How to Show Up When Buyers Ask ChatGPT to Recommend a Realtor

How to Show Up When Buyers Ask ChatGPT to Recommend a Realtor

There’s a question being asked thousands of times a day across Canada that most realtors don’t know about.

“Who’s the best real estate agent in [community]?”

It’s not being typed into Google. It’s being asked to ChatGPT, Gemini, Perplexity, and a growing list of AI assistants — and those platforms are giving back a name.

If that name isn’t yours, you have a visibility problem you probably don’t know you have.

The shift that’s already happening

For the last two decades, the path to being found online was straightforward: build a website, get Google reviews, maybe run some ads. Google was the front door.

That front door is changing.

AI assistants are now the first stop for a growing number of buyers and sellers — especially younger ones. They don’t want ten blue links. They want an answer. And increasingly, they trust AI to give them one.

When someone asks ChatGPT “Who should I call to sell my home in Oakville?” — AI doesn’t run a search. It synthesizes everything it knows about you from across the internet: your listings, your reviews, your website content, your social presence, your bios on third-party platforms, and more. Then it makes a recommendation.

The agents showing up in those recommendations aren’t necessarily the most experienced or the highest-rated. They’re the ones with the strongest, most consistent digital footprint across the sources AI is trained on and actively reads.

Why most realtors are invisible to AI

Traditional SEO was about optimizing for one algorithm — Google’s. AI optimization (AIO) is different. These platforms pull from dozens of sources simultaneously, and they weight things differently than a search engine does.

A few reasons agents get overlooked:

Inconsistent information across platforms. If your name, brokerage, and specializations are listed differently on Realtor.ca, your website, LinkedIn, and your brokerage profile, AI struggles to form a confident picture of who you are. Uncertainty means you don’t get recommended.

Thin or generic profile content. AI rewards specificity. “Serving the GTA” doesn’t tell an AI much. “Specializing in pre-construction condos and first-time buyers in Etobicoke” gives it something to work with when someone asks a specific question.

No structured data. Reviews, sold history, neighbourhood expertise, years of experience — these need to exist in formats that AI platforms can actually read and parse, not just buried in a PDF or image on your website.

Low authority signals. AI looks for agents who are mentioned, linked to, or cited across multiple credible sources. An agent who only exists on one platform has a thin footprint.

What AI is actually looking for

When an AI platform evaluates who to recommend, it’s essentially asking: “Of all the agents in this area, who do I know the most about — and what do I know?”

The signals that matter most:

  • Consistent identity — your name, brokerage, location, and specializations appear the same way across many platforms
  • Reviews and social proof — not just stars, but substantive written reviews that mention specific outcomes (neighbourhood, property type, situation)
  • Topical authority — content (blog posts, Q&As, guides) that demonstrates expertise in specific communities and buyer/seller situations
  • Structured data — machine-readable information that tells AI exactly what you do, where, and for whom
  • Third-party mentions — being cited, quoted, or referenced on other credible platforms beyond your own website

How to improve your AI ranking

The good news: most of these signals are buildable. You don’t need to go viral. You need to be consistent, specific, and present across the right sources.

Audit your current footprint. Google your name, your brokerage name, and “[your city] real estate agent” and see what comes up. Then ask ChatGPT the same question about your market and see whose name it gives. That gap is your opportunity.

Standardize your information everywhere. Pick the exact format for your name, specializations, and service areas — and make sure it matches on every platform you’re on.

Write content that answers specific questions. “What’s the market like in [neighbourhood] right now?” and “What do first-time buyers need to know about [city]?” are questions buyers ask AI. If you have a blog post that answers them authoritatively, you become a source AI can draw from.

Ask clients for specific reviews. A review that says “Sarah helped us find a condo in Liberty Village under $700K in a competitive market” is worth ten times more to AI than “Great agent, highly recommend.”

Get on the platforms AI reads. Realtor.ca, your brokerage profile, LinkedIn, Google Business Profile, and community-focused real estate platforms are all sources AI actively references. A complete, up-to-date presence on all of them matters.

Check where you stand right now

We built a free tool that scores your current AI visibility — how well you’re appearing across ChatGPT, Gemini, and other platforms — and shows you what’s holding your score back.

It takes about 30 seconds to run.

Check your AI score at aio.communitiesxp.com

If your score is low, don’t be discouraged. Most agents are starting from zero because this is brand new territory. The agents who close that gap first will have a significant advantage over the ones who wait to see how it plays out.

The buyers are already there. The question is whether you’re showing up when they ask.


Communities automatically submits agent profiles to major AI platforms, helping realtors across Canada build their AI visibility without any extra work. Learn more

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