AI Search Is Binary, Your Hotel Appears or It Doesn't - Nick Slavin, Curacity [Sponsor Bonus]

Josiah: Nick, thanks for taking time to chat. We have a lot to get into in our recording today. I want our listeners to just get to know you a little bit, a little bit about the company. I wonder if you could share a little bit about your background before starting the company, and then tell us a little bit about what you do now, and that's gonna I think tee up the rest of our conversation.

Nick: Sure. So my background, I don't know how far back you want me to go, but I majored in both history and sculpture in college. Two things that really don't lead to much, unless you wanna become a professor afterward. So I decided to go into investment banking right afterward, just jump right into finance. Did that for a little while, then went over to Starwood Capital Group, Barry Sternlicht's real estate private equity shop. And I was there for about four years as a portfolio manager. So I kind of straddled acquisitions and asset management. And I ended up managing one of our later-stage opportunity funds called SOF VIII, which was a four-ish billion-dollar fund dedicated to acquiring all different types of real estate assets.

So we did multi-resi, distressed debt, and hotels. And I found hotel investing to be a lot more satisfying for my soul than distressed-debt deals, even though those deals typically made us more money. I digressed a little bit. So with hotel investing, as part of my portfolio, I had the Baccarat Hotel in Midtown Manhattan, and I had the 1 Hotel South Beach and the 1 Hotel Central Park.

And so I worked pretty closely with the acquisition managers and the asset managers who later managed those specific properties. I don't know if you've ever been to the Baccarat. It is an...

Josiah: It's beautiful.

Nick: It's an amazing property and kind of the first of its kind for that space in Manhattan. And it also has an incredible brand history and narrative, right? One of the first hospitality assets to come out of Baccarat, the crystal manufacturing company who has been manufacturing French crystalware for 250 years and the French crystalware gilded the dinner tables of every French state dinner since Napoleon's time. So you'd be sitting there on that beautiful second-floor lobby having a martini that was served out of Baccarat crystalware that is very similar to the martini glass that perhaps Napoleon Bonaparte would have been drinking out of in the 1800s.

So just really wonderful historical resonance there. And we knew that telling that story, kind of linking that history to this new thousand-dollar-a-night hotel, and then this was $1,000 a night, you know, 14 years ago, so it's quite a high ADR. We knew that would drive really creative conversion, and we'd find the right guest at the right time. They would be really excited to stay there because they had the narrative history that came up with the Baccarat.

And effectively, if you're a guest that's more excited to stay in a hotel, you likely spend more on premise. You spend more on the spa, you spend more on that beautiful second-floor martini bar, you spend more at the restaurant. And so this was a case for real scaled marketing spend. And that was kind of my first foray into how challenged hoteliers were when it came to spending big money in marketing. Marketing back then was not understood as a distribution channel. Still is not really understood as a distribution channel. In my view, it should be understood as a revenue and profit center, not a cost center.

And so what did we do? We definitely invested in marketing, but not nearly at the levels that we wanted to. And instead, we were forced to leverage other types of distribution strategies like the Booking.coms and the Expedias of the world, which, for an asset like the Baccarat pricing at $1,000 a night back then, it's not necessarily the best move, right? Expedia and Booking, they're brand deleterious for an asset like that. They don't craft the right story. They obfuscate customer data at all costs, and the likelihood that someone discovers the Baccarat on Expedia or Booking is very low. The likelihood that they discover that hotel elsewhere on really wonderful media brands or through word of mouth is very high.

And then Expedia and Booking, they come in and they cannibalize demand that was created elsewhere and still charge a 20% commission. So anyway, long story short, that was my first foray into how challenged hoteliers were when it came to investing at scale in marketing, and I saw how simple it was for them to invest in lower funnel strategies, in traditional distribution channels like the Bookings and the Expedias of the world.

So I then left and started Curacity with the mission of how do we help, how do we give hotels the confidence that they need to properly invest in scaled marketing? How do we help connect the right data sets to empower hoteliers to treat marketing like a profit center, like a distribution channel?

Josiah: Amazing. I am excited to get into this with you, Nick, because that experience with Starwood Capital is really helpful. I've talked a lot on the show recently around the pressure that owners face. I talk a lot about the operational considerations, how do you drive profitability, but driving that top line, driving demand, driving willingness to pay is sort of where it all starts, right? There's two sides of a coin. You gotta do both, but I wanna focus our conversation today on that top line, driving demand, driving guests to your properties that are willing to pay and willing to pay more, and doing that by creating demand, because everything that you've described is really important to know, and also we have this dynamic unfolding that discovery is rapidly changing.

I would love to get your perspective on this. We think about the introduction of discovery by large language models and how that's factoring into the travel planning process as well. What are you seeing unfold there on top of everything that you've said that's maybe a new dimension of this?

Nick: So you said the discovery landscape is shifting. I've never seen anything shift as quickly as discovery is, not just for hotels, just in general. And it's really exciting. It's also very challenging for a founder and a technology CEO to build into unless you're building the LLMs themselves. But it's been a very, very fun journey for the last... I've been running Curacity now for 11 years, and it's been extremely exciting over the last two as AI search and distribution kind of completely upends the way that our industry needs to think about customer acquisition. So here's how I think about it.

I think of discovery in two ways. There are two fundamental types of surfaces. So you've got information or inspiration-based surfaces where you're being presented with information that you're not explicitly searching for. So think email, think various social media platforms where information is being pushed to you, and you're getting inspired that way and you're discovering new things that way.

Those surfaces aren't changing nearly as dramatically as the other type of search and discovery interface, which is traditional search. So think Bing, think Google. That is being upended entirely. So this is where, when you're on Google search, there's an existing kernel of intent, right? And you go looking for more information. So traditional search is being entirely disrupted. And the biggest point of disruption when it comes to our industry is that AI search fundamentally operates very differently than traditional search. Traditional search is ranked, meaning even if you suck at Google SEO, you're gonna appear, maybe you appear on page two or three or four, or God forbid, 10, but you're gonna appear.

AI search is binary. You appear or you don't appear. The stakes are higher.

Josiah: Stakes are a lot higher.

Nick: Yeah.

Josiah: They're a lot higher.

Nick: But this is also an incredibly exciting opportunity for hoteliers who've been stuck and who've been combating the OTAs for two decades. This is a moment where they can really dig in and take back market share.

Josiah: It's so interesting. I don't know if you have any specific data points that sort of underscore the shift. I was at an industry conference a couple months ago and I think Focusrite had some data. So just looking quarter over quarter, and I can't remember the exact number, but it was a massive shift in terms of some of the elements that you've mentioned in terms of people turning to LLMs, in terms of visibility for companies. Is there any data points that you've seen that might help our listeners and viewers kind of understand this shift a little bit?

Nick: Yeah. Data's really helpful and we can get into specifics, but also just look at the sheer number of human beings using AI search today versus the number of human beings using AI search two years ago when it was effectively zero.

This is the new search frontier. We really started to see this shift back when Google launched AI Overviews in May 2024, and you started to see this kind of cemented the rise of what the industry has dubbed the zero click search. These AI synthesized answers are so good that you no longer need to continue searching around and clicking Google blue links.

It was kind of a brilliant move of self-disruption. Gone are the days of blue links entirely. Google disrupted itself so it wouldn't become the next Kodak. So we really started to see this in the data because for the last decade or so, we've built this really wonderful network of some of the world's best digital media brands like brands across Conde Nast's portfolio, brands across People Inc.'s portfolio. They have Travel and Leisure, Food and Wine, et cetera. We work with Forbes, Afar, Fortune, 60 plus other of the world's most preeminent digital media brands. And we heard their plight. We heard their cries. We saw their ad revenue that used to come from clicks just decline precipitously. And when I say precipitously, I mean 70, 80, 90% seemingly overnight.

And all of that ad decline is due entirely to the erosion of clicks because people are no longer searching in Google and clicking the blue links. They're getting really wonderful AI synthesized answers. So maybe that's the most succinct, concise way to show it. Ad revenues have declined 85, 90% for digital media brands.

Josiah: Right, because it's so correlated, right? People are just behaving differently and then you see the traffic drop and you see the revenues drop in relationship to that. I think it is interesting to look at Google's use of AI and as you said, they're constantly pushing more and more of this into the experience that you have. So even if you're not intentionally going to interact with Gemini, for example, more and more this just becomes part of how you're Googling, kind of interacting with their LLMs. And then there's all the other different offerings out there. I wanna talk a little bit about this structural shift a bit more because it feels like it's so pervasive in terms of how hotel industry participants need to think about engaging in this.

And Skift actually had a recent article about this, I'll link in the show notes where Colin Nagy was explaining a little bit of how this new world actually works. And I wonder if you could share from your perspective, what does it take to rank well or to be discovered in this more LLM, AI-powered world where more and more people are using AI technology as part of their discovery or planning process?

Nick: What does it take to rank well? That's the...

Josiah: A rank well that's kind of like old, old marketing. What does it take to show up well? Because I think Colin was making the point in the Skift piece, it's like reputation matters more than ever. And I'm curious if this is kind of what you're seeing as well in your business.

Nick: Yeah. Here are some kind of terrifying facts right now. So first of all, your shift in language, it was awesome to see real time because this is the pace with which the industry is moving. Ranking well, it's just not even the right language anymore. It's just appearing. And obviously when you appear, there will be a ranking, but now it's a ranking of like five options.

You're not gonna get the 50, 60, 70 that you would have otherwise. So how do you appear first and foremost and then rank amongst that much smaller consideration set? The answer to that is twofold. The first piece is it's shifting. The way that you show up is shifting. These models are still being built real time.

You probably just saw that ChatGPT entirely changed the way that it's running its ad inventory. And you also probably saw that ChatGPT just announced an $8 a month subscription tier and they believe that 80% of the users that are currently on the $20 a month tier are gonna convert to the $8 a month tier.

How does that make economic sense? It makes economic sense when you think about turning your platform into the next massive advertising ecosystem. So they're gonna combat that $20 to $8 a month drop across 80% of their user base by supporting it with a lot of ad inventory. And you better believe that as they do that, the way that search and targeting and visibility and ranking happens, it'll shift.

So point one is that it's being transformed and evolved and it's shifting real time right under our feet. So there's no definitive answer that I can give you right now that I guaranteed will be the same answer a year from now. Point two is that there are some fundamental and structural things that hotels should be cognizant of.

And actually these are things that probably won't change a year from now. So first of all, the large language models love data. They love data, they love information. So the more data and the more information that exists in surfaceable places, the better. When I say surfaceable, I mean that data needs to be able to be crawled, so that data needs to be structured properly.

There are so many hotels that lack structured data. 94% lack the structured data that is required to be visible on these AI search platforms. Let me just sit with that for a sec. 94%. It's outrageous.

Josiah: It's crazy.

Nick: Outrageous. Only 25% of AI Overviews and synthesized answers on AI Overviews pull from a hotel's own website.

Josiah: Wow.

Nick: So to answer your question really concisely, you need a lot of data and a lot of information. That data needs to be structured properly, and that data needs to come from authoritative sources.

Josiah: It starts with the website, but it's not just you, right?

Nick: But what we've seen, we launched a product called Vista AI just two months ago, and it's our solution on how you get your property to appear, to be made visible within the eyes of the LLMs and appear on AI search.

What we found is that when you get cited in a third party authoritative source like a media brand, for example, the number of AI visibility signals that the LLMs pull from for that article range from 10 to 100X what you'd get from your own website.

Josiah: Wow. That's crazy.

Nick: A lot of data structured well and authoritative third party sources.

Josiah: It's a great framework and I'm thinking back to what you mentioned in the beginning of our conversation. It feels like sort of a winner take all, or kind of just a couple will be winners versus there is more visibility for more participants in the past. And so it feels like there's more of this binary, some of the ones that do really well here get a disproportionate amount of visibility, which also feels like there's kind of maybe a compounding loop here where more visibility in AI drives more traffic, more bookings, maybe more media attention, which could build this virtuous cycle of even more media coverage, leading to more AI visibility.

Do you think there's an opportunity to build a bit of a flywheel by doing this?

Nick: Absolutely. I think there's a huge opportunity for that flywheel to be built. And by the way, that flywheel is not unique to this moment in time. That flywheel has always existed, right? You build a really wonderful property, people come, media brands pick it up, people leave really wonderful reviews, the review sites pick it up, you rank more highly organically on those review sites, more people see it organically, they come.

So there is a compounding loop that has existed long before AI search became a term that we use. So the compounding loop that worked for the days of Google SEO will still work for the days of AI search. I think the reason that so many people are as excited about that compounding loop today is that it's anyone's game right now.

Tabula rasa, blank slate. If you jump on this now, there are real first mover advantages, and we're seeing those first mover advantages for the customers that we have on our platform.

Josiah: Tell me a little bit about that. I wonder if there's a story of a customer that you can share where they're moving on this and they're starting to see the results of it.

Nick: Yeah. So I'll give you one hotel. It's actually one of my favorite hotels to stay in, in London. It's called the Broadwick Soho, independent hotel. Really, really beautiful spot, kind of maximalist design. They have this incredible bar on one of the upper floors called Flute. Every single detail has been thought about.

There's a Francis Bacon triptych in the lobby. They make use of this blue chip art on the wall. Every linen is custom. All the armoires are custom. There are woods and silks everywhere. It's just a really wonderful, thoughtful hotel built by someone who clearly loves hotels. So an incredible asset.

This is something that deserves to be discovered in AI search. You search "unique property, unique five star luxurious property in London," this should come up. You search "really wonderful martini in Central London at a hotel," this should come up. You search "beautiful hotel breakfast," this should come up.

The problem is it didn't come up at all. So we launched, they're actually one of our proof of concept customers from back in the day, back four or so months ago. So it's been running for about four months now. And when they launched with us, we ran some analyses and we saw that their AI visibility stood at 14.9%.

So how do you calculate AI visibility? Essentially, you run generic queries across all of the LLMs, like "best hotel to stay in in London," generic. So it was a little more specific than that. It was like "best boutique luxury hotel to stay in in London." And you see how many times it appears.

Methodology's not very complicated, the analysis is not very complicated, and then you just run that analysis a number of times, and you see, you count the number of times that it shows up in one of the synthesized answers. And the answer to that is 14.9%. That's not very often. And then you start running more specific queries like "five star hotel in Central London with thousand thread count linens," really specific queries, and you start to see how often these are things that the hotel should be, is known for and should rank highly for in AI search, and then you start to tabulate those numbers.

And when you compare the very specific queries and how often a hotel shows up in those with the more generalized queries and how often the hotel shows up there, it blends to that 14.9%. So they come onto Vista and we do a couple of things. We help them structure their hotel data so that the LLMs could read it.

And then we also took a lot of the content that we got created for them as part of our Vista Core solution that's our primary email-based distribution platform. We structured it in a way that allowed it to be LLM readable. We went live, so we onboarded them four months ago. Vista AI fully went live about 90 days ago.

So this is still brand new. We increased their visibility from 14.9% to 27%. So it's an absolute percentage point jump of like 12 points, but 81% overall.

Josiah: Wow.

Nick: Just a three-month period. And just like SEO, this stuff compounds and is made more impactful over time. So I expect this to increase significantly more if we're having this conversation 90 days from now.

Josiah: I appreciate you going into the detail on that because as a guest, you ran through a number of things where you said this hotel should be getting visibility for these things, right? And you think about our listeners, they know their hotels so well, what they should be. I think everyone listening and watching us is going to know what their hotel, what their property should be ranking for.

It's the investment into the property, the experience, all of this kind of stuff. And that level of detail is so important to optimize for because I think these LLMs become very, very specific because they know each person that's using them, their background, their preferences. And so it's a whole different level of detail that you need, and this is where you can win.

And so I appreciate you going through that. I'm also just thinking about this virtuous cycle we were talking about a moment ago. I think this is why I love the hotel industry because everything is so interconnected, not just in the visibility loop, but you're getting into this a bit of positive reviews, and I think there's a direct connection to operations, and this is where it becomes really fascinating.

I think for not just the commercial leaders listening to us, but the operations leaders as well where the way you communicate and get visibility and attract guests is going to shape the level of satisfaction those guests have, right? Because if you think about all those things that you mentioned for this hotel that they do well, if people that care a lot about this are then discovering the hotel and staying at the hotel, they're much more likely to be happy, right, because the hotel crushes it in that area.

So I think there's a very virtuous cycle operationally too.

Nick: And they're also much more likely to spend more on premise. They're more excited.

Josiah: It's huge.

Nick: So you're gonna drive a more excited guest who likely spends more on rooms, likely stays longer, and likely eats at your restaurant and drinks drinks at your bar and gets a massage at your spa instead of going off property because they just got brought in by a much more brand accretive channel.

Josiah: It's so important. So this is much more than a marketing play. It is part of your marketing, part of your commercial strategy, but this is a way that you attract guests that are gonna be happy, and it's a P&L play, it's a profitability play. And I think that's important for people to recognize. I wanna kind of bring this home with some practical advice for people that are listening to us.

You walked through some of the steps. I wonder kind of if there's any other advice you'd have on where people can get started. People say, "Hey, this is great. I want this outcome." What are the general steps you advise hotels to think about? And then I wanna get into some of the offerings that you have and how you're able to help, but just high level, where do people begin to engage and show up well in this new world?

Nick: Yeah. So I think first of all, I've led a few panels at recent conferences, and it's very clear there's a stratification amongst hoteliers. Some who are all over this stuff and they're investing heavily in it and others who are, for lack of a better term, sticking their head in the sand and thinking that this is just a phase.

It's part of a trend. This is not gonna have longitudinal downstream effects on my business. It will. If there's one thing that listeners can take from this is that this is a transformative moment, and if you don't participate in it, you will get left behind, period, full stop. If you do decide to participate in it, you have the opportunity to drive really wonderful returns, more revenue, more profit, happier guests.

You can compete against the Hiltons, Hyatts, Marriotts of the world if you're an independent property, you could take market share back from the OTAs. This is a big moment. So what are some practical things to do? First, run an audit on your property, right? How are you appearing in AI search? The really low cost, simple way to do this is just run some generic searches on your hotel to see if you appear across all the platforms, do that every day over the period of a week long period.

Then run some more specific queries on things that you know you want your hotel to be known for. Do that across all of the AI search platforms over the period of a week and count the number of times you appear. That's one way to do it. Vista AI, our solution, also runs an audit for you, super simple, lightweight, we're happy to help.

And then once you run that audit and you've got a good baseline, the way that you affect visibility is take a look at your website. If the data is not structured properly, you're not gonna show. Some really simple adjustments. At the very least, make sure your website's crawlable, make sure you're not blocking these AI crawlers, which a lot of hotel websites, funny enough, do.

It's the antithesis of what you want to be doing is blocking AI crawlers. Let them crawl, let them hang out. That's one. Two is ensure that the content that is out there is rich. LLMs don't want generic information. LLMs want information that allows them to answer questions like, let's say that you're a new mom, and you're going on a vacation with your baby in Mexico, and you want to know that the wifi reaches the beach because your baby is gonna be asleep in your hotel room, and you wanna bring the baby monitor to the beach with you as you let your child sleep.

There needs to be rich enough content where the LLM can synthesize an answer and tell you definitively that, yes, you can take your baby monitor to the beach while your baby sleeps soundly in your room back at the hotel. So that's the level of information density that I'm talking about. So very practically, let's say you've got a lot of photography or videography on your website, make sure it's labeled, make sure your FAQ sections are really built out.

If you have 10 FAQs, go write another 150 of them so that you answer the mom, baby kind of question. And then most critically, and yes, this is a bit self-serving, but we see the citation lift and the sentiment lift from third party authoritative sources just jump dramatically, between 10 and 100X the number of visibility signals on a third party authoritative editorial source as on your own website.

So whatever you can do, get the media and other reviews and other platform sites like that to talk about your property and to ensure that that data too is structured properly.

Josiah: So Nick, just on this, I think you have a business that provides solutions here, but from my third party perspective, I've spent my whole career in marketing and I do this a lot in a lot of different contexts, but this is so important. This is absolutely true. So I think for everybody listening, you have to be all over this. I wonder if we could talk a little bit about Vista. Vista launched in February 2026. Tell us a little bit about the offering. It has different components. How can those listening to us benefit from some of these new offerings?

Nick: So for those of your listeners who aren't really familiar with Curacity, Curacity is distribution infrastructure for all of hospitality. We do hotels, resorts, cruises, short-term rentals, DMOs, CVBs, kind of up and down the travel ecosystem, with the exception of airlines. And our Vista Core solution is a distribution channel that enables hoteliers to monetize our network of media brands via email specifically.

So emails at scale get created by our network of media brands. And we have an ML AI based attribution solution that sits in the middle, measuring and monetizing the prospective guests that engage with content about your hotel from our media brands, and then actually book a room at that property at some point downstream.

And we do that by plugging into the property management system and the backend systems that all of our digital media brands utilize in order to run our PII to PII based attribution. So it's deterministic attribution. We can go really deep there, but we'll save that for another time. So that's Vista Core.

Vista Core is an email based distribution platform for the hospitality ecosystem. So Vista AI was a very logical extension of that. We move our expertise from email as our primary surface into web as our primary surface, because web based articles are crawlable by the LLMs. And that's what bleeds in long term to ensuring that your hotel is visible across all of the AI search platforms.

So Vista AI is two things. One is a platform that lets you understand how your hotel is currently appearing across all of the various AI search platforms. So we look at, as I was saying before, generalized queries. Generally, how are you showing up? We look at very specific queries. If you, the hotel, wanna be known as having wifi that extends to the beach so you can leave your baby back in the room.

And that's a query that you wanna rank highly for. Vista AI will allow you to measure your visibility for that specific query. Then it sums it all up into an overall visibility score. And then you can go really deep. We run through citation analysis. Why are you showing up where you're showing up?

What are the specific citations attributed to specific sources? Maybe that source is Reddit, maybe it's Wikipedia, maybe it's Conde Nast Traveler, maybe it's your own website. Maybe it's Expedia and Booking.com. Regardless of what those sources are, we tell you how those citations and those visibility signals are showing up.

And then we haven't talked about this yet, but this is one of the most interesting things that I'm uncovering as we're building. It's not just about visibility. It's also about visibility with the right positioning. There are so many hotels where the LLMs, because there's crappy underlying data, they're just pulling bad information.

And so if you're a five-star hotel, you might be showing up to the LLM as a three-star hotel. And if you're showing up on the LLM as a three-star hotel, you're showing up to that prospective consumer as a three-star hotel. And that is a dynamic that you do not want. Over 60% of the hotels that we work with have a positioning problem.

And so we'll give you the insights and the analytics to understand whether the way you're positioning your property is actually how the LLMs are positioning it. And it varies significantly LLM to LLM. What Claude pulls up many times can be very different than what ChatGPT pulls up because the underlying sources that they're pulling from are very different.

So I talked a lot about Vista AI being this measurement insights analytics platform, which it is. The even more powerful component that I didn't yet reference is the fact that, okay, so what? Right? Vista AI uncovers the fact that you're not appearing for the queries you want to appear for. So what?

What do you do about it? We then work with our massive database of network publications in order to get web-based content created about your property. And all of that content has data that is structured to be LLM visible. So now we get that content created, that's the new distribution channel. Web is our new surface that affects your visibility within AI.

We then suck that back into the Vista AI measurement and analytics platform, and we show you how that specific piece of content drives enhanced visibility across all the queries that you are excited to increase visibility for. So that's Vista AI.

Josiah: This stuff is so important, Nick. And I think we've talked about this from a few different angles, but this is a real crossroads where I think hotel owners, operators, people involved in the ecosystem really need to take this seriously.

I think there's the big dynamic unfolding, kind of as OTAs were taking over more and more distribution. We have kind of like everything's up in the air again, right? So this is a moment where smart owners and operators are able to make the right investments and get the right visibility, but the stakes are really high.

I think they're higher now than they were in some of the previous shifts that have unfolded. And so if you wanna be showing up, showing up well, showing up accurately, you gotta be working with Nick and the team at Curacity to make sure you do this right, right? I'd love to close, Nick, by, let's fast forward here. We've talked about some of these trends unfolding. I'm curious, where do you see some of this going? Do you anticipate all these trends just accelerate? What are you watching or anticipate gonna be unfolding in the months ahead?

Nick: The thing that I'm really excited about is the battle between apps and ads. And you see this bifurcation amongst the two biggest players. ChatGPT is really going deep on its advertising inventory. They just announced, which is a great move, they went from cost per view to cost per click, which now allows them to compete in the same space as Google search ads and Meta advertising inventory.

You see Claude kind of moving more towards the app ecosystem. ChatGPT's not moving fully away from the app ecosystem. Hilton just announced that it's launching its own app in partnership with ChatGPT earlier this morning. So it'll be a really interesting thing and dynamic to see unfold over the next year, which wins out, the app or the ads, or maybe both.

Josiah: Yeah. Amazing. I'm gonna include a bunch of links in the show notes. Nick, I feel like you have so many resources where people can learn more about this. We've covered so much in our conversation. Is there any specific resource or thing you would encourage our listeners who wanna learn a little bit more, get in touch with you? Where would you point folks?

Nick: Curacity.com is a great place to start. We have a really wonderful team of humans who will pick up the phone and talk to you. There is still a lot of humanity that is very, very, very important in this fast moving world. So a lot of wonderful teammates that'll chat with any hoteliers that are interested.

I think one important thing to include is we just published research with Cornell that looks at AI search trends and how those stratify based on consumer segment. That would be a really interesting resource to include.

Josiah: Awesome. We'll include a link in the show notes, but Nick, thanks for chatting today and walking through all of this with us. What an exciting time and exciting opportunities.

Nick: Thank you. It was fun.