You just finished a site tour, and the investor wants to know what’s around the property. Gas stations, grocery stores, urgent care clinics, self-storage facilities, whatever matters for the deal. You know the answer is “a lot,” but you need the data to prove it: names, addresses, ratings, distances. All in a format you can actually hand someone. The research isn’t hard. It’s just tedious. Searching Google Maps zone by zone, clicking into each listing, copying details into a spreadsheet row by row, deduplicating, sorting by distance. For 50 locations, that’s an hour. For 200, you’re looking at two. And that’s before anyone asks for a map. That’s exactly what this task is built to fix. research 5 min Find Nearby Places or Properties V2 Search for locations (max 200) of any type across a market area or within a radius of a specific address. Who It’s For CRE professionals who need a comprehensive list of nearby locations for site analysis, due diligence, or market research. What You Get Back A formatted CSV with up to 200 locations including name, address, phone, website, rating, review count, and distance, plus an optional interactive map. Why It Matters Turns two hours of manual Google Maps research into a five-minute task, so your site analysis is thorough every time. Task Inputs Search Area Required Where to search. Can be a city/market (e.g., 'Dallas, TX') or a specific address with radius (e.g., 'within 20 miles of 9600 S Dixie Hwy, Miami, FL 33156') Generate Map Required Whether to generate an interactive map of the results. Default: No Property Name Required Name of the subject property, if applicable. When provided, the subject property is included as the first row in results and distances are measured from it Type of Location Required What to search for (e.g., urgent care clinics, Publix, gas stations, self-storage facilities) Tools Used Google Maps Computer Generate Property Map What This Task Does You give the task four inputs: what you’re searching for, where to search, whether you want a map, and (optionally) a subject property to measure distances from. That’s the entire setup. From there, the Market Research Associate AI Coworker plans a search strategy using up to 10 Google Maps queries, targeting different zones within your search area to ensure comprehensive coverage. It pulls every matching location with full details (name, address, phone, website, Google rating, review count), deduplicates the results, calculates distances from your subject property if provided, and assembles everything into a clean, formatted CSV. If you requested a map, it generates a branded interactive map with pins for every result. The whole process takes roughly 5 minutes of your time. The AI does the rest. Who This Task Is For Anyone doing site-level research needs to know what’s nearby. This task eliminates the manual assembly so you can focus on what the data actually means for the deal. This task is built for: Acquisitions analysts who need to map the competitive landscape or amenity base around a target property before underwriting Market research teams who track specific location types across a metro (e.g., every self-storage facility in Dallas, every urgent care clinic within 20 miles of a site) Asset managers and leasing professionals who need to document the surrounding amenities and services for tenant presentations or marketing packages Developers and site selectors who are screening locations and need a fast, consistent way to compare what’s around each site In short: if you already know what you’re looking for and where, this task gives you a comprehensive, formatted dataset in minutes. Why It Matters Knowing what surrounds a property is fundamental to almost every CRE decision: acquisitions, development, leasing, asset management. The data shapes your underwriting assumptions, your marketing materials, and your investor presentations. You already know this. You’ve done the Google Maps research before. You’ve clicked into listings one at a time, copied addresses into spreadsheets, and manually sorted by distance. It’s not complex work. It’s just slow. The real blocker is bandwidth. When the research takes two hours, it competes with everything else on your plate. So the search gets scoped down (“just grab the top 10”), or it gets deferred entirely (“we’ll add the amenity analysis later”), or someone eyeballs it instead of documenting it. The deal moves forward with an incomplete picture. This task compresses that two-hour exercise into about five minutes. You get up to 200 locations with full contact details, ratings, and distances, formatted and ready to use. No manual deduplication, no row-by-row copying, no incomplete datasets because you ran out of time. That’s the multiplier. What the Output Looks Like The CSV file generated by thi