AI Manager for Short-Term Rentals: Price First

A short-term rental seems to need little management. You post the listing, check the guest in, arrange the cleaning. But questions pile up every day. Can I arrive early? Where do I park? What is the Wi-Fi password?

Between those answers you need to check the price, reply to a new booking request and make sure the apartment is ready for the next guest. There are many tasks, and almost all of them are small.

Our partner, the integrator EFFI AGENTS from Kazan, decided to start with the simplest question: is the price set correctly?

We connected the agent to the analysis of listings on Avito and other platforms. It finds similar apartments, compares them with ours and suggests a price.

In one analysis, the price came out about 9-12% below the median of comparable listings. That does not mean income will rise on its own after a price increase. The owner has to look at occupancy, specific dates and demand. But the owner now has a reason to review the price, and that reason is a comparison, not a gut feeling.

Then the agent was given access to the personal Avito seller account. Now it can update the price in the listing, but the order is strict:

1. the agent suggests a price;
2. it explains why this exact price;
3. the person decides;
4. after confirmation, the agent makes the change.

For the owner this is the main condition. The assistant works with his business, and he wants to know what it does and on what basis.

CapyAgent is built on this order. An action that changes something is shown to you first, and the agent waits for your confirmation. The consent applies once: for the next change, it asks again.

It is convenient to talk to it in Telegram. The price suggestion and the question "apply?" arrive in the same chat where you read everything else. You can reply from your phone without opening the platform's dashboard, and the chat keeps the history: what the agent suggested and what you decided.

It also remembers people and tasks. The agent recalls what you discussed before and does not ask you to explain everything again: which dates matter to you, what the apartment's rules are, who to contact about cleaning.

The price is a good first task for an agent, for three reasons. The data is open: competitors' listings are visible to anyone. The result can be checked: there is a suggestion, a basis for it and a decision by a person. And a mistake costs little, because nothing changes without confirmation.

Correspondence with guests is harder. Tone matters there, and the agent first needs the apartment's rules, answers to typical questions and an understanding of when to call the owner. So it makes sense to take it up after the price. In the partner's description, guest messaging is among the next steps.

Two things work now: market analysis and price changes with confirmation. The partner describes everything else as next steps. We write about them as plans, not as finished work.

• Before booking. Answer guests' questions, clarify dates and the number of guests, remind them of the apartment's rules.
• Before check-in. Send the instructions and, once the check-in conditions are met, issue the access code and the Wi-Fi details.
• After check-out. Create a cleaning task, ask for a photo report, remind about consumables.
• For the owner. Compile a summary: the inquiries, the bookings, the occupancy and where his decision is needed.
• For guests. Put together a list of events in the city for the travel dates: what is nearby and what can be seen for free.

The owner summary is close to what CapyAgent already does: on a schedule, the agent collects the data and sends the result to Telegram. The morning CRM digest works this way, for example.

The criteria here are ordinary. How much time goes into messaging. How quickly guests get a reply. How occupancy and income change. The owner can track these numbers too: write them down before the launch and compare after a month. If the figures have not moved by then, the agent should have started with a different process.

This is why we like the partner's approach: take one process that already costs time or money and give the agent exactly that part. The request to such an assistant is simple: "make sure I don't have to keep all of this in my head."

Does the agent change the price in the listing on its own?

No. It suggests a price and explains what it is based on. It makes the change in the Avito seller account only after the owner confirms.

Does a gap of 9-12% from the median mean the price should go up?

No. It is a reason to review the price, not a promise of income. The owner still assesses occupancy, dates and demand.

What already works?

Analysis of listings on Avito and other platforms, and price changes with confirmation. Replies to guests, pre-arrival instructions, cleaning and the owner summary are still planned.

The principle is not tied to rentals. Pick a task you repeat every day, tell the agent what you need, and keep the final word for yourself.

• Download CapyAgent: a free app for Windows, macOS and Linux. On a server it installs with one command.
• Cloud for a company: 1,590 RUB per month plus about 2,000 RUB for the model. The agent keeps working even when your computer is off.
• The AI assistant in Telegram: how to connect the agent to a chat and what it can do.