How Does ChatGPT Recommend Real Estate Agencies?
When a buyer asks ChatGPT, “who’s the best real estate agent in [city]?” Chat can run a live web search and pull a list of agents it believes are the best.
That means the agent pages, bios, reviews, and local guides ChatGPT deems relevant (and recent) are the ones it’s most likely to surface and send traffic to.
In other words, being cited becomes the new placement. Agents who publish clear, credible, and locally specific pages are the ones most likely to appear and get the listing call.
“Homebuyers are asking specific, tailored questions,” says Ryan Darani. “If you’re not writing content to answer these questions, ChatGPT will simply skip your brand. You’ll lose business. And your competitors will get 2-3x more listing appointments because of it.
How Can REALTORS® Use ChatGPT for More Leads
Start with content that maps to real questions consumers ask in chat: “best agent in [city],” “is [city] safe,” “neighborhoods near [landmark],” “closing costs in [county],” “new construction [city].”
Build pages that answer those fully, include a short sources list, and keep your reviews fresh and specific (e.g., “helped us buy in Florida under $800k”).
Then, get your brand featured in as many relevant profiles as possible. Think FastExpert, RateMyAgent, Zillow, Google Business Profile and anything else ChatGPT uses in the ‘sources’ list when it gives you results.
“Your goal isn’t viral traffic,” Darani adds. “It’s placement in the answer when someone is actively choosing an agent. One great, citable page can beat ten average blogs.”
Agents need to take advantage of the speed ChatGPT can surface new content. The time between you publishing a blog and someone calling you about a listing is now quicker than ever, thanks to ChatGPT.
How FlyDragon Turns AI Visibility into Listing Appointments
FlyDragon’s edge is simple: visibility that converts. The agency doesn’t just write blogs—it builds citable, machine-readable pages designed to show up when ChatGPT (and other AI engines) answer real estate questions.
From “best agent in [city]” to “closing costs in [county],” FlyDragon ensures the right agent is the source being cited.
That visibility turns into measurable outcomes: click-throughs, inquiries, and listing appointments. Agents report steady traffic lifts, but more importantly, they’re fielding direct calls from homeowners who found them through ChatGPT’s answers.
“Every time an agent’s name appears in the AI’s response, that’s a digital introduction,” says Ryan Darani, FlyDragon’s co-founder. “We’ve seen those introductions translate into booked listing appointments—and ultimately closed deals. Visibility in AI isn’t vanity, it’s pipeline.”
FlyDragon’s framework combines keyword research, local guides, review strategies, and schema optimization, layered with weekly auditing of whether an agent is being cited. The outcome: agents aren’t just online—they’re recommended.
FlyDragon's Prediction on ChatGPT vs. Google
Search isn’t disappearing, but chat-first discovery is growing fast. ChatGPT’s Search now returns up-to-date answers with links; independent testing shows AI systems are getting better at sourcing and recency, and the broader market is moving toward agent-style assistants that do more than list links.
In 2026, more agents will rely on ChatGPT for listings than on Google because that’s where the prospects will be looking.
Expect a split workflow: Google for broad exploration; ChatGPT for decision support—especially local, service-based queries.
The win for agents: being named (and linked) inside the ChatGPT answer becomes a durable edge—today’s “page one.”
Traditional Agents vs. AI-First Real Estate Agents
Traditional: brochure websites, generic “About” pages, sporadic blog posts, reviews without detail, and no author/citation blocks—giving ChatGPT little to trust or link.
AI-first: question-based pages with clear authorship, timestamped updates, concise Source lists, recent review snippets, and machine-readable schema; they measure chat placement (Are we cited this week?) and keep content fresh to maintain that slot.
“AI-first agents don’t chase algorithms,” says Darani. “They publish evidence—stats, answers, and reviews—so both people and machines can confirm they’re legit. That’s what wins citations.”
Being the Local Recommended Agent in ChatGPT
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Own the “Best Agent in [City]” page. Straight facts: production bands, specialties, real reviews, neighborhoods served, press/features—plus a short Sources list at the end.
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Ship conversion pages for high-intent questions. “Closing costs [city],” “Is [city] safe,” “Top neighborhoods [city],” “New construction [city].” Keep them current; add a date stamp.
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Tighten review strategy. Ask for specifics (“helped us win in 75028 with appraisal gap”), keep cadence monthly, reply with context.
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Make it machine-readable. Add LocalBusiness/RealEstateAgent schema, consistent NAP, internal links to listings/market pages.
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Audit weekly. Run target prompts, note whether your page is cited, and update content accordingly. (This complements—not replaces—your social/CRM/MLS engine.)
About FlyDragon
FlyDragon is an AI Visibility agency for REALTORS®, co-founded by Ryan Darani. The team helps agents and brokerages earn more listings from ChatGPT (and other LLMs) through research-backed content, review frameworks, and technical setup that makes brands easy for AI to trust.
Media Contact: ryan@goflydragon.com
Media Contact
Company Name: FlyDragon LLC
Contact Person: Ryan Darani
Email: Send Email
Country: United States
Website: https://www.goflydragon.com/
