Find Active Real Estate Agents by Asking Your AI Assistant

For a loan officer, the best referral partners are agents who are actually closing deals — not the ones with the biggest billboard. The problem is finding them. Brokerage websites don’t list production, and you can’t tell an active agent from a dormant one by their headshot. The new Model Match MCP server turns that search into a question you can ask the AI assistant you already use.

The Model Match MCP server is a secure connection that lets you pull real real-estate and mortgage data into ChatGPT, Claude, or another AI assistant, just by asking in plain English. Connect it once, and your assistant can find active agents, sort them by volume, and even show you who they already send loans to — all from real transaction records.

Find the agents worth your time

Instead of guessing, ask for the producers. Copy a prompt, fill in the brackets, and adjust the wording to sound like you.

Find the most active buyer’s agents in [city, state] by sales volume over the last 12 months. Include their brokerage and contact info.

Give me a list of real estate agents in [zip codes] who closed more than [X] buyer-side transactions last year, with emails and phone numbers.

Which agents in [market] do a lot of first-time buyer business?

The data behind these answers is the same agent production data you’d find in Market Insights — sales volume, unit count, buyer-versus-seller split, and price range — so you’re reaching out to agents who are genuinely active in your market, not just visible.

See who an agent already refers to

This is the part a generic AI can’t do. Before you pitch an agent, you want to know whether they already have a loan officer — and whether there’s an opening.

Which loan officers has agent [name] worked with recently?

Show me the real estate agents who send the most business to loan officer [competitor name].

That second question is quiet competitive intelligence: it maps a competing loan officer’s referral network so you can see exactly which relationships drive their pipeline. If an agent spreads their business across several originators, that’s your opening to earn a share of it. Ask follow-ups — “only show agents above 20 buyer-side deals” or “narrow to [neighborhood]” — and the list refines instantly.

How to connect it

Connecting happens once and takes about a minute. In ChatGPT or Claude, add Model Match as a connector, sign in with your Model Match account, and approve access. After that, your assistant can answer agent and referral questions in any conversation — no keys to manage, no setup to repeat. Your sign-in is secure, and results are scoped to your account.

Turn the answers into a referral system

A list is only useful if you act on it. Once your assistant surfaces the right agents:

• Lead with value — open with a market insight or a client referral, not a pitch
• Prioritize by activity — start with the agents closing the most buyer-side business
• Track every touch — move prospects into a pipeline so follow-ups don’t slip
• Refine over time — re-ask the question monthly to catch agents whose volume is climbing

Prefer to stay inside Model Match? Ask Model Match answers the same questions in plain English right in your account, and Pulse AI flags which of your past partners are active again.

Ready to find agents who actually close — and earn a bigger share of their referrals? Start a free trial and connect Model Match to your AI assistant today.