Madrid, September 2026 · by Giacomo Esposito, The STR Engine
2019 to 2026. Seven years later, I walked into GuestyVal in Madrid and recognised more faces than I expected.
A lot has changed in that time. But seeing so many of the same people still there — still grinding, still building, still pushing Guesty beyond its own limits — is probably what stayed with me most.
For anyone who does not know: I am a former Guesty team member. So GuestyVal was never going to feel like just another conference for me. It felt like a reunion with a roadmap attached. And because I now sit on the other side of the table — advising property managers rather than selling them software — I listened differently this time.
This is what I heard, stripped of the event glow: the AI patterns the bigger property management companies are actually running, and the channel practices that separate the operators growing on Airbnb, Booking.com and Vrbo from the ones stalling on them.
The short version
GuestyVal Madrid 2026 confirmed two shifts. First, AI in short-term rental operations has moved past guest-chat demos into measured, escalation-governed workflows — including unglamorous back-office work like reconciliation and owner reporting. Second, channel strategy is being rebuilt around reliability signals and channel-specific content, rather than pushing one identical listing to Airbnb, Booking.com and Vrbo and hoping distribution does the work.
Table of Contents
What GuestyVal Madrid Actually Was
Guesty put together a seriously good event. Strong content, well-run sessions, a partner ecosystem that showed up properly — but honestly, it was the people who made it.
What I love about how GuestyVal has evolved is how international it has become. People flying in from all over the world, all with something in common: they are building businesses, solving the same operational problems, and looking for ways to get more out of Guesty and the wider partner ecosystem around it.
Madrid delivered. Three days that were part roadmap, part peer benchmarking, part reunion.
The AI Trends Top Property Managers Shared
The most useful AI conversations in Madrid were not on stage. They were in corridors, with people running real portfolios, comparing notes on what survived contact with guests.
1. First response is automated. Judgement is not.
The pattern that kept repeating: AI handles the first response on inbound guest messages, with explicit escalation rules for anything involving money, safety, a complaint, or a booking change. The operators who are happy with their setup are the ones who defined those rules deliberately. The ones who are frustrated let the tool decide.
2. The metrics got serious.
Nobody was bragging about "using AI" any more. They were quoting numbers: percentage of conversations resolved without a human, median first-response time, hours returned to the operations team each week. That is a healthy sign. It means AI is being managed like any other part of the operation.
3. The back office is quietly where the money is.
Guest messaging gets the headlines, but several of the larger companies are getting more value from applying AI to internal work: reconciling payouts, drafting owner statements and commentary, producing and translating listing content, and cleaning data between systems. Lower risk, invisible to guests, and it compounds.
4. Clean data is the real prerequisite.
Every operator with a working AI layer had one thing in common: their property data, house rules and check-in information were accurate and centralised. AI on top of messy data produces confident, fluent, wrong answers at scale. If your listing data is inconsistent across channels, fix that before you buy anything.
If you want the deeper version of this, I wrote about it in AI guest communication for short-term rentals.
Airbnb, Booking.com and Vrbo: The Best Practices That Came Up
The second recurring theme was distribution — and specifically, how differently the three major channels now need to be operated.
Airbnb: reliability is the ranking lever
Experienced operators described the same shift. Price competitiveness still matters, but the compounding advantage sits in reliability: not cancelling, responding fast, holding review consistency across a portfolio rather than carrying a few weak listings. Photo order and the first line of the title were repeatedly called out as the highest-leverage content edits nobody makes often enough.
Booking.com: treat it as its own operating model
The managers getting meaningful volume from Booking.com run it with its own content standards, rate plan structure and payment handling. Guest expectations differ, the cancellation profile differs, and the amenity and policy fields carry real weight in how you surface. Mirroring your Airbnb configuration and expecting Airbnb results is the most common reason operators write the channel off.
Vrbo: deliberate, not default
Vrbo came up mostly in the context of larger homes, family travel and longer lead times. Used deliberately for the right inventory, it performs. Used as an automatic third destination for every listing you own, it mostly adds noise.
And underneath all three: your own channel
The direct booking conversation has stopped being ideological. With OTA economics where they are, operators are treating direct as a margin and resilience play, and building it alongside the channels rather than instead of them. More on that in structuring distribution at 30+ properties.
The Ex-Guesty View: Configuration Decides Everything
Here is the thing I noticed that I do not think everyone in the room noticed, and it comes from having sat on the inside.
Two companies of almost identical size, in similar markets, on the same platform, described completely different realities. One was automating owner reporting and had their team focused on growth. The other was still exporting spreadsheets every month and blaming the software.
The difference is never the platform. It is automation design, permission structure, accounting setup, data hygiene and whether anyone owns the system internally. That gap is the single biggest unrealised return sitting inside most property management companies — and the reason I now spend most of my time on implementation and configuration work rather than software selection.
The People Part
I am already looking forward to picking up some of the conversations I started over those three days. And to everyone I did not get the chance to speak with — apologies. Hopefully next time.
A special thanks to Julian Lee and the GuestLee Hospitality Reinvented team. Sharing the event together made it a lot more enjoyable: good bonding time, plenty of ideas, and a lot of networking along the way.
And finally, congratulations to Roberto Bricio Koch and the whole Guesty team. You delivered one of the most memorable industry events of 2026.
Now I am curious to see where 2027 takes us.
Six Takeaways for STR Operators
Takeaway #1
AI has moved from demo to duty roster
The larger property management companies I spoke with are no longer asking whether AI can answer a guest. They are asking what percentage of first responses it handles unaided, what triggers a handover, and how many operations hours it gives back per week. If you cannot answer those three questions for your own stack, that is your next project.
Takeaway #2
The back office is where the quiet wins are
Guest messaging gets the attention, but the sharper operators are applying AI to reconciliation, owner reporting, listing copy and translation. Less visible, far less risky, and it compounds every single month.
Takeaway #3
Channel-specific content beats syndication
Pushing one identical listing to Airbnb, Booking.com and Vrbo is still the most common unforced error at scale. Each channel ranks and converts differently. Titles, photo order, amenity data and house rules should be tuned per channel, not cloned.
Takeaway #4
Cancellations and reviews are now ranking currency
Operator after operator described the same pattern: visibility is increasingly governed by reliability signals — cancellation rate, response behaviour, review consistency — not just competitive pricing. Protect those metrics the way you protect your ADR.
Takeaway #5
Booking.com deserves its own operating discipline
The managers getting real volume from Booking.com treat it as a separate operating model with its own content standards, rate plans and payment handling. The ones who are disappointed by it usually mirrored their Airbnb setup and hoped.
Takeaway #6
Your PMS configuration is a strategy, not a setup task
The gap between two companies on the same platform is almost never the platform. It is automations, permissions, accounting structure and data hygiene. Same tool, completely different outcomes.
Frequently Asked Questions
Giacomo "Jack" Esposito is the founder of The STR Engine and a former Guesty team member. He advises short-term rental operators on PMS configuration, distribution and revenue systems. Related reading: What a Guesty consultant does and Top STR events of 2026.
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