With the new year fast approaching, we return to a news piece that first broke in July 2017. Various news and VRM-centric outlets were reporting on Google’s intentions to enter the vacation rental market. VRMintel included an insider quote stating a wide-release was likely coming in 2018. So what was it and where is it now? And, more importantly, how will it affect us?
Google’s VR Plans
Google’s approach into the VR market will seek to make it easier for users to find and book vacation rentals through a familiar meta-search interface. The system is currently already in place for traditional hotels.
If a user were to search for “hotels in Detroit”, they would be presented with a listing widget embedded in the results. It includes a map, pricing, and hotel listings with images. Essentially, it looks and functions like any hotel booking website.
Google is currently beta-testing a filter option that will display vacation rentals instead of traditional hotels. Their testing is live in various regions outside of the US. For example, if one were to visit google.co.uk and perform a search for “hotels in Paris”, they’d be able to test this new feature out.
To save you a few clicks, we’ll show you how it works now.
Google VR Listing in Action
Performing a search in one of Google’s test regions for “hotels in [x]” will present you with a modified version of the hotel meta-search widget. At first look, it’ll be quite familiar.


The beta version includes listings from a few sites – Booking.com, PriceLine, Hotels.com, etc. The complete version will undoubtedly aggregate the remaining major listing sites.
What Will Google’s VR Venture Mean for Owners & Managers?
Even though the beta version isn’t complete, we can make a few educated guesses based on Google’s past market leveling projects. Here’s some possible outcomes:
- More potential guests are introduced to vacation rentals. This is a given, being that Google is an ubiquitous authority on the web.
- Popular listing sites will adjust booking fees to compete for Google users. Google is stripping the listings down bare data, throwing away any extraneous features or functions from the sites they’re drawn from. The only prominent competitive factor to work with is the price. Since the most common reason for price variation between listing sites is compensation for booking fees…you get it.
- MORE DIRECT BOOKINGS. Google has (thankfully) included owner-run vacation rental sites in their listing aggregation. That means owners with booking engines will have the perfect opportunity to reel users to their sites for the checkout process. All it takes is a dollar or two in price difference.
How will this be implemented?
While it’s unclear at this moment, it’s very likely that Google will be using a structured data system that can be utilized by site owners through the Search Console. It’ll appear in the rich cards menu along with the others.
Considering they’ve just about missed their 2018 projection, we can expect Google’s VR searching to go into effect globally in 2019.

Welcome to Tokeet’s Podcast — your trusted source for insights, trends, and strategies shaping the vacation rental industry. Each episode features expert interviews, data-driven analysis, and practical tips to help property managers grow their businesses, improve guest experiences, and stay ahead in a rapidly evolving market. Whether you’re new to short-term rentals or managing a large portfolio, tune in to stay informed and inspired.
A high Airbnb occupancy rate can look healthy while hiding underpriced nights, heavy turnover, or weak margins. A low rate can point to pricing, but it can also expose listing friction, stay restrictions, weak visibility, or poor conversion.
In this episode, we break down how to calculate occupancy correctly and why broad averages are often a weak benchmark. We also look at booking pace, comparable local listings, and the difference between a demand problem and a pricing problem.
The goal is not to chase one percentage. It is to use occupancy as a signal for the next decision.
Key Takeaways:
✅ Calculate occupancy from booked nights and available nights
✅ Compare similar listings in the same market and season
✅ High occupancy can signal underpricing
✅ Low occupancy does not always mean rates are too high
✅ Change one variable at a time and review the result
Related Links:
Company: https://www.tokeet.com/
Blogs: https://www.tokeet.com/blog/
Blog: Airbnb Occupancy Rate: Benchmarks That Actually Help 👉https://blog.tokeet.com/airbnb-occupancy-rate/
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