Why Many Airbnb Hosts Still Check Competitor Prices Manually

f you spend time reading Airbnb Facebook groups, Reddit communities, and host forums, you'll notice something interesting:

Despite the popularity of pricing tools such as PriceLabs, Beyond Pricing, Wheelhouse, and Airbnb Smart Pricing, many hosts still prefer to set prices manually.

Some hosts try pricing software and later stop using it.

Others never use it at all.

The reason is simple:

Many hosts do not fully trust automated pricing recommendations.

Why Some Hosts Avoid Pricing Tools

When hosts discuss pricing software online, the same concerns appear repeatedly:

• The suggested price feels too low.

• The recommendation is difficult to understand.

• It is unclear which competitors influenced the result.

• The tool feels too complex for one or two listings.

• The monthly cost is difficult to justify.

For many independent hosts, pricing software can feel like an expensive solution to a problem they believe they can solve themselves.

As a result, they continue to compare competitors manually.

The Problem With Manual Competitor Analysis

At first glance, manual pricing research seems simple.

Open Airbnb.

Search for nearby listings.

Compare prices.

Adjust your calendar.

In reality, it is much more complicated.

To make a reasonable comparison, a host needs to evaluate:

• location,

• guest capacity,

• number of bedrooms,

• ratings,

• amenities,

• availability,

• pricing across different dates.

This process quickly becomes time-consuming.

Most Hosts Compare Only 5–10 Competitors

Based on discussions in Airbnb communities, many hosts review only 5 to 10 nearby listings before making pricing decisions.

That sounds reasonable.

The problem is that a small sample can create a distorted view of the market.

Imagine a location with:

• 100 active competitors,

• different property types,

• different quality levels,

• different occupancy rates.

Looking at only a handful of listings may not represent the actual market.

Some properties may be unusually expensive.

Others may be heavily discounted.

A small comparison group can easily lead to incorrect pricing decisions.

Why Competitor Selection Matters

Not every nearby property is a true competitor.

For example:

• a luxury apartment is not the same as a budget studio,

• a private villa is not the same as a shared room,

• a highly rated property is not the same as a newly listed apartment.

If the wrong competitors are selected, the pricing conclusion may be wrong from the start.

This is one of the biggest challenges hosts face when researching prices manually.

More Data Usually Means Better Decisions

When a host analyzes a larger group of comparable properties, it becomes easier to understand:

• average market pricing,

• market ranges,

• pricing trends,

• seasonal demand,

• overall market position.

Instead of reacting to a few listings, the host can see the broader picture.

This often leads to better pricing decisions.

A Different Approach

This is one of the reasons Corate was created.

Many hosts do not want another pricing algorithm telling them what price to set.

They want better visibility into the market.

Corate does not automatically change prices.

Corate does not generate black-box recommendations.

Instead, it creates a market snapshot around a target Airbnb listing.

The report shows:

• comparable nearby properties,

• local market benchmarks,

• aggregated pricing trends,

• dates priced above the market,

• dates priced below the market,

• the position of the listing relative to the market.

Automating the Manual Work

The goal of Corate is not to replace the host's decision-making process.

The goal is to automate the repetitive work of competitor research.

Instead of manually checking 5–10 listings, Corate analyzes a much larger pool of competitors around the target property.

This provides a broader view of the market and helps hosts make decisions based on more complete information.

Final Thoughts

Many Airbnb hosts continue to price manually because they do not fully trust automated pricing recommendations.

At the same time, manual competitor analysis is slow, repetitive, and often based on a very small sample of listings.

This creates a gap between fully automated pricing software and manual research.

Corate was designed to fill that gap.

Rather than telling hosts what price to use, it helps them understand the market around their property and make pricing decisions with greater confidence.

Sometimes the most valuable insight is not a price recommendation.

It is understanding what the market is actually doing.