How to Choose the Right Airbnb Competitors to Watch

The problem is not necessarily the data. It is the comparison.

Would the Same Guest Actually Consider Both Properties?

This is the first question I would ask.

If a guest saw your property and the other listing in the same search, would they realistically be deciding between the two?

If the answer is no, I would not put much weight on the comparison.

Location matters, but it is only one factor. I would also look at bedroom count, guest capacity, property type, overall quality, major amenities, and the kind of stay the property seems designed for.

A couple looking for a downtown apartment is making a different decision from a family looking for a house with a yard. Even if the two listings are only five blocks apart, they may not be competing for the same booking.

Start With Size and Capacity

I would begin by finding properties reasonably close to your own bedroom count and guest capacity.

They do not have to be identical.

A three-bedroom home that sleeps six may still compete with a three-bedroom home that sleeps eight. But once the gap becomes too large, the guest and the economics of the stay start changing.

Larger properties often have different booking windows, group types, cleaning costs, minimum stays, and weekend demand. Smaller properties can behave very differently.

You want comparisons that help explain your own calendar, not properties running an entirely different business model.

Then Look at Property Quality

This is where the comparison becomes a little more subjective.

Two properties can have the same number of bedrooms and still sit in very different parts of the market.

One may have professional photography, a renovated interior, a pool, high-end furnishings, and hundreds of strong reviews. Another may be much more basic.

If your property sits somewhere in the middle, both listings can still teach you something, but I would not treat them as equivalent competitors.

I would rather identify properties that feel like reasonable alternatives from the guest's point of view.

Ask yourself: if my listing disappeared from Airbnb today, which nearby listings would my guest probably book instead?

Those are the competitors I care about most.

Major Amenities Can Change the Comparison

Some amenities are big enough to create a different competitive set.

A pool is a good example. So are beachfront access, a hot tub, a fenced yard, ski-in/ski-out access, parking in a difficult city market, or a property that allows pets when many nearby listings do not.

If an amenity is a major reason guests choose the property, try to compare yourself with listings offering something similar.

Otherwise you may conclude that another property is performing better when it is simply serving a different demand segment.

Do Not Automatically Choose the Most Successful-Looking Listings

There is a temptation to fill your competitor list with the nicest properties in the market.

I understand why. Those are the listings you want to learn from.

But your competitor set is not supposed to be a collection of properties you admire. It is supposed to help you understand the market you are actually competing in.

I would rather have three realistic competitors than ten impressive properties that attract a completely different guest.

You can absolutely study top listings separately for ideas about photos, positioning, amenities, and presentation. That is useful.

Just do not confuse inspiration with a true comp set.

Look at Who the Listing Seems Built For

I think guest type gets overlooked in competitor research.

Imagine two three-bedroom homes in the same neighborhood.

One has bunk beds, children's equipment, a fenced backyard, toys, and a large dining table. The other has three king bedrooms, a hot tub, a wine fridge, and a more adult-oriented design.

Technically they look similar in a spreadsheet.

In reality, they may attract very different bookings.

The first is clearly leaning toward families. The second may perform much better with couples traveling together or adult groups.

That matters when you compare booking patterns, weekends, minimum stays, and seasonal demand.

Three Good Competitors Can Be Enough

I do not think you need to monitor the entire market.

Too much data can actually make the comparison worse because you start mixing together properties that should not be grouped.

I would rather identify a small set of strong comparisons and watch them consistently.

For example:

Competitor 1: the property most similar to yours overall.

Competitor 2: a slightly stronger property that attracts the same type of guest.

Competitor 3: another close substitute with similar size and location but perhaps a slightly different strategy.

Now you have a much more useful group to watch over time.

What Should You Actually Watch?

Once you have the right competitors, I am especially interested in their availability and minimum-stay patterns.

Are their weekends disappearing earlier than yours?

Do they shorten minimum stays as dates approach?

Are they sitting open during the same slow periods you are?

Do several competitors suddenly have very little availability around a particular event or holiday?

You are looking for patterns, not trying to reverse-engineer every reservation.

Remember that an unavailable date does not prove a booking. Hosts block dates for many reasons, and reservations may also come from other channels.

What becomes useful is seeing similar behavior across several relevant listings over time.

Putting Competitor Analysis into Practice

Once you have your handful of true competitors, the process is straightforward. A few times a month, or whenever you are making a key pricing decision, manually check their Airbnb calendars.

Open their listings in an incognito browser window and view their availability calendar. You are looking for the same patterns we just discussed: How far out are their weekends booked? Are they using shorter minimum stays to fill orphan days? Do they have the same slow periods you do?

You can also cross-reference this with local demand. Check the websites for major local venues, convention centers, or city tourism boards. If you see several competitors are booked on a specific weekend, and you find a major concert or conference on those dates, you have a powerful clue about future demand.

The goal is to compare these observations against your own property. This manual check focuses on the patterns we can observe from the outside and lets you, the host, decide what those patterns mean for your own strategy.

Sometimes the Comparison Tells You Not to React

This may be the most useful outcome of competitor research.

Suppose your next month looks unusually open and you are thinking about dropping your rates aggressively.

After checking a few comparable listings, you see their calendars are also wide open.

That does not guarantee your pricing is correct, but it gives you important context. The market may simply be booking later or demand may be soft.

Now imagine the opposite. Your competitors have much less availability while your calendar remains open.

That is when I would investigate further. Look at your pricing and scan your calendar for awkward gaps you could fill by relaxing minimum stay rules. Then check your Search Visibility, run a free Airbnb Listing Audit, and see if your view-to-booking conversion rate is low.

The competitor data does not make the decision for you.

It tells you whether you are experiencing the same thing as the market around you.

Build a Comp Set You Actually Trust

I think competitor research becomes much more useful once you stop asking, "What are nearby Airbnbs doing?"

Ask instead:

What are the properties competing for my guest doing?

That smaller group is the one worth watching.

Choose it carefully, keep it relatively consistent, and pay attention to patterns over time. You will learn much more from three relevant properties than thirty random ones.