. You print it. You hand it to restaurant owners. They fix their own Google listing without asking you for help.

A version for committees with 10 hours per year. Four to six businesses. That’s a successful year.

Safety checklists. What to delete. What to verify. What never to let AI guess about.

The guide is longer than you need. Start with page 8, Prompt 1. That’s the only prompt you need this month.

The guide assumes you have one hour per month. Break that into 10-minute chunks between phone calls. Skip weeks when the council meeting runs long. Come back to it when you can. The audit you did in March still applies in June.

Get the Guide (free)

When you don’t click through, here’s what you can do this week:

1. Pick one business. Your most-visited restaurant or main lodging property.

2. Google their name plus your town.

3. Compare the hours Google shows to the hours on their website.

4. Write down the mismatch.

5. Send a two-sentence email: “Hey, noticed your Google hours don’t match your website. Might confuse visitors. Want help fixing it?”

That’s the whole method. The guide gives you prompts that organize the work faster. The steps are the same.

Reply and tell me what you tried. Or what got in the way.

Know another chamber director or tourism volunteer who could use this? Forward it along.

Kay

The Core Idea

Every repeat question lands in the first 15 minutes. The arrival window where guests are still deciding whether this place was ready for them.

Every repeated question is a doubt. Every question guests have to ask is a signal something isn’t clear.

This workflow finds your most frequent question and eliminates it. Then you do it again next month.

One question. One fix. Verified. Repeated.

What this is not: More tools, software, or longer guest messages. This is about removing the questions that never should have existed.

If You’re Running This With a Team

Frame it as: “You’re absorbing friction that guests shouldn’t be creating.”

Share

Part 1: Gather the List

If you have on-site staff: Ask them: “What question do guests ask you most often—something you answer at least once a shift?” Write down every answer.

If you manage remotely: Pull up your guest messages from the last 30 days. Scan for questions that repeat across OTA threads, your PMS inbox, and texts.

If you’re solo: Keep a tally for one week. Every repeat question gets a mark.

Part 2: Score and Pick

For each question, score three factors:

Add the scores. Pick the highest-scoring question you can fix this week.

If two tie, pick the one that happens at arrival. Arrival friction costs trust.

Part 3: Diagnose the Gap

Before you fix it, understand why the question exists.

The physical test: Stand where a guest would stand when they’d ask this question. Is the answer visible? If managing remotely, walk through your messages in order.

Common failures:

Part 4: Design the Fix

Access Questions

“How do I get in?” / “What’s the code?” / “Which entrance?”

Fix: Pre-arrival message with photo + code, timed for arrival. Mark the door if it’s not obvious.

Test: Can they get in at 11pm, in the dark, without messaging you?

Orientation Questions

“What’s the WiFi?” / “How do I work the TV?” / “Where’s the ice machine?”

Fix: Information at the point of use, not the point of entry.

Test: Can they find it without searching, scrolling, or opening an app?

Logistics Questions

“What time is checkout?” / “Do I need to do anything before I leave?”

Fix: Confirmation message AND check-in message. Bolded. Near the top.

Test: Can you find checkout time in under 5 seconds?

Parking Questions

“Where do I park?” / “Is it free?” / “How many spots?”

Fix: Pre-arrival message with photo of the exact spot or lot.

Test: Can they park without circling or messaging you?

Area Questions

“Where should we eat?” / “Is the trail open?”

Fix: Three curated picks with one line each. Keep it current or remove it.

Test: Is every recommendation open this week?

Part 5: Implement

Signage: Fewer than 10 words. At the decision point, not after. Readable from 6 feet.

Messages: Key info in the first 3 lines. Check every channel; guests may only see one.

Placement: Point of use beats point of entry. If they have to search, it’s wrong.

One fix this week.

Part 6: Verify

One week later:

• If you have staff: “Is anyone still getting asked [the question]?”

• If remote: Search your messages. How many times did it come up?

• If solo: Run your tally again. Compare.

Part 7: Repeat Monthly

Attach this to something you already do: listing review, staff meeting, property walk.

The monthly question:

“What question am I answering most often right now?”

One question. One fix. Verified. Repeated.

What About Questions You Can’t Fix?

Some frequent questions have no cheap fix. “Why is the WiFi slow?” “Why is parking so far?”

You can’t eliminate them. You can prevent them from becoming complaints.

Acknowledge proactively: Name it before they experience it. - “Fair warning: WiFi is solid for streaming but not ideal for video calls.”

Reframe the tradeoff: Help them see what they’re getting. - “No elevator, but original hardwood and 12-foot ceilings in a building from 1920.”

Offer a workaround: Give them an option. - “Need fast internet? There’s a coworking space 10 minutes away.”

Proactive acknowledgment doesn’t fix the problem. It prevents the question from becoming a complaint.

Quick Reference: Fix Matrix

The One Thing

What question do guests ask most often?

Write it down. Fix the top one this week. Verify it worked.

Then ask again next month.

Questions or want help running this? Message me.

Part of the Smart Pineapple operational series, building on arrival readiness and the 90-second reset. Guests who don’t have to ask questions arrive calmer. Operators who don’t answer repeat questions have capacity for what matters.

Properties didn’t get worse. Everything before arrival got messier.

That’s how it shows up: guests who don’t complain but don’t come back. Checkouts that feel flat. Reviews that say “nice place” and nothing else. Staff are burning out at check‑in, with no obvious culprit.

Arrival is where you inherit problems you didn’t create.

When we greet them with standard scripts, it can feel out of sync instead of welcoming. The script isn’t the problem. The timing is.

This Week, Do This

Stop opening check‑in with “How was your trip?”

It sounds polite. It backfires when someone arrives frustrated. It pulls the frustration forward instead of releasing it.

• “You made it.”

• “Your room’s ready, let’s get you settled.”

If you run self‑check‑in:

Look at the first message guests see when they arrive. If it’s longer than three sentences, cut it. Lead with the door code. Put everything else after they’re inside.

One operator we work with switched from “How was your trip?” to “Your room’s ready, let’s get you settled.” Within a month, check‑ins got easier and guests lingered at checkout instead of rushing out.

This is a small change with an effect you’ll notice.

Run it like a mini‑experiment: pick one day or one shift this week where everyone on that desk uses the same opening line. At the end of the day, ask the team how it felt and what they noticed.

If you try a new first line this week, what happens?

Read the Arrival, Not the Reservation

Guests show you what they need in the first few seconds.

Here’s what to look for:

• Scanning the room — They’re looking for orientation.

• Exhaling, shoulders dropped — They’re ready for acknowledgment.

• Talking fast, clipped sentences — They’re looking for resolution.

• Lingering at the door, not approaching — They’re waiting for permission.

Your job in those first seconds is simple: read the state, not the script. It’s okay if your tone shifts with what you see, calm and direct for the rushed guest, slower and warmer for the guest who finally exhaled.

Self‑Check‑In Is Still a Check‑In

Even if you use self‑check‑in, you still have an arrival problem.

There’s no front desk when guests self‑check in. So your parking instructions and your first message are the front desk. That first text sets the tone. Not later. Not after they get inside. Right then. Often in the dark. Often with bags. Often already annoyed.

If a guest has to scroll to find the door code, arrival has become a task instead of a relief.

Self‑check‑in doesn’t remove the arrival moment. It just moves it into the guest’s phone. Usually, when they’re tired, outside, and trying not to annoy the neighbors.

A good rule of thumb:
If your first message explains more than it helps someone get inside, it’s doing too much.

One simple pattern that works:

“Here’s your door code for tonight: 1234.
You’ll see the red door in the photo below on the right side of the lot.
If you don’t see this within 30 seconds, text me and I’ll guide you in.”

You can go one step further: add a photo of the entrance and a short line like “This is what you’ll see when you’re in the right spot.” It lowers friction before they even start typing the code.

Clean arrival isn’t about being friendly. It’s about being clear.

The 90‑Second Window

In roughly the first 90 seconds after arrival, a guest’s frustration is still loose. It hasn’t attached to you yet. What you say in that window determines whether the frustration releases or settles in.

After that, it’s yours.

In that window, your first line either feeds the anger loop or quietly breaks it. Avoid leading with extra requests, payments, signatures, policies, until you’ve given them that first line that tells their nervous system, “you’re safe, you’re here, we’ve got you.”

What Else Gets Decided at Arrival

Stop apologizing for destination failures. When you say “I’m so sorry about the traffic” or “I’m sorry the directions were confusing,” you can implicitly signal ownership of problems you didn’t create.

Instead: “That’s frustrating. Let’s get you settled.”

Most arrival stress isn’t interpersonal. It’s signage, entrances, sightlines. Is your signage clear? Is the entrance obvious? Can someone find you without asking?

A simple test: send a friend the address and a photo of your entrance and ask them to find it at night. If they miss it, your guests will too.

Think beyond the front door: where do rideshare drivers usually stop, and can you show that spot? What happens if someone arrives with an oversized vehicle? Do your messages and signs make that obvious before they’re stuck?

These aren’t hospitality failures, they’re setup problems you can fix.

Where the Stay Really Starts

This week is about your ninety seconds—and the one line that changes them.

You don’t need a new system, just a better first moment.

This week, try the one change. Share this with your team, pick one opening line together, and run it for a day. Change the first sentence. Watch the rest of the stay soften.

P.S. Out of curiosity, we asked AI the same question. If you want to play with it, here’s a version that works well:

You are a hospitality trainer helping front‑desk and self‑check‑in teams. Give me 5 short, warm alternatives to “How was your trip?” for a guest who has just arrived frustrated after a difficult drive. Each line must acknowledge the effort of getting there, avoid asking a question, sound natural in a mid‑scale hotel or short‑term rental, and be 3–10 words long. Reply with the 5 lines only, no explanations.

Paste that into ChatGPT or Claude. You might steal a line or two for your next team script review.

Over-apologizing for things outside your control doesn’t protect the guest experience. It damages it. Every repeated apology plants a seed. By the third “I’m so sorry,” guests who might have shrugged it off are building a story about a ruined trip. A story you helped write.

In This Episode

• Why repeated apologies confirm disappointment instead of easing it

• How unrealistic listing photos set your team up to fail at check-in

• The framework that changed everything: Acknowledge, Pivot, Move Forward

• When an apology is the right move, and when it’s corrosive

• The one question that clarifies every gray zone situation

• How to protect your team from carrying weight that was never theirs

• What to say when you can’t fix it and you didn’t cause it

• Why confident redirection actually reduces bad reviews

The Framework

Acknowledge without owning:
“That’s frustrating—I get it.”

Then pivot:

• Restaurant closed? “Three great spots within ten minutes—want me to text you the list?”

• Trail washed out? “The coastal path has better views this time of year anyway.”

• Weather’s gray? “The spa’s empty if you want a slot.”

You’re not pretending the problem doesn’t exist. You’re just not apologizing like it’s your fault.

The Gray Zone Test

Ask yourself: Could I have prevented this?

If yes… that’s yours. Apologize.
If no… it’s not. Acknowledge, pivot, move forward.

Your Action Item

Pick one thing your team keeps apologizing for that isn’t in your control. Give them one sentence to say instead of “I’m so sorry.”

This isn’t a training program. It’s a two-minute conversation before the next check-in.

“Every repeated apology tells them: something is wrong here. Every calm redirect tells them: you’re in good hands. If you don’t decide what you own, someone else will decide for you.”

Thanks for listening.

—Kay

Leave a comment

This week is the other half: what to do when reality shifts and it’s not your decision at all.

You’ve seen this moment: a staff member apologizing for the weather. Absorbing frustration for something a booking platform promised that you never offered. By the fifth apology of the day, something goes flat behind their eyes.

Your team has become the human shock absorber for things outside their control. That’s how you get quiet resentment. And then turnover.

When expectations aren’t clear, staff pay for it first.

When to Use This

Use this anytime reality changes faster than guest expectations:

• Seasonal transitions

• Weather shifts

• Event weeks

• Construction or temporary closures

• Staffing changes

• Policy updates

• Peak-season pressure

This isn’t seasonal. It’s for any moment when what’s true today is different from what guests expect.

During peak periods or high-volume weekends, consider updating more frequently—even daily if conditions are shifting fast.

If you’re a solo operator with no staff to brief, this still applies—it becomes a self-check. A way to clarify what you need to remember to say today, and what you’re allowed to stop apologizing for.

The Goal

In 15 minutes, you can:

• Reduce emotional labor for staff

• Create consistent guest responses

• Replace apology loops with confidence

The Workflow

Step 1: List What’s True Right Now (5 minutes)

Write down what is actually happening this week.

Include:

• What’s closed or unavailable

• What’s inconsistent or unpredictable

• What guests most often misunderstand right now

Examples:

• “The trail to the overlook is closed due to erosion.”

• “Hot water in Building 2 is intermittent during repairs.”

• “The restaurant is open Thursday–Sunday this month.”

• “Check-in may take longer due to limited front-desk coverage.”

Keep it concrete. Just facts.

Step 2: Clarify What Staff Can—and Can’t—Carry (5 minutes)

This is the most important step.

Staff can help with:

• Orientation (where things are, how to get there)

• Alternatives (what still works)

• Recommendations (what to do instead)

• Tone and reassurance (making guests feel looked after)

Staff should not carry:

• Destination closures (parks, roads, attractions)

• Platform misinformation (what Airbnb or Booking.com promised)

• Weather

• Policy decisions made above their level

• Third-party failures (shuttles, vendors, wait times)

If you’re the one at the desk: this is not yours to fix. It’s yours to redirect.

This isn’t about caring less. It’s about carrying the right things.

When staff know what they’re allowed to say—and what they don’t have to apologize for—they trust management more. That shows up immediately in how guests are treated.

Step 3: Give Staff Language (5 minutes)

Confidence comes from knowing what to say.

Introduce this fallback: “If you’re unsure, start here…”

One anchor per situation works. Staff will add their own empathy—and it lands better when it’s genuine.

Examples:

• Trail closed → “The ridge trail has similar views if you’d like an alternative.”

• Restaurant hours → “We’re Thursday through Sunday right now—I can recommend what’s open tonight.”

• Hot water issue → “Building 1 has full hot water if you’d like to use those facilities.”

• Road closure → “I can help you find an alternate route or suggest things to do nearby.”

These are anchors, not scripts. Staff should sound human, not memorized.

If a guest remains upset after your response:

“Let me get [owner/manager name] to speak with you directly.”

Staff should know this option is always available. Using it is not a failure—it’s the system working.

Step 4: Identify One Proactive Guest Touchpoint (2 minutes)

One proactive sentence can prevent three reactive conversations.

If the same issue keeps causing long front-desk conversations, address it before guests have to ask.

Pick one. Not all. One sentence at check-in.

“Just so you know, the beach path is closed this week—the town trail two blocks north is a great alternative.”

If you have capacity, you can also add a small sign, a key-packet card, or a pre-arrival text. But don’t let the polished version become the barrier.

Step 5: Share It With Everyone (2 minutes)

Anyone working today needs to know what’s on this list.

For staff not present:

• Text or photograph the updated sheet to the staff group chat

• Leave a copy where the next shift will see it immediately

For very small teams, a two-minute verbal huddle often works better than paper. Not a formal meeting—just “here’s what’s different today.”

For seasonal teams or high-turnover properties, this sheet becomes even more important—it’s how new staff get up to speed without shadowing for a week.

The point is that no one gets blindsided.

A Note on Recovery Gestures

Consistency feels competent. Competence builds guest confidence.

But not every frustration requires a discount. If you’re warm and folksy, lean into that—a handwritten note, remembering their name. If you’re efficient and direct, a crisp solution delivered without fuss is its own kind of care.

Save discounts for situations you caused.

Keeping This Alive

This is a reset, not a training program.

Run it:

• Weekly during transitions

• Anytime expectations shift

• Before high-volume weekends or events

• Daily during peak season if conditions are changing fast

Attach it to something you already do. Update the sheet when you print the weekly schedule, when you do weekend prep, or when you check tomorrow’s arrivals. If it requires a separate reminder, it won’t survive.

Keep it visible:

• Taped to the back of the front-desk monitor

• On the lock screen of a shared tablet

• On a clipboard where eyes already go—not buried under other paperwork

Capture new issues. Leave space at the bottom for staff to add problems you didn’t anticipate. “Guests keep asking about the construction noise” is useful information.

Close the loop. If the same issue keeps appearing week after week, stop briefing around it—fix the source. Update your listing, your auto-messages, or your check-in script.

Update it as things change.

The Point

Your staff shouldn’t have to guess what’s happening, what guests were told, or what they’re allowed to say.

That’s not their job.

And if you’re on the front lines yourself: you’re allowed to stop apologizing for things you didn’t cause.

Clear context is one of the most generous things you can give your team—and one of the simplest ways to protect trust.

P.S. I'm combining this workflow with last week's one-sentence briefing template into a downloadable toolkit—one page for policy changes, one for situational resets, plus a quick-reference sheet for the front desk. Coming next Thursday.

You got the bookings. That should be the hard part.

Instead, you’re spending 20 minutes per guest explaining why the dive shop isn’t running, which trails are actually open, and whether the restaurant down the road takes reservations this time of year.

You’re busy. Just not with the work you budgeted for.

That’s not hospitality. It’s unpaid coordination work for someone else’s broken promises.

The more demand you generate, the more broken systems you inherit.

I’m sure you’ve lived some version of this. It’s Friday, 7pm. The guest just arrived, they’re starving, and they’re positive the bistro down the road is open because the AI said so. It closed for the season on Tuesday.

Now you’re apologizing for information you never gave, scrolling for alternatives on your phone, and watching the stay start with disappointment instead of arrival.

They haven’t unpacked yet, and they’re already wondering if they made the right call.

Every correction puts that little question in the guest’s head: who do I believe? And somehow you’re the one paying for it. With your time, your team’s energy, and trust that took a long time to earn.

Where the Time Goes

Every season has its version of this problem.

In high season, it’s the restaurant that stopped taking walk-ins three weeks ago. But Google still says “No reservation needed.” In shoulder season, it’s the trail that closed early. In low season, it’s the guest who drove 40 minutes to find a locked door.

The details change. The pattern doesn’t.

Guests arrive with a story they were told somewhere else. When that story’s wrong, trust takes the hit before you’ve even said hello.

Why This Is Getting Harder

Guests are planning trips with AI now. Those tools pull from the same outdated tourism board pages and old travel blogs you’re already answering questions about.

When the AI gets it wrong, guests don’t arrive curious. They arrive certain they’re right.

Here’s what’s actually happening: destinations market aggressively, platforms aggregate carelessly, and AI summarizes it all with confidence.

This is the part nobody talks about.

The places guests get their expectations from keep multiplying, and nobody can keep up. Stack that onto every arrival and a “great season” starts to feel exhausting fast.

The Audit: What Guests Thought Was True

This week, try this. Pull up your last five arrivals and ask yourself:

• What story did they arrive with?

• Where did that story come from?

• How long did it take you to undo it?

You’re not looking for blame. You’re listening for patterns, because that’s where you see what keeps breaking trust before guests even walk in.

This isn’t about fixing everything. It’s about taking care of what actually lands at your door.

Prompt to try

Paste your last 10 guest messages into your AI tool and ask:

“Review the guest messages and identify any that show a mismatch between what the guest expected and what was actually true.

For each relevant message:
– Describe the expectation the guest arrived with (in plain language)
– Note what was actually true
– Identify the most likely source of that expectation (e.g. destination website, Google listing, blog, OTA description, AI trip planner, assumption)

Then:
– Group similar expectation gaps together
– Identify the top 1–2 sources that appear most often
– Flag which expectation gaps required the most explanation or staff time

Ignore minor complaints. Focus only on expectations that required clarification, correction, or reassurance.”

What to Watch for This Week

When a guest mentions something that turns out not to be true, I’ll take two minutes to note what they expected and where that came from.

If you want to go a step further, update one line in your pre-arrival message about what’s different right now. Not a disclaimer, just useful information.
That’s not operations. That’s care made visible.

This Is Really About Trust

Hospitality starts long before arrival.
The moment a guest starts imagining their stay, reading a blog post, scanning a destination site, asking an AI what to expect, trust is already forming.

When that information’s wrong, you don’t just inherit a logistics problem. You inherit a crack in the relationship before you’ve even had a chance to earn it back.

The operators who do this well aren’t working longer hours. They’re choosing not to let broken systems eat away at what they’ve built.

Clarity helps your guests. It helps your staff. It protects your margins. And more than anything, it protects the belief that makes people come back.

I believe the best operators don’t just fill rooms. They protect the experience before a guest ever walks through the door.

This newsletter is for operators who don’t want to spend their time correcting bad information from the internet.

Run the 10-minute audit before your next check-in.

Hospitality wasn’t supposed to include fact-checking the internet.

Kay