May is when site selection season kicks into high gear. You're fielding RFIs, prepping data rooms, and racing to respond before consultants move on to the next community. This week, we're focusing on three ways AI can turn your raw data into compelling packages—faster and with less stress.

This Week's Tips

Tip 1

Stop Rebuilding Data Packages From Scratch

Every RFI asks for slightly different data cuts: workforce within 30 miles, demographics within 45 minutes, labor costs by occupation. Instead of rebuilding Excel files each time, create a master prompt template that pulls from your existing datasets. Upload your most recent labor market report, demographic summary, and wage data to your AI tool's knowledge base once. Then craft a reusable prompt: 'Using the uploaded files, create a workforce profile for [radius] around [address] including population, labor force participation, top occupations, and average wages. Format as a two-page executive summary.' Adjust the bracketed variables for each inquiry. You'll cut response time from hours to minutes, and your team can focus on the narrative that sells your community, not wrestling with spreadsheets. Test this with your three most common data requests this week.

Tip 2

Turn Building Specs Into Consultant-Ready Narratives

Site selectors don't want raw specs—they want to understand what makes a property work for their client. When you receive a new listing or update existing inventory, feed the basics into your AI tool: square footage, power capacity, rail access, zoning, asking price. Then prompt: 'Create a 150-word property description highlighting strengths for advanced manufacturing prospects. Emphasize infrastructure capacity and proximity to workforce.' The AI will craft compelling copy you can edit for accuracy and local flavor. This works especially well for properties that have been sitting in your CRM as bullet points for months. Bonus: use the same approach for site comparison matrices. Prompt the AI to create a side-by-side analysis of three properties against specific project criteria. What used to take a full afternoon becomes a 15-minute review and refinement task.

Tip 3

Pre-Build Your RFI Response Library

Most RFIs ask variations of the same 30 questions: workforce availability, utility rates, tax structure, quality of life, education pipeline. This month, spend two hours building an AI-assisted response library. List your 25 most common RFI questions. For each one, draft a thorough answer with current data, then store it in a shared document or knowledge base. When an RFI arrives, prompt your AI: 'Using the RFI response library, draft answers to questions 3, 7, 12, and 18 from this new request. Adjust for a logistics company seeking 200,000 SF.' The AI pulls your vetted content and tailors it to the specific inquiry. You're not automating accuracy—you're automating the tedious assembly work. Your team reviews for current details and adds the human touches that showcase your community's personality. By June, you'll wonder how you ever responded without this system.

★ EconSquad AI Spotlight

Your RFI Response Co-Pilot

The Site Selection Pack in EconSquad AI is built specifically for the data-intensive work of responding to location inquiries. Upload your community profile, recent studies, and property inventory once. When an RFI lands, the Pack helps you generate customized data summaries, comparison matrices, and narrative responses that speak directly to the prospect's needs—manufacturing, logistics, corporate office, whatever the sector.

What makes it practical: it's not writing your responses from thin air. It's reorganizing your good local data into formats that consultants actually want to read. You maintain control over accuracy while eliminating hours of formatting and assembly work. One Ohio EDO director told us she cut her average RFI response time from six hours to ninety minutes, and the quality improved because she could spend that saved time on relationship-building calls instead of spreadsheet gymnastics.

The Pack also helps you spot gaps in your data inventory. When it can't answer a question, that's your signal to go gather that information for next time.

“We were drowning in RFIs last spring. The Site Selection Pack didn't make us lazy—it made us faster and more thorough. I could respond to three inquiries in the time it used to take for one, and I wasn't cutting corners. I was just not reinventing the wheel every single time.”
— Business Development Manager, mid-sized Southern metro

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Here's to shorter turnarounds and more wins this site season.