Matt Richling on why owning a neighbourhood beats chasing a city

by REM Bot

Here is a sentence you do not expect to type about a guest on a real estate marketing show: Matt Richling represented his country in competitive underwater hockey at the world championships. He mentioned it in passing, the same way you’d mention you used to have a paper route. Taylor Hack, who has known Richling for years, had never heard it.

Richling has built a real estate business in Ottawa for two decades, first by blogging condo construction sites before anyone else thought to, and more recently by pushing Taylor Hack, mid-build on his own Edmonton River Valley strategy, to rethink the whole approach. His argument, in short: stop trying to cover the whole river. Go become the mayor of one street.

The origin story is better than the strategy

Before any of that, though, you need the backstory, because it explains everything that follows.

In 2010, Richling was in his mid-twenties, living at home, and trying to sell homes to families who looked at him and saw a kid. So he found condos instead, people closer to his own age, closer to his own life stage, and he needed a way to be relevant to them. He did not have listings. He did not have a following. What he had was a camera and a willingness to stand outside a construction fence.

“I’d go to the guy who holds the stop sign and say, hey man, what are you guys doing,” he said. The guy would tell him it was P3 parking that week. Richling would take a photo, post it, and move to the next site.

He was not selling pre-construction. Developers already had sales teams for that. He was just the only person publishing information that out-of-town investors, who had bought units sight unseen and had no other way to check on their buildings, actually wanted. It worked so well that people now call his office asking why a door is locked, assuming he manages the building.

He does not manage the building. He just talked about it before anyone else did.

The mayor line

Hack had spent the last few episodes building a content strategy around the entire Edmonton River Valley, splitting audiences into dog owners, cyclists, runners, families. Sound, sensible, well-researched. Richling’s response, delivered with the bluntness of someone who has already made every mistake once: too big, too soon.

“I want to push you to say you’re thinking too small,” he said. Which is a strange thing to say to someone building a strategy around an entire river system, until he explains what he means. “Become the mayor of each niche area.”

Not the river. One street. One circle. One park bench where the neighbours happen to gather. Know the tree that fell down. Know the kid selling lemonade. Know it so completely that when someone from that three-block radius eventually looks you up, their reaction is not “Oh, another agent” but “Wait, how does this guy know that?”

“When someone comes across you from that neighbourhood, they go: holy shit, Taylor knows everything about this neighbourhood,” Richling said. “I have to go to Taylor to get in there.”

You do not get there by covering more ground. You get there by refusing to leave a smaller one.

The ChatGPT grudge

Here is where it gets genuinely funny, because Richling did something most people would be too embarrassed to admit on a live show: he got mad at an AI model for not recommending him.

Not in a philosophical, isn’t-technology-strange way. In a personally offended way.

“I was pissed. I was annoyed,” he said. “Why did you not pick me? I am dominating this category.”

He asked ChatGPT directly why he had been left out of its answer. The response, once he pushed past the polite corporate hedging, came down to a gap in the specific, lived, on-the-ground detail available about him. Not a lack of general information. A lack of the stuff that only exists if you have actually stood in a building. Owner-to-renter ratios. Pet policies. What decade the homes on a specific block were built and what the kitchens typically look like inside them.

“It wants the things that no other portal or AI can see,” he said. “And that only comes from your experience being there.”

Which is a strange kind of validation. The machine is not looking for polish. It is looking for the same obsessive, slightly unhinged local knowledge that got Richling standing outside construction fences fifteen years ago. Turns out the algorithm rewards the same thing the guy with the stop sign did.

Felicia is not a demographic. Felicia is a person.

The persona system Richling’s team uses deserves its own mention, mostly because of how specific it gets.

Instead of writing for “young professionals” or “first-time buyers,” his team writes for Felicia. Felicia is not a market segment. Felicia works for the government, has a cat, is single, and keeps showing up, again and again, as the actual person walking through their doors. So they write for her. Directly. As if she is one specific human being, because functionally, she is.

“We create it for one human,” Richling said.

It sounds almost too simple to be a strategy, until you realise most agents are doing the opposite: writing broad content for an imagined crowd instead of specific content for the one person who is actually going to read it.

The takeaway, if you need one

Richling’s closing advice was the least Instagram-friendly, most correct thing said all episode: do not expect a return on any of this soon.

“You don’t become the mayor after one blog post,” he said. “It’s going to take years. It’s a start yesterday.”

No hack. No shortcut. Just the same thing that turned a broke twenty-something with a camera and a stop-sign guy into the person Ottawa calls when they lock themselves out of a building he has never even listed.

The full episode covers how Richling built his team’s hiring approach around character rather than resume, how he uses seller interviews to surface specific, ownable details for listing marketing, and how hidden interest communities, from mountain biking groups to competitive underwater hockey, reveal client motivations that never come up in a standard buyer consultation.