Rentibly AI — Overview, Part 1

Hey, and welcome to part one of this overview of Rentibly AI! I'm going to show you how to run your business just by asking — your morning briefing, numbers you can trust, your inbox, your team, your marketing, even your bills — and how it does real work, with you approving every single change. Here's everything we'll cover. Every chapter has its start time right here, and in your player, so if you're after something specific, skip straight to it. Let's get started.

This is the Rentibly Command Center. Every booking, every payment, every guest message, every owner statement, all in one place. It's a lot to hold in your head. So let me show you the fastest way through it. Rentibly AI sits in the bottom right of every single screen. Click it, or just press Command J from anywhere, and it opens beside your work instead of on top of it. If you're not sure where to begin, it gives you somewhere to start — today's digest, what needs action right now, revenue this month, tomorrow's check-ins.

And if you want the full map of what it can do, it's right here in the header. It's organised by the job you're actually doing. Analytics and reports. Availability, calendars and pricing. Every section shows you the kind of thing to say to it, in your words, not a menu of commands. Tasks and operations. Finance and owner economics. And automations — where you describe a rule in one sentence, like "after every checkout, book a deep clean at eleven", and it builds it for you. Every rule it builds is saved switched off, so nothing starts creating work until you decide to turn it on. Alright. Let's actually use it.

Here's how most people start their morning. I'll just ask for today's digest. Now, this isn't reciting anything from memory. It's going through your workspace as it stands right now — who's in house, what's due, what's overdue, who's arriving — and pulling it into one briefing. The same check you'd normally do across five different screens. A full briefing in one answer. What's due today, what's overdue and by how much, revenue year to date against last year, the oldest unpaid balances by name, who's in house right now, and who checks in today. That's your whole morning stand-up, before you've opened a single screen.

Now let's ask it for a number. And this is the part that matters most: it doesn't estimate, and it doesn't guess from memory. It goes and queries your real data. A chart, the full ranking underneath, and then the read on it. Venice out in front at sixty-one percent. Edgewater trailing badly at thirty-nine. And look — it flags Midtown as having no data at all, rather than quietly inventing a number to fill the gap. And you don't have to start over to dig into that. Just keep talking to it. Why is Edgewater so far behind? Watch the markers come up as it works — it's pulling the calendar, the listings, any open incidents, the channels each property is live on. It's investigating, not guessing. It remembered exactly what we were looking at, went back for the detail on its own, and came back with something you can act on.

It isn't only in the panel, either. See that little star on every figure on your dashboard? Click it, and it explains that exact number — where it came from, and what moved it. It works it out the same way the tile does, so the two can never disagree. It breaks the number down against last month, shows you which properties are driving it — and then flags something you never asked about: a chunk of that revenue is recognised but not actually collected yet. That's the difference between a dashboard and someone reading it for you.

Same story with revenue across the portfolio. Top five properties, last quarter. You'll see it build the chart first, then the ranking, then tell you what actually stands out. Ranked, with the real figures behind every bar — and Palisade Heights out in front by about thirty-two thousand. Owner statements are usually an entire afternoon with a spreadsheet. So let's ask who's in line for the biggest payout this month. This one takes a little longer, and that's the point — it's finding every active owner, then projecting each of their properties one by one, from real bookings, net of costs. The same projection you'd build by hand, owner by owner. Just without the afternoon. Every owner, every property — give it a moment. It projected payouts for all seventeen owners at once. Emma Petrov leads at eighty-six thousand, and it shows you exactly which properties got her there. It even tells you which owners it couldn't match by name, instead of papering over them.

It knows your operations too, right down to a single open incident. I only gave it the building and the problem — it goes and finds the actual record, the property, and the guest it affected. It pulls the whole thread on it — what happened, where it stands now, and how long it's been sitting there — without you opening a single screen to go and find it.

Now, everything so far has been reading. Let's make it actually do something. A follow-up task for Liam Dubois on his inquiry, due Friday. It looks up the inquiry first, so the task is linked to the right record — not just a note floating on its own. Here's the bit I most want you to see. It doesn't just do it. It shows you the exact task — title, due date, who it's assigned to — and even reminds you Liam checks in on Wednesday. Then it stops, and waits for you. Nothing gets written until you tap confirm. And now it's real. It's sitting in your task list exactly like something you'd have typed in by hand.

It's just as useful to know where the line is. So let's ask it to do something it shouldn't — delete a booking outright. It won't. It says deleting a booking isn't possible — not through it, not anywhere in the platform. Instead, it offers to find Liam's booking and put a cancellation proposal in front of your reservations team. It proposes. People decide.

Next — it writes just as well as it reads. An Airbnb listing for Palisade Heights 9C. It isn't filling in blanks — it pulls up the property itself and looks at the photos first, so what it writes is about this apartment, not any apartment. And writing for a channel matters: Airbnb has its own style, and its own rules. A complete listing — the hook, the amenities, the neighbourhood, the house rules. Then it tells you which features it led with, and why. And it caught something: "beach access" is listed for a property in Denver. It flags that before Airbnb's reviewers do.

Now let's go where most of the day actually goes — the inbox. Every WhatsApp, every email, every Airbnb, Booking.com and Vrbo message lands in one place, and the assistant can read all of it. So let's start with the obvious question: what's urgent? It goes through every open conversation — what's flagged, who's on it, and how long it's been waiting. Seven urgent conversations, with the guest, the channel, who's on it and when it last moved. And it points straight at the one that matters most — a VIP guest that nobody has picked up yet. Let's open that one up. It pulls the ticket and every message in the thread — not just the subject line, the whole conversation. And this is why reading the actual messages matters. The subject line says the pool heater's broken — but the guest only asked for the WiFi password, and it was answered weeks ago. It's urgent on paper, and finished in reality. So let's tidy it up. I'll just tell it what I'd tell a colleague — it's sorted, mark it resolved. Same as before: a card with exactly what changes, and nothing changes until I confirm.

If you run a team, this is the question you'd ask on a Monday morning. How's guest services actually doing? It runs the same scorecard and response-time reports you'd find on the Reports page — every agent, three months of tickets — and then tells you what it means, instead of leaving you with a wall of numbers. A scorecard for every agent. And it reads it for you: replies are quick — fifteen minutes at the median. The real problem is missed first-response targets, and eighteen conversations nobody's picked up.

Marketing next. Let's say there's a gap this weekend at Palisade Heights, and I want a WhatsApp offer out to past guests. I'll tell it which property, and where the button should go. It looks up the listing and its photos, and writes to WhatsApp's rules for marketing. The property's own photo as the header, the message written from the real listing — four bedrooms, sleeps ten, pool and mountain views — a Book now button, and the opt-out line WhatsApp requires. It only shows a card Meta would accept. Confirm, and it's saved as a draft. Nothing goes to Meta and nothing goes to a guest until you decide it should.

Email works the same way, and it'll build whole sequences, not just one message. A win-back journey: three emails after checkout, a month apart, and it stops the moment the guest books again. This isn't filling in a form — it's writing three separate emails, each with its own subject line, its own angle, and its own button back to your website. Every step, laid out: the trigger, the three emails — each one written, with a subject line and a button — the month-long waits, and a check before every send that ends the journey if they've already booked. Only guests who opted in will ever get it. Confirm, and it's saved as a draft journey — not switched on. You can open every email in the designer and change a word before anything goes out.

Last one, and it's the one everybody hates doing by hand: bills. Here's the electrician's invoice for those dead outlets at Aqua Tower, and the utility bill for Palisade Heights. I'll just drop them both in. One's a PDF, one's a photo taken on a phone. It reads them the way you would — then finds which property each bill belongs to. It read both, pulled out the vendor, the date and the amount, and matched each bill to the right property on its own. One card, both expenses, about four hundred and ninety dollars in total, receipts attached. Confirm. Both are booked against the owners' next payouts, with the original bill attached for them to see.

A few last things worth knowing. You don't have to type at all — you can just talk to it. You've seen it read photos and PDFs. You can save the prompts you use every week, and every conversation you've had is still here in your history. So that's Rentibly AI. Ask in plain language, get answers off your real data, and approve anything that changes. It isn't a chatbot bolted onto the side of the product. It's the fastest way to use all of it.

Thanks so much for watching — and part two is up next. If you're already on Rentibly, press Command J on any screen and just ask it something. And if you're not on Rentibly yet, book your demo call — and we'll show you all of this, live.