You just received a listing for an RV park near a popular lake destination. The site count looks solid, the amenities check your boxes, and the asking price is in the range you told your broker to target. Now you need to figure out whether this deal actually fits your buy box. So you open the OM, start pulling out site counts, hookup types, and pull-through ratios, then cross-reference your criteria on occupancy mix, check proximity to demand drivers, and dig into rate comps for the trade area. Before you know it, 30 minutes have disappeared on a deal that might not even pass the first filter. It’s not that you don’t know what to look for. It’s that screening every deal properly takes time you don’t have when three more OMs land in your inbox tomorrow. That’s exactly what this task is built to fix. sourcing 10 min Buy Box Fit Check - RV/Camping Acquisitions Upload an offering memorandum for an RV park or campground and provide your investment criteria. The AI coworker extracts key deal details from the OM, runs location research, fills data gaps using available tools, and delivers a pass/fail screening against your buy box. Who It’s For RV park and campground investors and acquisitions teams who need to screen inbound deals against their buy box quickly and consistently. What You Get Back A structured pass/fail screening report with a summary, criteria comparison table, data-backed rationale, and a link to the full location analysis. Why It Matters Screen deals in 10 minutes instead of 30, so no opportunity sits unreviewed while you catch up on volume. Task Inputs Offering Memorandum Required Upload the OM, broker one-liner, or deal summary for the property being screened Property Type & Site Configuration Required Target site count, site types, hookup mix, and amenity requirements (e.g., '100+ sites, majority full hookup pull-through, pool and clubhouse, no primitive-only parks') Market(s) & Location Characteristics Required Target markets, proximity to demand drivers, and seasonal profile (e.g., 'Within 2 hours of top-25 MSA, near lake or national park, year-round demand preferred, Sunbelt or destination market') Occupancy Profile & Revenue Mix Required Target occupancy type split, rate parameters, and revenue characteristics (e.g., '60%+ transient/nightly, ADR above $55, less than 40% annual/seasonal long-term, demonstrated peak season above 90% occupancy') Investment Strategy & Pricing Required Target strategy, hold period, pricing, and expansion criteria (e.g., 'Value-add, 5-7 year hold, sub-$75K per site, excess land for 50+ site expansion preferred') Tools Used Deep Location Analysis Generate Demographics Report Precisely Web Research Quick Google Maps Search Places What This Task Does You upload the offering memorandum (or broker one-liner) for an RV park or campground and fill in your investment criteria across four dimensions: property type and site configuration, market and location characteristics, occupancy profile and revenue mix, and investment strategy and pricing. Each input has example formatting built in, so you know exactly how specific to get. From there, the Real Estate Analyst (with Memory) takes over. It reads the OM, extracts every relevant data point (total site count, site type breakdown, hookup mix, pull-through vs. back-in ratio, amenities, acreage, proximity to demand generators, occupancy split, ADR, revenue per available site, NOI, cap rate, asking price, price per site, and more), runs a deep location analysis on the property address using a 5-mile trade area, and maps what it found against each of your four criteria. If the OM is missing something the AI needs to make a call (trade area demographics, parcel boundaries, competitive supply, tourism volume, or rate comps), it pulls only the specific data needed to fill the gap. The whole process takes roughly 10 minutes of your time. The AI does the rest. Who This Task Is For If you’re actively acquiring RV parks and campgrounds, you already know the bottleneck isn’t finding deals. It’s deciding which ones deserve your attention. Every OM that hits your inbox needs to be screened, and doing that well means pulling data from the document, cross-referencing your criteria, and sometimes running your own market research just to make a basic go/no-go call. This task is built for: RV park and campground acquisition teams who receive a high volume of OMs and need to triage quickly without sacrificing screening quality Independent investors building an outdoor hospitality portfolio who want a consistent, repeatable screening framework for every deal in their pipeline Brokers and advisors specializing in RV parks who want to pre-qualify a listing against a specific buyer’s criteria before making the introduction Operators exploring expansion through acquisitions who need to screen new parks efficiently against their existing