The Scenario
The model is almost done. Your neighborhood amenity scoring framework has been six weeks in the making — walkability proxies, transit access scores, demographic layers. The last piece is ground-level business density: coffee shops, pharmacies, gyms, grocery stores, by neighborhood.
You have 120 location queries in column A. "Coffee shops near Midtown Manhattan." "Pharmacies near Logan Square Chicago." Every row, a different neighborhood and category.
The bad version:
- Open Google Maps, paste the first query, scroll through the results, record the top five business names, ratings, addresses into a separate notes doc
- Switch back to the sheet, find the right row, paste the five entries across fifteen columns
- Lose your place when a colleague pings you and spend five minutes figuring out which row you were on
The amenity layer is the last blocker before this model goes to the investment committee. Spending four hours on manual Maps lookups is not a line item that exists in this project.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet. It reads your location queries from column A, calls Serply's Maps search endpoint for each one, and fills in the business data across the next columns — all in one pass.
For each location query in column A, search Google Maps via Serply and fill in the top 5 business names, addresses, and ratings into the next 15 columns
What You Get
- Columns B, C, D — name, address, and rating for the top Maps result per query
- Columns E through P — the same three fields for results two through five
- Queries that return fewer than five results leave the remaining columns blank — you can see the coverage gaps immediately
- Ratings come back as numeric values — ready for your scoring model without reformatting
What If the Data Is Not Quite Ready
I only want results above a certain rating threshold
For each query in column A, search Google Maps via Serply and write only the businesses with a rating of 4.0 or higher; fill in name, address, rating, and phone number into columns B through E for the first matching result
Some queries span multiple neighborhood variants I have in a second tab
For each base query in column A on the "Queries" sheet, also search each neighborhood variant listed in columns B and C on the same sheet via Serply Maps; write the highest-rated result's name and rating into columns D and E
I need to dedup — some queries are returning the same chain location multiple times
For each query in column A, search Google Maps via Serply, but if the same business name appears more than once in the results, keep only the first occurrence; write the deduplicated top 5 business names and ratings into the next 10 columns
Full enrichment pass: search, filter, score, and flag sparse neighborhoods in one shot
For each query in column A, search Google Maps via Serply and pull the top 5 results; write name, rating, and address into columns B through P; calculate the average rating of the five results into column Q; and flag any row where fewer than 3 results were returned with "Sparse" in column R
One prompt does the data pull, the aggregation, and the quality flag together — nothing to reassemble after the fact.
Try It
Open your neighborhood research sheet with location queries in column A and get the 7-day free trial of SheetXAI. Ask it to run Serply Maps lookups for each row and fill in business names and ratings. You can also explore pulling Google Scholar results with Serply or see the full Serply integration guide.