I knew at some point I would be writing about how AI is changing the hotel and travel commercial optimization world. Again. Why again? Because history is repeating itself.
When I think about what’s happening in hotel and travel marketing right now, it reminds me of Gabriel García Márquez’s One Hundred Years of Solitude. (In my opinion, one of the best books ever written. I highly recommend it.) Here’s a short summary of the book, so you can get a feel for what I’m trying to share.
In García Márquez’s masterpiece, the Buendía family spends a century repeating the same mistakes. Generation after generation, men named José Arcadio chase the same obsessions and make the same catastrophic choices; at the same time, they are convinced that they are doing something entirely new. The fictional town of Macondo rises, flourishes, and crumbles. At the very end, the last surviving Buendía finally deciphers the ancient manuscripts that predicted it all. The tragedy was not that their fate occured. It was fact that it was avoidable.
Likewise, we have all been at this technological crossroad before. The technology is different, but the fundamental challenge is identical. A new system has arrived that will quickly dominate the way travelers research and discover hotels. The system runs on information. Hotels that feed it the right information in the right format will get recommended. Hotels that don’t will be lost.
Folks, we already did this with Google in the late 1990s and early 2000s. The manuscripts are there (just scroll back to my older blog posts). We just need to read them.
September 4, 1998
In 1998, the internet was new and chaotic, and nobody in hospitality knew what to do with it. Hotels had websites (if you could call them that): static pages with a phone number, and maybe a jpeg of the lobby that took two minutes to load on a dial-up connection. The idea that a traveler might book a room through a website seemed absurd… that’s what travel agents were for!
Then came Google. And everything changed.
Suddenly there was a system, and an all-encompassing algorithm that provided a bridge (or a barrier) between the hotel and the traveler. The algorithm didn’t care how beautiful your printed brochure was, how many years you’d been in business, or what your general manager thought about your property’s reputation. It read your website. It counted your words. It looked at your structure, your links, your load speed, your metadata. And based on what it found, it decided whether or not to send travelers your way.
The hotel commercial optimization professionals who grasped this early did something that felt deeply counterintuitive at the time: they started writing for a machine! They optimized page titles and header tags. They built content around the specific phrases travelers were typing into search boxes. They structured their websites not just to look good to human eyes, but to be readable, “crawlable” and “rankable” by digital spiders that had never stayed in a hotel and never would.
What about the hotels that ignored it? They still received bookings from offline channels and online travel agencies (OTAs). OTAs have always been the largest investors in technology, as they do not have any real assets to maintain and pay for. The hotels that thrived were the ones who were willing to take the leap and join the new world.
The Banana Company Arrives… Again
In One Hundred Years of Solitude, the banana company arrives in Macondo with promises of prosperity and modernity. It transforms the town, bringing electricity, railways, and a new kind of commerce. It also reshapes everything around its own needs, on its own terms, whether Macondo is ready or not.
The AI revolution in hotels and travel feels a lot like that arrival. ChatGPT launched to the public in November 2022. Within months, millions of people were using it to plan trips. By 2024, Google had integrated AI Overviews into its search results. That means that for many hotel-related queries on Google, Gemini is generating the answer directly on the results page. Perplexity, Microsoft Copilot, and Gemini are all training on existing web content and delivering hotel recommendations with confident, authoritative directness.
Traveler behavior reinforces this story. Fewer clicks, more answers. Less browsing, more asking AI. The question has shifted from “hotels in Barcelona” to “find me the best design hotel in Barcelona’s Gothic Quarter for a solo traveler who wants walkability and a rooftop bar.” That’s not a simple search query…that’s a conversation. And AI answers it in one response.
The discovery moment has moved. It now happens inside an AI conversation, not on a search results page. The hotels that show up in that conversation are the ones that have given AI what it needs to understand them.
Sound familiar? It should.
The Patterns Are Already in the Manuscripts
The Buendías didn’t see what was happening, even though the answers were right under their noses. Melquíades left manuscripts in the house that contained the entire history of the Buendía family: every birth, every death, every mistake. The tragedy was that nobody translated them until it was too late.
The secrets of technology-driven optimization for hospitality and travel are similarly well-documented if you know where to look. The same pattern has played out three times now with increasing speed.
Wave One: The Website (Late 1990s)
Hotels had to build a digital presence from scratch. The challenge was digital existence: getting online, making information available by creating a basic web infrastructure. The winners were the early adopters who took the medium seriously before their competitors did.
Wave Two: Search Engine Optimization/Paid Marketing (Early 2000s–2010s)
Having a website was no longer enough. It had to be findable. The challenge shifted to figuring out how to structure your hotel’s online content so that Google’s crawlers would read it, rank it, and serve it to travelers at the right moment. This is when keywords, metadata, page structure, and link building became core marketing disciplines for hotels (otherwise known as search engine marketing). When that was not enough, Google Ads (paid media) provided a new superhighway to success; the smartest hotels participated in both organic and paid marketing efforts to maximize their exposure and revenue.
Wave Three: AI Optimization (Now)
Being findable on Google today isn’t enough. Now you have to be intelligible to AI. The challenge has shifted again, only this time to extractability. AI systems need to read your website and understand it with precision: what you offer, where you are, who you serve, and why someone should choose you. The hotels that crack this code will be the ones AI recommends. The rest will be invisible in the new discovery moment.
Each wave has required writing for a new kind of reader. In 1999, that reader was a human with a modem. In 2005, it was a search crawler (GoogleBot). In 2025, it is a large language model, agentic AI.
The fundamentals of each wave are strikingly similar. Be present, be structured, and be specific. Give the system what it needs to understand you. Don’t hide important information in formats the system can’t read. In my experience, the hotels that struggle in each new wave are almost always ones who built beautifully for the previous wave and then forgot to adapt.
What AI Is Actually Reading — And What It Can’t
To optimize for AI the way previous generations optimized for Google, you have to understand how AI reads. Simple answer: it reads like a very thorough, very literal research assistant who has never visited your hotel and has no patience for poetry, adjective-heavy word salads, or “good vibes” content.
AI training bots (GPTBot, Google’s Gemini crawlers, etc) scrape the open web and ingest text. They build their understanding of your hotel from whatever text they can find: your website, your press coverage, your reviews, mentions on travel blogs, OTA listings, social media posts. They assemble a picture of your property from all of it, based on what they can actually read and process.
Here is what they cannot process (yet):
- Images without text descriptions
- Videos without transcripts
- Text that only appears after a JavaScript interaction
- Information locked inside PDFs or interactive widgets
If your hotel’s most compelling selling points live in a drone video on your homepage with no accompanying text, AI doesn’t know about them.
I am old enough to remember that hotels had a similar issue with early search engines. Google couldn’t read Flash or index images. Hotels that built their entire websites in Flash (and many did) were effectively invisible to search. All hotels over time fixed that. Now, all hotels will need to adapt to the AI equivalent.
Hotel content is moving from the traditional keyword stuffing festival to AI-friendly, very specific and factual content written in plain language. We are going to move away from content such as “nestled in the vibrant heart of the city” to “located at 45 Park Lane, a four-minute walk from Hyde Park and eight minutes from the nearest Tube station.” In Food and Beverage, we will move from “an unparalleled dining experience” to “our restaurant serves modern European cuisine and is open for breakfast, lunch, and dinner, 6am -10pm, with a dedicated tasting menu available Tuesday through Saturday.”
Time to get my quote in:
“Adjectives don’t train AI. It feasts on facts.”- Vikram Singh
The Ghost in the Machine: Agentic AI Age
Even as I write this, I can see a wave of technology that goes beyond anything we have seen to date. This is where hotel owners need to pay very close attention, because it will change not just how travelers find hotels, but also how they will interact with them in the very near future.
An AI agent is not a search engine or a chatbot. It is a system that takes instructions from a human and then acts in the world to fulfill them autonomously and across multiple steps using real tools. An AI agent can browse the web, fill out forms, send emails, make reservations, and complete transactions. It operates a virtual browser with a virtual keyboard and mouse, navigating websites the way a human would, except faster, more literally, and without the patience to decode ambiguous interfaces, scrolls and images.
The implications for hotels and travel are profound. Right now, a traveler might ask an AI: “Find me a four-star hotel in Lisbon available the week of June 15, with a rooftop pool and breakfast included, and book the best value option under 300 Euros a night.” The current generation of AI assistants would research and present options for the person to book. The next generation will research it and complete the booking… if your website’s booking engine is navigable by an automated agent. Otherwise, they will find another hotel, or another way to book that may include fees for your hotel.
The travel agent visiting your website on behalf of a future guest is not human. It will not respond to atmosphere or beautiful photography. It is looking for machine-readable information + functional booking path. If it encounters a JavaScript-heavy booking widget that requires cookies, a hover menu that doesn’t render without a mouse, or a rates page that loads dynamically…game over. It will not send you an email. It may simply move on to the next comparable property.
Early agentic systems are already operating. The infrastructure is being built at warp speed. The hotels that have clean, structured, machine-readable websites with clear booking paths will have a natural advantage when agentic AI goes mainstream. The ones that built elaborate interactive experiences for the human eye may find themselves bypassed entirely.
In the fictional town of Macondo, those with the most elaborate houses were were often the ones least prepared when the world changed around them. Stay nimble, move fast.
Optimization Is a Permanent Discipline
After almost 30 years of working in commercial optimization, I am reading and learning even more today than when I started. There is no final destination in this business. Hotel revenue optimization is a permanent discipline that requires ongoing study, as things are always in flux.
In García Márquez’s novel, Macondo’s decline wasn’t inevitable. It was chosen, one small failure to adapt at a time. Hotel commercial optimization has its own version of this danger.
Every wave of optimization has been about the same thing: giving the gatekeeper system what it needs to understand and recommend you. In 2000, that gatekeeper was a search engine ranking algorithm. In 2025, it is a large language model. In 2030, it will be something else we can’t yet fully describe.
Hotels that thrive over time share a common orientation: they take the new mediums seriously. They don’t wait for the technology to become mainstream before they adapt. They read the manuscripts early.
Conclusion
At the end of One Hundred Years of Solitude, the last Buendía finally deciphers Melquíades’ manuscripts. But we are not at the end of our story. Hotel marketers are holding the manuscripts right now. The pattern of technology-driven optimization is recognizable. We know how this wave works because we have watched previous waves. We know that AI is transforming travel discovery because the traveler behavior data is already showing it. We know that agentic AI is coming, because the infrastructure is being built in plain sight.
The question is not how AI will reshape how hotels are found and booked. The question is whether your hotel will continue to rise to the occasion, one wave after another.
The important lesson here is to always be present and paying attention. To quote the legend himself:
“It’s enough for me to be sure that you and I exist at this moment.” — Gabriel García Márquez


















