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What Site Selectors Actually See When They Search Your Market: A Data-Quality Scorecard

Your market gets about 90 seconds to pass the screen. Here's how to grade what selectors will find.

Resimplifi Team

CRE data strategy and market readiness

A site selector opening your market’s website for the first time is screening it against a checklist, fast. A working consultant on a live project spends roughly 90 seconds per community during long-list reviews, often less than five minutes total, and what they find in that window decides whether your market advances or gets cut.

Most civic organizations never witness this stage, so they optimize for the request for information (RFI) response and pay little attention to pre-emptive ways to make their market (and market data) more viable.

What do site selectors look at first on a civic organization’s website?

A site selector working a long list has one goal when visiting your website: confirming you have the fundamental market and listing data published and up-to-date. If any of the following are missing or stale, your community gets cut before anyone at your organization knows a project exists.

  • A searchable, filterable properties database with square footage, acreage, zoning, utilities, and asking price, on the page.
  • Site specs at a level a selector can screen on: developable acreage after wetlands and easements, utility capacities with distances, transport access, ownership, and a defensible price range.
  • Workforce data tied to specific sites and calibrated to the project type, including commute-shed analysis, wage comparables, and sector employment.
  • An incentive matrix spelling out what programs exist, at what thresholds, and who administers them.
  • A named contact with a direct line and a working phone number, not a generic form routed to info@yourcity.gov.
  • Visible “last verified” (not just “last fetched”) dates on data fields. Selectors look for these freshness cues specifically, and data untouched for 18 months or longer typically triggers a cut.

Why does data quality determine the shortlist more than fundamentals do?

Site readiness has become a development filter faster than most civic organizations realize. Area Development’s 2026 survey of site selection consultants found that “site readiness and due diligence status” was rated important or very important by 98.5% of respondents, up from 78% the year before, one of the largest year-over-year jumps in the survey’s history.

Online screening is meant to be an elimination process more so than a discovery tour. The U.S. Department of Commerce’s site selection guidance describes the research phase as “essentially a process of elimination, using data to advance from a long list of considered locations to a shorter list.” Missing or stale data is the fastest way to fail elimination, leaving markets none-the-wiser of the opportunity passing them by.

Site selectors test your data against a checklist, and don’t ask for a pitch unless what they see convinces them your market is worth the request. Consultants openly publish their screening criteria and rewards fielded, current, verifiable data over clever positioning.

The Data-Quality Scorecard: grading your market

Here’s the same short scorecard a working selector runs against your EDO website. Score each row 0 (missing or broken), 1 (present but stale or incomplete), or 2 (current, complete, verifiable). A score of 12 or below is at material risk of being cut during long-list screening.

This scorecard measures how well your data survives the first five minutes of screening, which can matter much more than how good an available site in your market fits their needs.
DataWhat selectors expect (+1)Bonus points (+2)
Properties databaseInteractive, filterable, current, not a PDF or third-party redirectOwned database with search filters and a visible “last updated” timestamp
Site specsGross and developable acreage, utility capacities with distances, transport, ownership, price rangeEvery listed site has all fields populated and a downloadable one-page site sheet
Building specsSquare footage, clear height, dock doors, crane capacity, rail, fiber, utility serviceEvery industrial listing has all specs; missing specs are flagged, not omitted
Freshness signalVisible “last verified” date on every listing and data fieldVerification is quarterly or better, dated within the last 90 days
Workforce dataCommute-shed, sector employment, wage comparables, calibrated to project typeData published in the current year, tied to specific sites, source cited
IncentivesProgram-level detail with thresholds and administering agencyIncentive matrix with named contacts, updated in the current year
Contact pathwayNamed human, direct phone, professional emailSingle named contact per site, visible on every property listing
Response-time signalsNews section active in current year, mobile-responsive, fast loadContent updated in the current quarter, dates visible throughout

Why can’t most civic organizations keep this data current on their own?

The data is genuinely hard to maintain manually. A mid-sized civic organization’s market may contain hundreds of active commercial listings across brokerages, plus dozens of shovel-ready public sites, each with roughly a dozen fields changing quarterly.

Most civic organizations run two- to five-person teams. Building a defensible “last verified” cadence across every property, every quarter, is a full-time job nobody has budget for. The tools most EDOs rely on either show only public listings, missing the private, brokerage-held inventory that makes up the majority of the market, or push the maintenance burden back onto local staff without a verification layer.

Resimplifi built its data model around this exact gap, reviewing thousands of sources multiple times a week so civic teams aren’t the ones chasing every metric by hand.

What actually changes when your market’s data is continuously verified?

A selector filtering a long list on square footage, zoning, and utility capacity chooses your sites because data are populated and current and fit their criteria, not because they already knew to look for your community. Visibility compounds, too, as selectors remember which markets consistently have usable data, and staying top-of-mind becomes the leading indicator of which communities get shortlisted on the next project, often before an RFI comes in.

When an RFI does arrive, a verified dataset means your team isn’t scrambling to double-check property specs against a 24-hour deadline. Instead, numbers come from a current dataset, which is exactly what the Site Selectors Guild lists as the top RFI response best practice.

What a site selector is actually asking is whether the data you’ve published lets them prove your community is the right fit within the next 90 seconds. You want to give them as much information as possible to explain why they think your market is the place to build. Make them look good: give them what they need upfront and you’ll be first on their minds, even if they don’t pick you this time.

If your market doesn’t score 12 or higher on the scorecard above, the fastest fix is a verified, continuously updated property data layer that plugs into whatever site you already have. Platforms like Resimplifi exist to close exactly this gap, pairing verified listing data with the integrations civic teams already use. Reach out to learn more.

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