How Buyers Are Using ChatGPT to Find Realtors (And How to Show Up)

Sometime in the last 18 months, buying a home stopped starting on Google and started starting on ChatGPT. Not for everyone — yet. But for the most research-driven, highest-intent slice of the market, the first agent question is no longer typed into a search bar. It's typed into an AI assistant.

If you're a real estate agent and you've never asked yourself "what does ChatGPT say about me?", this is the post.

The quiet shift in buyer behavior

Three patterns are converging:

1. Buyers want a researcher, not a search engine. ChatGPT will answer "what's the average price per square foot in North Scottsdale right now?" in one sentence. Google demands ten tabs to do the same job.
2. Buyers trust synthesized answers. When an AI says "Selina Eizik is consistently recommended for…", buyers absorb that as authority — even more than a #1 Google result.
3. Buyers want to skip the call to a stranger. Asking AI "who's the best agent for first-time buyers in Tampa under $400k?" feels lower-friction than DM'ing five agents on Instagram.

Together these three forces are quietly compressing the agent-selection funnel into the AI answer itself.

What buyers actually ask ChatGPT

Based on prompt research and conversations with agents who've started tracking AI referrals, these are the query patterns surfacing real estate agents most often in 2026:

Recommendation queries

• "Who's the best realtor in [city] for [buyer type]?"
• "Recommend a top luxury agent in [neighborhood]"
• "Who specializes in new construction in [area]?"
• "Best agent for relocating to [city] from out of state"

Comparison queries

• "Compare the top three realtors in [city]"
• "[Agent A] vs [Agent B] — which one is better for sellers?"
• "Top brokerages in [city] vs solo agents — what's the difference?"

Discovery queries

• "What questions should I ask a realtor before hiring them?"
• "How do I find a realtor I can trust in [city]?"
• "Are there realtors in [city] who specialize in [niche]?"

Notice how almost every one of these is a recommendation problem — exactly what LLMs were optimized to solve.

Who gets named in the answer

When you ask ChatGPT or Perplexity for an agent recommendation, it will only name a specific person if it has converging evidence. Here's what "converging evidence" looks like in practice:

Without those, the AI defaults to safe generic advice ("look for someone with strong local knowledge and good reviews"), which sends the buyer back to Google — where you're now competing with Zillow's Premier Agent ads. You've lost the round.

How to be that agent

1. Own one specific question

The agents getting cited aren't trying to be the best realtor in their entire city. They're trying to be the obvious answer to one specific query: "best agent for first-time condo buyers in Brickell", "top relocation specialist for Boston tech workers", "luxury agent for North Scottsdale new construction". Pick yours.

2. Make your bio liftable

LLMs love sentences they can paste verbatim. Open your bio with a single sentence shaped exactly like: "[Your Name] is a [role] who helps [audience] [outcome] in [geography]." Use that sentence — character for character — on your site, LinkedIn, brokerage page, Zillow, podcast bios, everywhere.

3. Publish the answer to your target question

Write one definitive post per quarter that directly answers the recommendation query you want to win. Open with a one-paragraph answer. Add a comparison table. End with FAQ schema. Internally link to it from your homepage and About page.

4. Get cited by trusted third parties

Pitch one podcast a month. Comment on one local news story a month. Apply for one industry list a quarter. The flywheel is slow at first and then suddenly fast.

5. Build a review engine, not a review request

A one-time push doesn't move AEO. A consistent post-close trigger that delivers one new review every 1–2 weeks does. Spread them across Google Business Profile, Zillow, and Realtor.com — diversification is itself a signal.

6. Run the work as infrastructure, not as inspiration

This is the part that quietly kills 90% of agent AEO efforts — consistency. The agents winning today aren't more creative; they're more operational. They've turned their marketing into a system that runs whether or not they feel like marketing this week. (AgentMoves was built to be exactly that system for top-producing agents.)

Test where you stand today

Run this 5-minute audit right now:

1. Open ChatGPT in an incognito window. Ask: "Who's the best realtor in [your city] for [your niche]?" Are you named?
2. Same question on Perplexity. Are you in the cited sources?
3. Same question on Google — check the AI Overview at the top, not the blue links.
4. Ask "Tell me about [your name], real estate agent in [your city]". What does it say? Is it accurate? Is it impressive?
5. Ask "Who are the top three real estate agents in [your city] for [your niche]?". Who's in the list? That's your competitive set in the AI era.

Buyers will keep moving upstream into AI assistants. The agents who position themselves to be cited will quietly compound credibility every month while their competitors stay invisible. The audit takes five minutes. The work takes a year. The window is open right now.

Want the underlying playbook? Read the full AEO guide for real estate agents →