The Scenario
You are a market researcher at a venture capital firm. Your team has compiled 80 portfolio company domains in a Google Sheet, one domain per row in column A. The partners want a market map: industry vertical, employee headcount, annual revenue estimate, and funding stage for each company, ready before the Wednesday LP update.
Monday morning. Two days.
The slow version:
- You open Apollo's organization search, look up the first domain, copy industry and headcount back to the sheet
- You do the same for the second domain. The third. Row by row.
- By row fifteen you have checked three other data sources to fill in blanks Apollo did not have
- By row forty your spreadsheet formula references are out of sync because you inserted a column
- You send a half-complete market map on Wednesday with a note that "a few rows need manual review."
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your spreadsheet that reads the domain column, calls Apollo's organization enrichment for each row, and writes the results back into the right columns without you touching a single lookup.
Open the SheetXAI sidebar and type:
Enrich each domain in column A using Apollo's bulk organization enrichment. Write industry into column B, employee count into column C, annual revenue into column D, headquarters city into column E, and founding year into column F. If Apollo has no record for a domain, write "Not found" in column B and leave the other columns blank.
SheetXAI reads all 80 rows, sends the organization enrichment requests to Apollo, and fills in columns B through F. The Wednesday market map is done by Monday afternoon.
What You Get
An 80-row market map with:
- Column B — industry vertical from Apollo's taxonomy
- Column C — current employee headcount
- Column D — annual revenue estimate
- Column E — headquarters city
- Column F — founding year
Rows Apollo could not match are explicitly flagged, not silently left blank. You know exactly which companies need a manual lookup.
Want LinkedIn URLs instead of founding year? Change the prompt. Want to add funding stage and latest round size? Add them in the same instruction.
What If the Data Is Not Quite Ready
Domain lists sourced from multiple places are rarely clean. SheetXAI handles the cleanup and the enrichment together.
When domains have inconsistent formatting
Some rows say "https://acme.com/about," some say "www.acme.com," some just say "acme." Apollo needs bare domains.
Normalize every value in column A to a bare domain (no protocol, no www, no path). Then enrich each domain using Apollo's organization enrichment and write industry, employee count, annual revenue, city, and founding year into columns B through F.
When the partners want companies grouped by funding stage after enrichment
The market map needs to be segmented by stage, not listed in the original order.
Enrich every domain in column A using Apollo organization enrichment — write industry, employee count, annual revenue, city, and funding stage into columns B through F. Then sort the rows by funding stage in ascending order (Seed first, then Series A, B, C, and later). Keep the domain in column A aligned with each enriched row after sorting.
When you only need companies above a headcount threshold
The LP update focuses on growth-stage companies. Smaller companies are out of scope.
Enrich every domain in column A using Apollo organization enrichment and write employee count into column B. Then, for rows where column B is 100 or more, write industry, annual revenue, city, and funding stage into columns C through F. For rows below 100, write "Below threshold" in column C and leave D through F blank.
When the list needs deduplication and full enrichment in one operation
Three team members contributed to the list and there are duplicates, formatting differences, and some empty rows mixed in.
Remove duplicate domains from column A, keeping the first occurrence of each. Remove any blank rows. Normalize all remaining domains to bare format. Then enrich every remaining row using Apollo organization enrichment and write industry, employee count, annual revenue, city, founding year, and LinkedIn URL into columns B through G.
The pattern: one prompt cleans the list and fills the market map. You review the output, not the process.
Try It
Get the 7-day free trial of SheetXAI and open any sheet of company domains, then ask it to enrich each row with Apollo organization data. The Apollo integration is included in every SheetXAI plan. For related workflows, see how to bulk-create accounts in Apollo from a sheet or the Apollo in Google Sheets overview.