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Off-market deal sourcing, built for you

The Off-Market Sourcing Agent

Surface off-market owners before anyone else, traced to the real person.

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Get the free packBook a call

Our production agent sourced 200+ off-market owners in one submarket in 38 minutes.

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Who this is for

The constraint on off-market acquisitions is the list. This removes it.

Acquisitions teams

You know your buy box. You don't have three analyst-weeks per submarket.

Brokers building pipelines

Off-market listings start with the owner. The agent finds them first.

Funds and family offices

One analyst, five submarkets. Each runs in under an hour, not a month.

The seven-stage pipeline

Seven chained prompts, a fixed output contract, and a human gate before outreach.

  1. 1Pull matching parcels
  2. 2Filter to private owners
  3. 3Trace LLC to human
  4. 4Enrich verified contacts
  5. 5Value against live comps
  6. 6Draft outreach per property
  7. 7Verify before delivery

How to run it

Start in a Claude project today. Agent mode is the production build.

Claude

Project, conversation mode

No code

Claude Code

Agent mode

Dev env

Your Excel model

The agent fills it

Any

Want it built and run for you?

We build it on your data and hand back verified deal flow.

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Download the pack

Want the system, not just the files?

Get the full pack once, then use the walkthrough below to see exactly what is inside and how to run it.

Get The Off-Market Sourcing Agent Pack

Enter your details and the full implementation pack downloads right away. No cost.

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Have us build it for you

Book a call and we'll scope it to your submarkets.

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Questions real estate teams ask

What is an AI off-market sourcing agent for CRE?

An AI off-market sourcing agent is a multi-stage pipeline that starts with a county assessor export, filters parcels to your deal box, traces each LLC to the human owner behind it, enriches contact data, runs a comp valuation on every asset, and drafts personalized outreach per property, replacing a 2-to-3-week analyst grind with a 38-minute automated run.

How do you find off-market deals with AI?

Off-market deal sourcing with AI works in seven stages: pull parcels from county assessor data, filter to your deal box, trace LLC ownership through Secretary of State filings, skip-trace to verified contacts, value each asset against market comps, draft owner-specific outreach, and run a self-verification pass before the list goes to the mailbox. The pack provides production prompts for each stage.

What data sources does an AI CRE sourcing agent use?

A CRE sourcing agent draws from county assessor portals and recorder databases (free), Secretary of State LLC filings, skip-trace enrichment providers, and comp data for valuation. The data-source map in this pack lists what feeds each of the seven stages, starting with the free public sources so you can run the pipeline before adding paid providers.

Where AI changes the answer

AI compresses the list-building workflow that consumed 2-to-3 weeks of analyst time per submarket — parcel pull, LLC tracing, contact enrichment, comp valuation, and outreach drafting — into a single chained pipeline that runs in under an hour, making off-market prospecting practical at a pace a manual process cannot sustain.

See how we build this →

Related resources

Want the system, not just the files?

Two ways to go further with NextAutomation.

Work with us

Have us build the sourcing-to-reporting pipeline these files only hint at. Custom AI systems for your firm.

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Join the community

Live builds, the template library, and a room of operators using AI on real deals. from $49/mo.

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From free kit to full system

Solution

AI Deal Sourcing for Off-Market Pipeline

How the full system finds owners, scores motivation, and routes targets before deals reach the open market.

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Solution

Managed Off-Market Deal Sourcing

Want it run for you? We operate the sourcing pipeline and hand back scored, contactable deal flow.

Learn More