Right now, the winning agents in your market are publishing specific content — the kind AI engines hand to buyers asking questions about neighborhoods, comps, and first-time moves. They’re not fighting over generic keywords. They’re answering real questions, in their own voice, and showing up in ChatGPT, Gemini, and Perplexity when someone asks. That’s where the deals are heading. And there’s a pattern to how they’re doing it.
Related: Claude Code for Real Estate Agents — Our Stack
Related: Claude Code for Real Estate Agents — Our Stack
Who This Is For
If you’re a few years into this business, closing deals and building momentum, listing copy is one of those jobs that eats an evening every time — you type, you second-guess, you wonder if a phrase you’ve used 100 times is actually a compliance problem. And maybe you’ve already tried AI help: a chat window suggested a sentence, you pasted it, and it read like a weather forecast written by a bot who’s never been to your town. Or you paid for a ‘content service’ and got a monthly email with generic market updates you could have written yourself.
This is for you if you want to actually see the AI working, on your own computer, doing the job you give it — writing a listing that sounds like a local agent who knows the neighborhood, building a consistent look for your brand, and posting it all where your clients actually are, automatically, every time. No monthly seat at a shared table, no mystery invoice for work you never saw. You run it. You decide what goes out. And you own every piece of it.
What It Actually Does
Here’s the mistake we see agents make: they assume ‘AI’ means the same thing as ‘automatic.’
It doesn’t.
An AI tool is really a set of smart suggestions, handed to you on a screen, while you’re the one who decides whether they’re right and applies them or not.
The interesting ones do something different.
They look at your actual business — your leads, your pipeline, your content — and suggest a real, specific next move, pulled from the patterns they’ve watched other agents make successfully.
Think of it as a smart assistant working a shift alongside you, spotting opportunities you’d normally miss in the middle of a busy week.
But we can look at what’s actually getting built today, across the industry, and spot the direction it’s heading.
And there are 3 patterns that seem to be winning, across both big player-backed tools and the ones built by individual agents.
Pattern 1 is the one we just described — a smart assistant sitting in the background of your business, reading your leads and your content as it comes in and handing you suggestions.
Pattern 2 is the opposite: you ask the AI a question, in plain English, and it gives you an answer pulled from your own data — what’s actually converting in your business, right now, not a generic ‘top 5 markets’ list.
Pattern 3 is the one people talk about the least, but it might be the most important in the long run: an AI that writes itself, in a sense, by watching what you do.
You run a check or a filter in your CRM, build a saved search in MLS, or draft an email — and the AI watches what you’re actually asking and saves it as a reusable query, so next time you don’t have to rebuild it from scratch.
That’s the real shift: from us building our own automations to us showing an AI what we do a few times, and it builds the automations for us — and keeps them up to date, automatically, every time we change our approach.
Now, the part that matters more than any of that: none of it replaces you.
How You Set It Up
Here’s the honest version, because we’re building our own reputation on this one. We’re Al and Victoria Pinder, husband-and-wife ICON agents at eXp Realty, and we run every single one of these on our own business, every single day.
The version we actually run is the automatic one, and that’s where the cost comes in. It runs on Claude Code — that’s the AI engine that runs the individual checks, writes the drafts, and handles the automation. That’s a subscription, and we pay for the version we run on our business.
If you want to run the free, open-source version yourself, the repository is on GitHub — that’s the link in the description, and the setup instructions are right there in the readme. Clone it, follow the instructions, and it runs on your own machine, costs you nothing.
The automatic version is what we actually run on our business, because we’d rather pay and have the time back than do the manual version ourselves.
If you’re top of mind with your sphere and you’re getting referrals without a separate marketing effort, the free version is the honest call — build your own, put it on your own machine, and it costs you nothing.
If your business runs on leads and you’re trying to get every lead handed to you faster than the agent next door, the automatic version is the honest call, and we run that one ourselves every single day.
How It Gets You Found
Here’s the mistake we see agents make: they assume ‘getting found’ only means Google — rank higher, get more traffic, job done.
That used to be true, but it’s not anymore, and AI is the reason why.
Today, getting found also means appearing in AI answers — ChatGPT, Gemini, Perplexity, and the AI tools those answers get fed into.
When someone asks one of those AI engines a question about your market, about a neighborhood, about a specific property, you want your answer to come back, in the same way you want Google to hand your website to a human searcher.
The problem is, there’s no keyboard shortcut for that, no behind-the-scenes setting you can check off. You can’t log into Google Search Console and tell Google to treat your content as an answer.
You publish, and then you wait for the AI engines to decide on their own, in real time, whether your content is useful enough to become one of the sources it quotes when someone asks it something relevant.
That decision is not about who’s the best agent or who’s the most experienced — it’s about who published the right content, in the right format, recently enough that the AI engine still treats it as current.
That’s the shift, and it’s the whole point of this episode. Getting found is not a traffic problem anymore. It’s a publishing problem, and the publishers who win are the ones who publish the right content, in the right format, consistently, so the AI engines never stop seeing them and never stop handing them to question askers.
Now, the good news. None of this is pay-to-play. You don’t buy your way into an AI answer box any more than you can buy your way to the top of Google.
It’s entirely earned, entirely based on the quality and the recency of the content you’ve published. And that means the playing field is level — anyone can publish, anyone can earn their way into the answers, the agent with the biggest brand or the biggest marketing budget is no more guaranteed a spot than the agent who shows up consistently with useful, well-structured content.
So the real question isn’t how do I rank on Google. The real question is, what kind of content do the AI engines actually hand to question askers, and how do I publish that, consistently, in my own market.
What It Means For You
For you specifically — the agent trying to choose where to put your own time and effort — this means you can build your AI stack with confidence, knowing exactly what each tool actually does before you invest a hour setting it up. You don’t need to become a developer to understand what’s under the hood. And you don’t have to buy anything. The free, open-source tools in this space are getting better every month, and they’re the ones we recommend starting with — the skills transfer directly to the paid versions if you ever need them.
If you’re building a brand, this means your content can be consistently on-brand and on-message, across YouTube, blogs, and social, without you spending hours writing copy that sounds like a template. The AI takes the burden of the first draft — you put on the CEO hat and decide which direction to go next, instead of drowning in a todo list of content you don’t have time to make.
If your business runs on relationships — repeat clients, referrals, agents you partner with — this is how you serve those relationships at scale, without adding hours to your day.
Either way, you’re putting the AI to work building the business, instead of letting it sit on a shelf and collect dust. It’s not a toy, it’s a tool you own, running on your own machine, doing real production work every single day. That’s what makes the difference between hearing about AI and actually benefiting from it.
What It Frees You Up To Do
The real math here isn’t ‘I typed a question and got an answer.’ It’s what that answer lets you do that you couldn’t do before.
If you’re building a brand, every hour on the keyboard is an hour you don’t have to spend shooting a video telling people who you are. The AI drafts the script, you review it, and you walk away from the computer with a finished episode you didn’t spend all afternoon making.
If your business runs on relationships, every checked-in client is a file the AI has already opened and updated before you’ve even picked up the phone. You’re starting from a current record, not a blank screen and a memory you can’t quite reach.
And if you’re building a system — a follow-up sequence, a posted video series, a lookalike audience — you’re not coding it by hand. You’re describing it to the AI in plain English, the way you’d explain it to an assistant, and then watching it run. That description becomes the manual. If you’re the only one who touches it, it’s easier to keep it current than a script you stopped updating two versions ago.
None of this is about doing more. It’s about doing what you’re already doing with the same hours, but with the memory and the draft and the running job already taken care of before you sit down.
What To Do First
If you’re building a real estate brand online, the first thing you should do is stop paying for access to someone else’s audience.
Platforms like Realtor.com, Zillow, and even ChatGPT are not your friends. They exist to capture attention that rightfully belongs to you — the local expert with the real answers.
So the very first thing we do with any agent who comes to us is help them understand the difference between paid traffic and owned traffic. Owned traffic is what you build: your website, your videos, your podcast, your blog. It’s the exact opposite of renting a billboard on Google or Facebook and hoping somebody clicks it.
Now, here’s the part that changes every year, and this year is no different. For the last little while, everybody’s been chasing the same few keywords — ‘city name plus homes for sale’ — and fighting each other for position on Google and inside the AI tools. This year, the smart move is to stop trying to outrank everybody else and start teaching the AI tools to answer your own questions instead.
Think about it: instead of writing a blog post and hoping Google reads it and hands you to a customer, you’re asking the AI tool ‘what’s the real difference between a HOA and a condo association’ and ‘how does a first-time homebuyer get started.’ Then you answer those questions, in your own words, on your own website. The next person who asks Google or ChatGPT that question gets you as the answer, typed out loud by the AI tool, along with a link straight to your site.
Nobody can out-spend you on that, because you’re building an asset instead of renting one. And here’s the part nobody tells you: the same exact strategy works inside the AI tools themselves. People ask ChatGPT things like ‘recommend a real estate agent in my area’ all the time, and right now the answer comes back as a generic list nobody paid for. This year, the agents who show up inside those conversations are the ones who taught the AI tool who they are and what they stand for.
So before you open up a single piece of software, the first decision you need to make is: what question do you want to own? Not what keyword you want to rank for, what question do you want the AI tools to ask you out loud, in front of a customer, every single day. Pick one question that matters in your market, and everything else flows from that.
Where to start
If you want help building or reviewing your own AI stack — what’s actually worth your time, and what’s just a shiny toy — we do a free 30-minute strategy call. It’s just us, Al and Victoria, and we’ll look at your business and tell you honestly what makes sense. The link to book it is right in the description below, and our number’s there too.
And if you’d rather start tinkering yourself, the free, open-source starter skills we mentioned are in the description as well, along with the GitHub repository where you can clone them and try them on your own machine, no cost.
Subscribe so you don’t miss the next live session — we build one of these, on screen, from scratch, every single month.
Frequently Asked Questions
What’s the difference between paid traffic and owned traffic?
Owned traffic is what you build yourself—your website, videos, podcast, and blog. Paid traffic means renting space on platforms like Google or Facebook and hoping someone clicks. With owned traffic, you’re building an asset that belongs to you instead of paying to borrow someone else’s audience.
How do AI engines decide whether to show my content to customers?
AI engines like ChatGPT and Perplexity decide based on the quality and recency of your published content, not on who has the biggest budget. When someone asks a question relevant to your market, the AI engine quotes sources it thinks are useful and current. Getting found is entirely earned through consistent, well-structured content—it’s not pay-to-play.
Should I use the free open-source version or the automatic paid version?
If you’re getting referrals from your sphere without separate marketing effort, the free open-source version running on your own machine makes sense and costs nothing. If your business runs on leads and you need to reach people faster than competitors, the automatic version running on Claude Code is worth the subscription because it gives you time back every day.