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Level 1 · Copy-Paste

The Reverse Prospecting Engine

Your MLS (Multiple Listing Service) already tells you which agents have buyers matching your listing. One copy-paste turns that into a full campaign.

20 min per listing Real demand data

The whole play, at a glance

Run the reportreverse prospecting in the MLS
Paste itcounts + criteria
Run the Engineone prompt
The resultagent outreach + seller update + demand campaign

You walk away with: a message to every matching agent (the warmest call in real estate), a seller update that proves you're marketing, a demand-story campaign for your channels, and a 21-day follow-up cadence. Repeat weekly while the listing is active.

What you'll need

An active listing and your MLS's reverse prospecting report for it. In most MLS systems it's on the listing management screen; your MLS help desk can point to it in 2 minutes.

Your AI Second Brain workspace.

The setup

7 steps0 of 7 done

Copy the count of matching buyer searches and, where shown, the agent names and search criteria.

MLS › My Listings › Reverse Prospecting
14 matching buyer searchesfor 4312 Warnock Ct · updated todayActive
Agent D. MillerSearch: 4+ bed · pool · under $1.2M
Agent K. VaughnSearch: this zip · 3,500+ sqft

What the report looks like in most MLS systems: a match count plus the agents whose buyer searches fit your listing.

Counts and criteria are what the engine needs. If your MLS marks anything confidential, leave it out.

The prompt is in the Prompts section below. Fill the listing brackets, paste the report, run it.

Review each draft, then send. These are the warmest possible messages in real estate.

Draft: text to matching agentReady for your review
Draft the text for agent #2 (buyer search: 4+ bed, pool, under $1.2M).
Hi Dana, Bradley with [brokerage]. The MLS matched your buyer search (4+ bed, pool, under $1.2M) to my new listing on Warnock Ct. Happy to get you in ahead of the weekend if it fits their list. Want the details?Text version · 288 characters · email version below

Peer to peer, zero pressure, specific. Most agents answer this the same day, because it's about their buyer.

"X agents have active buyers matching our home, here's what I'm doing about it this week." Nothing calms a seller like proof you're working.

Load the sphere email and social captions into the tools you already use to send.

Save the Engine prompt as a template in your workspace so each re-run is fill-in-the-brackets, 5 minutes flat. Connected CRM? Have the assistant drop the follow-up cadence in as dated tasks.

The prompt

The EngineThe full campaign from one pasted report
reverse-prospecting-engine.prompt
You are my listing marketing strategist. My MLS's reverse prospecting report shows real buyer demand for my listing. Build the full campaign.

LISTING:
- Address / area: [ ]
- Price, beds, baths, size: [ ]
- 2-3 standout features: [ ]

REVERSE PROSPECTING RESULTS (pasted from my MLS):
[paste the results: number of matching buyer searches, and agent names / search criteria if shown]

Produce, clearly labeled:
1. AGENT OUTREACH: a short, professional message to each matching agent (or a single template if I only pasted counts). Tone: peer to peer, zero pressure, "your buyer's criteria matches my new listing, happy to arrange a showing." Give me a text version and an email version.
2. SELLER UPDATE: an email to my seller reporting the demand signal and what I'm doing about it this week. Reassuring, specific, no jargon.
3. DEMAND CAMPAIGN: one sphere email and two social captions built around the demand story ("N buyer searches matched this home in its first week"). Fair-housing safe: describe the home and lifestyle, never the buyers.
4. FOLLOW-UP CADENCE: when I re-run this report and re-touch each audience over the next 21 days.

Use only the numbers I pasted. Do not inflate or invent demand.

Watch-outs

Contact the agent, never their buyer. Reverse prospecting data is for agent-to-agent outreach. Going around a buyer's agent is a fast way to a board complaint.

Know your MLS's rules for how reverse prospecting data can be used and shared. Quoting aggregate counts publicly ("14 matching buyer searches") is generally the safe zone; naming agents or criteria publicly is not.

Real numbers only. If demand is thin, the play still works: tell the seller the truth and let the AI help you build the plan to change it.