Buyers are now using ChatGPT and Perplexity to find agents at record rates. For referring agents, this means past clients may bypass you entirely when they need to move out of state. Here is how to stay present enough that they call you first.
TL;DR: AI and the Referring Agent
Homebuyers are shifting to AI search tools at a record pace, with 67% now using platforms like ChatGPT to find real estate agents. For referring agents, this means past clients might bypass you entirely when they need to move out of state. To protect your referral pipeline, you must build a stronger referral habit within your sphere so they think of you before they ask an algorithm.
We spend a lot of time talking about how active agents can get found by AI. But there is another side to the AI search revolution that nobody is talking about.
What happens when you are the referring agent, and your past client asks ChatGPT for a recommendation instead of calling you?
It is not a hypothetical scenario. In the last 18 months, the share of homebuyers using AI search engines like ChatGPT, Perplexity, and Google AI Overviews as their primary research tool has rocketed from 17% to 67%. They are not just looking for market data. They are asking the AI to recommend the best local agents.
When a client in your sphere bypasses you to ask an algorithm, you lose the opportunity to help them. You also lose a 25% referral fee. This post explores why this behavioral shift is happening and what you can do to stay present enough that you get the call first.
The short answer: Buyers are exhausted by traditional search results filled with ads and sponsored listings. AI tools give them direct, synthesized answers in seconds. When a client needs an agent in a new city, asking ChatGPT feels faster and more objective than tracking down their old agent's phone number.
The speed of this behavioral shift is staggering. According to a 2026 FlyDragon report, 61% of buyer-side real estate searches now begin in an AI search engine rather than traditional Google. Zillow's share of agent-discovery traffic has fallen significantly as a direct result.
Clients are not bypassing you out of disrespect. They are bypassing you out of habit. When someone decides to relocate, their first instinct is no longer to ask their network. It is to open an AI app and type, "Who are the top-rated buyer's agents in Boise, Idaho?" By the time you see their moving announcement on social media, they have already signed a buyer agency agreement with someone the AI recommended.
This is the new reality of how AI is changing real estate referrals. If you want to remain the trusted advisor for your sphere, you have to intercept that search behavior.
The short answer: AI is excellent at aggregating reviews and transaction volume, but it cannot assess an agent's character, negotiation style, or communication habits. A warm, personal introduction from a trusted professional will always outperform an algorithmic recommendation.
An AI model only knows what is published online. It knows if an agent has a 4.9-star rating on Google. It knows if they closed 40 transactions last year. What it does not know is whether that agent is responsive on weekends, how they handle a difficult inspection negotiation, or if their personality will clash with your client's.
Your clients know this intuitively, but they need to be reminded. When you offer to connect them with an out-of-state agent, you are not just saving them a search. You are offering a layer of vetting that an AI cannot replicate. A warm referral outperforms a cold lead because it transfers trust directly from you to the receiving agent.
The challenge is making sure your clients know you offer this service before they start typing prompts into ChatGPT.
The short answer: You must explicitly tell your sphere that you can help them buy or sell anywhere in the country. If you only market yourself as a local expert, your clients will assume your expertise ends at the county line.
The agents who are losing their referral pipelines to AI share a common marketing flaw. They have successfully branded themselves as local experts, but they have failed to brand themselves as national connectors. When their past client decides to move three states away, the client assumes their local agent cannot help them.
You have to change that narrative. You need to actively educate your network about your ability to place them with top-tier agents nationwide. This requires strategies to get more referrals that focus on your reach, not just your local market share.
Talk about the referrals you have successfully placed. Share stories about vetting an agent in Texas for a client moving from New York. Make it clear that finding the right professional is a service you provide to everyone in your network, regardless of where they are going.
The short answer: Relying on memory to stay in touch with past clients guarantees you will miss referral opportunities. You need a structured system to maintain consistent, valuable contact with your sphere so you remain top-of-mind.
If you are stepping back from full-time production, it is easy to let your database go dormant. But a dormant database is exactly what AI search engines feed on. When there is a vacuum of personal connection, the algorithm fills it.
You need to build a referral-ready CRM that prompts you to reach out systematically. A simple quarterly check-in, an annual real estate review, or a targeted sphere-of-influence audit keeps the relationship active. When you are consistently present in their lives, they will naturally bring their real estate questions to you first.
You do not need to be selling houses every day to be the most valuable real estate contact your clients have. You just need to be the person they trust more than a chatbot.
Yes. Recent data shows that 67% of homebuyers now use AI tools like ChatGPT, Perplexity, or Google AI Overviews as their primary research method, including asking for direct agent recommendations in specific cities.
Clients often assume their local agent cannot help them if they are moving out of state. They turn to AI for speed and convenience, not realizing that a personal referral provides a much higher level of vetting and trust.
You cannot stop them from using AI, but you can intercept the behavior by explicitly marketing yourself as a national connector. Regularly remind your sphere that you can vet and recommend top agents anywhere in the country.
AI can aggregate public data like reviews and transaction counts, but it cannot assess character, negotiation skills, or communication style. A warm referral from a trusted professional remains the safest way to choose an agent.
Algorithms are fast, but they do not care about your clients. You do. When you position yourself as the gateway to a trusted network of professionals, you protect your clients from bad experiences and protect your referral pipeline from AI disruption.
The next time someone in your sphere needs to move, make sure they know you have a network ready to help them.
GiveReferrals is the agent-to-agent referral platform built by agents, for agents. Markets are capped at 2 to 5 agents. Referrals are tracked end-to-end. Everybody wins. Except Zillow.
Kari Escobar — Co-Founder, GiveReferrals
Kari Escobar is the Co-Founder of GiveReferrals, a licensed REALTOR, and a former sales and marketing executive who held a leadership role at one of the nation's largest real estate teams. She builds systems that turn chaotic referral networks into predictable, trust-driven revenue.
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