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Off Market Commercial Real Estate Deal Sourcing With AI: Buy-Box Database, LLC Owners and Condition Scores

Cole Ruud-Johnson posted a step-by-step playbook for sourcing off market commercial deals with AI: build a database of every asset in your buy box, use Manus to wire up owner research and enrichment, rank properties by physical condition from imagery, then market to owners. It promotes the author's own service; the steps below are the public ones.

By CRE AI Studio Editorial · Oct 19, 2026 · 6 min readAI-assisted draft, checked against the creator's original post.
Short answer: To source off market commercial real estate with AI, export every asset in your buy box from a data provider such as Reonomy or CoStar into one database, identify the real owners behind LLCs, enrich contacts in three passes (LLC, individual, business), and rank properties by physical condition from satellite and Street View images. An AI agent such as Manus can build the portal and connect the data APIs. Then market to owners within DNC and TCPA rules.
Workflow by @coleruudjohnson: four-step diagram for sourcing off market commercial real estate with AI. Step 1, build an aggregated database of every asset in your buy box from sources such as Reonomy or CoStar, hosted in a portal built with Manus. Step 2, pierce LLCs to find the real owners and run a three-phase skip trace: LLC, individual, business. Step 3, rank properties by physical condition from satellite and Street View images. Step 4, market to owners by phone and mail, following DNC and TCPA rules.
Workflow by @coleruudjohnson, summarized from the public post on X (Aug 28, 2026).

Use case credit

Cole Ruud-Johnson @coleruudjohnson

Cole Ruud-Johnson (@coleruudjohnson) posted this off market commercial deal sourcing playbook on X on Aug 28, 2026. The post promotes the author's done-for-you version of the system.

Filed under:ManusDeal Sourcing

What Ruud-Johnson Describes: An AI Machine for Off Market Commercial Real Estate

Cole Ruud-Johnson's X bio describes a "Direct-To-Seller Real Estate Guy" helping investors source more deals. The post opens: "We built a machine that chases down off-market commercial RE deals with AI. Finds properties in your buy box, pierces LLCs, finds contact information, initiates marketing, & more."

He says it is for multifamily, self-storage "or any other commercial assets," and that the company has worked with "dozens of commercial investors." The post promotes that service. The steps are public and specific, though, and the post names the tools you can use yourself. Results the post cites, such as clients "trading LOIs" and contact coverage figures, are the author's claims.

Step 1: An Off Market Commercial Real Estate Database for Your Buy Box

"Build an aggregated database." The company scrapes its own data, but "You don't have to do that tho. You can go to Reonomy, CoStar, & others and build an aggregated database with all assets in your buy box."

The catch: "Only 40-60% will have decent contact information." To hold it all, "You can use Manus to build a portal to host it all." Manus is a general-purpose AI agent.

Step 2: Finding the Real Owners of Off Market Commercial Real Estate

Commercial properties are often owned by LLCs, so the name on the record isn't the person to call. "We use GovFiles to pierce LLCs and find the real owners of each asset. You can have Manus wire up their API in a few minutes so this happens automatically."

Then every record goes through what the post calls a three-phase enrichment flow:

  • LLC skip-trace
  • Individual skip-trace
  • Business skip-trace

The post says that "even across 15,000+ properties in your database, you should have quality contact info on 95%+ of the assets."

Step 3: Ranking Off Market Commercial Real Estate by Physical Condition

"From there, you can use satellite & Street View images from Google to rank properties based on physical condition, wiring that up via API in a few minutes." The post doesn't say how the score is used. One practical use: deciding which owners to contact first.

Step 4: Marketing to Off Market Commercial Real Estate Owners

The marketing step is mostly people and mail rather than AI: trained overseas cold callers ("Follow DNC & TCPA rules"), video postcards that "play a real video testimonial from a past seller when opened," and "a great online presence, social proof, & reviews." The callers are part of the service the company sells, at an hourly rate quoted in the post.

Ruud-Johnson says a follow-up post will cover building an agent and JV pipeline "so other people bring you their deals first."

How to Try It: An Off Market Commercial Real Estate Prompt for Manus

The post doesn't include prompts. The prompt below is ours, for step 1 and the setup of step 2, using an export you already have rights to. Wiring GovFiles or a skip-trace service needs your own account and API key with that provider.

Build me a simple private web portal to manage an off market commercial real estate prospect list.

1. Import [CSV export from Reonomy / CoStar / other], which lists every asset in my buy box: [asset type, size range, markets].
2. One row per property: address, asset type, size, year built, owner name on record, owner mailing address, and any contact fields in the export.
3. Flag each owner as "Entity" (LLC, LP, Inc, trust) or "Individual".
4. Add empty fields for: real owner name, owner phone, owner email, contact source, skip-trace status (LLC / individual / business), condition score (1-5), condition notes, outreach status, and do-not-contact.
5. Add filters by asset type, market, owner type, condition score and outreach status, plus a CSV export.
6. Show a count of properties with and without usable contact info.

Don't contact anyone or call any outside service yet. When this works, I'll give you API credentials for [owner research / skip-trace provider] and we'll connect it as a separate step.

What to Check Before Contacting Off Market Commercial Real Estate Owners

  • Data licenses. Check that your data provider's terms allow exporting into your own tool.
  • Owner matches. Spot-check the people found behind LLCs against state filings before you reach out.
  • Contact accuracy. Test enrichment on a small batch and measure how many numbers and emails actually work.
  • Condition scores. Imagery can be old. Look at a few top-ranked properties yourself.
  • Calling and texting rules. Scrub against do-not-call lists and follow TCPA and state rules, as the post says.

FAQ: Off Market Commercial Real Estate Sourcing With AI

How do you find off market commercial real estate with AI?

In Cole Ruud-Johnson's playbook: build one database of every asset in your buy box, find the real owners behind LLCs, enrich contact data in three passes, rank properties by condition from satellite and Street View images, and then market to the owners. Manus is used to build the portal and connect the data APIs.

Where does the off market commercial real estate data come from?

The author's company uses its own scraper. For everyone else the post suggests Reonomy, CoStar and similar sources to build the buy-box database, and says only 40-60% of records will have decent contact information before enrichment.

How do you find the owner of an off market commercial real estate LLC?

The post uses GovFiles to pierce LLCs and find the real owners, with Manus wiring up its API, then runs an LLC skip trace, an individual skip trace and a business skip trace. Ruud-Johnson says this gets quality contact info on 95%+ of assets; that is the author's claim, not something we tested.

Is AI outreach to off market commercial real estate owners legal?

The post tells readers to follow DNC and TCPA rules for calling. Those rules apply whether a person or a tool places the call. Check your state's rules and get advice before running phone or text campaigns.

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