The Scenario
You run BI reporting for a SaaS company. Every Friday you distribute a workbook to five stakeholders — each tab has a different SQL query's results: signups by cohort, churn by plan, revenue by region, top accounts by NRR, feature adoption by segment. The queries live in cells A2 through A6 of a control tab. The output tabs are named for the query labels in column B.
Right now you run each query in the BigQuery console one at a time, copy the results, paste them into the right tab, fix the headers, then move to the next one. Five queries, thirty minutes, every Friday, forever.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet. It can read a list of SQL queries stored in your cells, execute each against BigQuery, and route every result set to the named tab — in a single instruction.
For each SQL query in column A of my Google Sheet, run it against BigQuery and write the results into a new tab named after the label in column B, starting at row 1 with headers
What You Get
- Each query in column A runs against BigQuery in sequence.
- Results land in a tab named exactly as specified in the corresponding cell in column B — created if it doesn't exist, overwritten if it does.
- Headers in row 1, data from row 2 onward in each tab.
- If a query fails, SheetXAI writes the error into the tab instead of silently skipping, so you know which one to fix.
What If the Data Is Not Quite Ready
You only want to run specific queries, not all of them
Run the BigQuery queries in cells A2 and A4 of my Google Sheet (skip A3, A5, A6) and write each result set into the tab named in B2 and B4 respectively, starting at row 1 with headers.
The result tabs already exist and you want to clear them first
For each SQL query in column A of my Google Sheet, clear the existing tab named in column B, then run the query against BigQuery and write the fresh results starting at row 1 with headers.
One of the queries needs a date parameter injected from a cell
Run the BigQuery queries in column A of my Google Sheet, but replace the placeholder '{{report_date}}' in each query with the date in cell D1, and write each result to the tab named in column B with headers.
Run all five queries, write results, then add a summary tab with row counts
For each SQL query in column A of my Google Sheet, run it against BigQuery and write results to the tab in column B with headers. After all queries complete, create a tab called 'Summary' with three columns: query label (from column B), row count returned, and status (success or error message).
The full batch — queries, results, and a summary log — in one instruction.
Try It
Get the 7-day free trial of SheetXAI and open the Google Sheet where you store your recurring BigQuery queries — point SheetXAI at the query cells, tell it which tabs to write into, and let it run the batch. Also see pulling a single query result into a sheet or return to the Google BigQuery integration overview.