My team and I just discovered a new way to analyze any Airbnb or any short term rental on any platform, whether it’s VRBO, or booking.com, or Google Vacation Rentals, in 30 seconds or less.

This isn’t a joke, this is the real deal.

I want to show you how, stay tuned.

Welcome to Short Term Rental Riches.

We’ll discuss investing in real estate, but with a specific focus on short term rentals.

Quick, actionable items to acquire, manage and scale your portfolio.

I’m your host, Tim Hubbard.

Hey there, short-term rental owners.

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Welcome back to the show.

I’m glad you’re here again.

If you’re new to the channel, well, my team and I have managed tens of thousands of guests and we’re always uncovering new tools and new ways to make sure that we’re staying ahead of the competition.

And this week, we’re talking about another way to use artificial intelligence, how we can analyze our competition or analyze a market really in just 30 seconds.

I know that sounds crazy, but we all know the power of artificial intelligence and we’ve written the perfect prompt, which you can have for free.

We’ll give you the link.

It’s in the show notes.

There’s really only two steps for you to complete this process.

So first off, what is this prompt for?

Well, it’s basically a way to analyze all of the reviews for any specific property in just a few seconds.

So reviews are public information, right?

Whether they’re on Airbnb or VRBO or wherever it happens to be, we can simply just copy those and we can paste them into ChatGPT.

So the more important piece is analyzing that data and uncovering little nuggets in there so that we can improve our own properties.

Or if we’re investing in a new market and we’re not quite sure who the ideal guest is or the ideal amenities, we can uncover this information from the top performing properties really, really easy.

So by analyzing reviews, we’re really getting to the heart of it, right?

We can see why someone enjoyed a property and why they didn’t, why they enjoyed staying in a certain neighborhood or why they didn’t.

It can tell us about the specific properties.

Maybe they really enjoyed the view, but there’s other properties in the same neighborhood that don’t have a view.

And we can use that initial data to help us uncover more, right?

And so, if we can do a really good job at analyzing all of our competition, well then we know exactly who is going to be staying at our property, and we can make sure our property listings are tailored perfectly.

So the first thing is, we can copy all the reviews from the best performing properties.

We literally just open them up, it’s public information, click and scroll all the way down, and then we’ll copy that into Chat GPT.

Of course, we need to ask Chat GPT in the right way.

So I’m just gonna read to you from our prompt.

This is just the first piece of our prompt, but it says analyze positive comments.

Identify and count the frequency of positive comments related to the property’s features.

List the top 10 features guests liked, including the number of reviews that mentioned each feature.

So we wanna know if something’s getting mentioned more than once, right?

They really enjoy that view, or they really enjoy that it’s right next to a grocery store, or whatever it happens to be.

We’re gonna uncover this in a really easy to read format.

But we also don’t want our results to come back with some just basic information, right?

So we’ve added in a piece that says, as you’re completing each of the numbered items, please try to exclude common guests’ positive comments that are desired in every property, right?

So ones that aren’t going to make that property unique.

These could be things like great host communication, right?

We know that.

We know that our guests want good host communication.

We know that they want a clean property.

So we don’t want our results coming back and saying, oh, make sure your property is clean.

We already know that.

The next piece of info we’re going to extract from these reviews.

Remember, you can do this on any property, or if you’ve been running a property for a long time, I highly suggest you go back and copy all of your reviews and you use this chat prompt to make sure that you aren’t overlooking anything.

So the next thing is we want to identify top local attractions.

And actually, I got the idea for this prompt after experimenting with some of my own properties.

This specific guest review mentioned that had they known it was so close to the zoo that they would have booked it regardless.

And I dropped the ball.

I didn’t have the zoo mentioned in there.

So this next piece of the prompt basically says, count and list the top 10 most mentioned local attractions in the reviews, including the number of reviews that mentioned each attraction.

So again, if the zoo is mentioned 10 times in there, then you know you need to have that really clearly in your listing description.

You might even go as far to add that to your title.

You know, steps from the zoo, blah, blah, blah, blah, blah.

Right?

And so this is really important information.

And we’re going to ask for 10.

If there’s not 10 there, then the prompt simply can return a result that says there’s not enough data.

So for any of you out there that are maybe like, what the heck is Tim talking about in these prompts?

And you haven’t used Chat GPT, this is essentially just a way for you to analyze data.

Chat GPT, there’s a free version.

There’s also other ones out there like Bard where you can just paste this data in, but the data by itself isn’t gonna be super helpful.

You have to give it a prompt or instructions, in other words, to give you the results you want.

And so the prompt that we created is what you’re gonna copy in along with those reviews.

So the next piece is we wanna analyze negative reviews, if there’s something negative about the neighborhood or about specific properties, or something that might be affecting the guests showing up to our property, then we wanna make sure we’re really transparent about that.

So this next piece of the prompt says, identify and summarize the top five negative comments or feedback about the property.

Include the dates, month and year, when the reviews were left.

So again, when we’re analyzing all this data, we don’t want to pull out negative reviews from four years ago.

Maybe a specific property had an issue with the air conditioning, and it was a really hot summer or something.

We want really good data that’s gonna be insightful, right?

That’s gonna help us write our listing in a different way.

So again, there’s a bunch of really important information that we can pull from reviews.

The main goal behind all of this though, is to understand our guests and what they want.

And so the last piece of this prompt says, based on the analysis of these reviews, the reviews that you’ve copied and pasted, describe the ideal guest profile for the property.

Consider the types of guests who most frequently left positive comments, and what they valued most about their stay.

Again, whatever pops up in these results, we wanna make sure that that’s really clear in our listing description.

Maybe we have photos around that.

If someone really enjoyed the theater, then we wanna have the theater in some of our photos showing that, right?

These are real world data.

People that stayed in our property or stayed in properties like ours.

And it’s really gold when it comes to writing our listing descriptions and making sure that we are selling our property to the right person.

So that’s pretty much it.

Again, you could alter this prompt in any way you want.

So if you discover new ways to uncover bits of gold from reviews that are left at your property or properties around you.

Remember, you can get this prompt from us just by going to strriches.com.

You will see our artificial intelligence document.

It’s basically a living, breathing document where our team and I are constantly adding new prompts to it.

And all you gotta do is copy it and then copy some reviews from your neighboring properties, paste them in there and you’re gonna have a lot of good info.

So until next time, I hope this saves you a little bit of time and I hope you have a fab this week.

If you’ve been listening to the podcast for a while, then you know that I’ve been managing my properties virtually for years and years.

My team and I have managed thousands of guests.

We’ve learned a ton and I’m really happy with the progress and the growth we’ve made.

In fact, we’re now big enough to help manage your properties as well.

Our team has a ton of experience from the inner city apartment to the large lakeside retreat.

We’ve worked with all types of properties across the nation.

We’ll help to take the management workload off your plate while earning top revenue and excellent guest reviews, all while charging an industry low fee.

If you’d like to find out if your property fits with our program, just head to strriches.com.

There you’ll see a property management button.

Again, that’s strriches.com.

Just click on the property management button, and we look forward to chatting with you soon.