The Off-Market Advantage in IOS
In commercial real estate broadly, off-market deals account for a significant portion of total transaction volume. In industrial outdoor storage specifically, the off-market percentage is even higher — because the IOS market has no comprehensive listing database, no MLS equivalent, and no dominant platform where quality sites are consistently brought to market publicly.
CoStar covers some IOS transactions, but its coverage is sparse and backward-looking. LoopNet listings for IOS are rare. Most quality IOS sites never appear in any searchable database until after the deal is done.
The brokers and investors who consistently close IOS deals are those who find opportunities before they're marketed — through systematic market research, owner outreach, and increasingly through AI-powered site identification that can find sites no one else is looking at.
The Traditional Approach: Drive, Research, Call
Before AI tools existed, experienced IOS brokers relied on a combination of local knowledge and manual research to find off-market sites:
- Market driving — physically driving industrial corridors to identify vacant lots, underutilized yards, and sites that appeared to have IOS characteristics
- County assessor research — cross-referencing parcels identified on the ground with ownership records and assessed values
- Skip tracing — finding contact information for property owners who might not have listed their sites
- Cold outreach — calling, mailing, or knocking on doors to reach owners and test their interest in selling or leasing
This approach works — experienced IOS brokers have built careers on it. But it's slow, geographically limited, and dependent on local knowledge that takes years to develop. A broker working this way might do 3-5 thorough market scans per year. A competing broker with AI tools can do 50.
The AI Approach: Draw a Polygon, Get Every Site
CRE Intel's polygon search approach fundamentally changes how IOS market research works. Instead of driving corridors and manually cross-referencing databases, the AI approach works like this:
Step 1: Define the search area. The broker opens CRE Intel and draws a polygon on the map around the target area — an industrial corridor, a zip code, a county, or an entire metropolitan area.
Step 2: AI finds every candidate site. The system analyzes all geographic and data sources within the polygon, identifying every parcel with IOS characteristics — vacant lots, industrial yards, parking areas, underutilized industrial land.
Step 3: Sites are scored and ranked. Every site receives an IOS score 0-100. The broker sees the highest-scoring sites first — the sites most likely to be productive IOS opportunities.
Step 4: Ownership research is integrated. For each high-scoring site, CRE Intel provides available ownership information, pulling from public records to identify who controls the parcel and what contact information is available.
Step 5: Outreach is automated. CRE Intel's outreach automation feature drafts and sends personalized emails to property owners on the broker's behalf, using AI to tailor the message to the specific site characteristics.
The result: a broker can systematically cover an entire metropolitan IOS market — finding every potential off-market site, scoring it, and initiating owner outreach — in a single morning.
What to Look for in Potential IOS Sites
Whether using AI tools or manual research, the characteristics that signal IOS opportunity are consistent:
- Large, flat parcels — minimum 1 acre, ideally 3+ acres, with grades suitable for vehicle movement
- Industrial or heavy commercial zoning — check for outdoor storage as permitted or conditional use
- Existing hard surface — gravel, asphalt, or concrete reduces site improvement costs
- Fencing or perimeter security — signals prior IOS-compatible use; reduces tenant setup cost
- Highway visibility or proximity — within 0.5-1 mile of an interstate interchange ideally
- Adjacent industrial users — compatible neighbors signal market acceptance and reduce zoning risk
- Apparent vacancy or underuse — satellite imagery and field observation can identify parcels not being used to their highest and best use
The Speed Advantage
In a market with 2.5% vacancy, speed is the primary competitive advantage. The broker or investor who identifies a quality IOS site first — and moves to secure it first — wins. The second-place finisher, no matter how capable, gets nothing.
AI-powered site finding creates a speed advantage that can't be replicated manually. A broker using CRE Intel can identify all high-scoring IOS sites in a target market and initiate outreach in the time it used to take to manually research a handful of parcels. Over the course of a year, that speed advantage translates directly into more deals, more fees, and more portfolio growth.
The IOS brokers at Marcus & Millichap, CBRE, and JLL who are winning in this market understand that technology is now the table stakes for IOS competition. The question isn't whether to use AI tools — it's which ones, and how to integrate them most effectively into the brokerage workflow.
Learn more about the technology stack every IOS broker needs in 2025, or join the CRE Intel waitlist to see the platform in action.