The Scenario
It's Wednesday afternoon. You're three weeks into a new engagement with an e-commerce client, and the first real deliverable — a keyword opportunity analysis — is due Friday. You've been given access to their Search Console property. What you haven't been given is a clean export.
You open Search Console and start navigating. Queries view, last 90 days. You can see the top 1,000 rows in the UI. Export. Open the CSV. The header row has quotes around everything. The CTR column is formatted as a string, not a percentage. The position column has eight decimal places.
The bad version:
- Export the CSV, open it in Excel to clean it, save it as a new CSV, then import that into your sheet — because the Search Console export format doesn't paste cleanly.
- Realize 1,000 rows isn't the full dataset and you need to pull additional pages from the API manually, which means a second tool and a second cleanup pass.
- Spend 45 minutes on formatting before you've done a single moment of actual analysis.
The deliverable goes to a client on Friday. Spending the bulk of Wednesday afternoon on data wrangling is budget that isn't coming back.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads whatever's in the sheet, connects to your Google Search Console property through its built-in integration, and writes the results back — based on a plain-language prompt.
Open your Google Sheet with the site's tracking columns already in place. Then paste this:
Pull all search analytics data from Google Search Console for my site sheetxai.com for the last 90 days, grouped by query, showing clicks, impressions, CTR, and average position, and write it into my Google Sheet starting at row 2 of the "Query Data" tab
What You Get
- Each unique query populates its own row starting at row 2 of the "Query Data" tab.
- Columns land in order: Query, Clicks, Impressions, CTR, Average Position.
- CTR is written as a decimal (e.g., 0.043) — format the column as percentage in Sheets if needed.
- Position is rounded to two decimal places. No trailing-zero noise.
- If a query returned zero clicks it still appears, so impression-only opportunities surface cleanly.
What If the Data Is Not Quite Ready
The site has multiple URL prefixes and you're only seeing partial data
Pull search analytics data from Google Search Console for https://sheetxai.com/ for the last 90 days grouped by query, write clicks, impressions, CTR, and position into columns A through D of my "All Queries" tab, and also pull the same data for http://sheetxai.com/ into the same tab starting below the first dataset so I can compare
The sheet already has headers and you don't want them overwritten
Pull 90-day query performance from Search Console for my site and write the data into the "Query Data" tab starting at row 2 — skip any rows where a header is already populated, and don't write to row 1
You need only queries above a minimum impression threshold
From Google Search Console, pull all queries for my site over the last 90 days that have at least 100 impressions, sorted by impressions descending, and write them into my "High-Impression Queries" sheet with columns for query, clicks, impressions, CTR, and position
You want the full enrichment in one shot — filter, flag, and format
Pull 90-day query data from Search Console for my site, write it into column A through E of my "Keyword Analysis" tab starting at row 2, then in column F write "Opportunity" if CTR is below 3% and impressions are above 200, "Top Performer" if CTR is above 8%, and "Baseline" otherwise — also calculate average position for the Opportunity group at the bottom of the tab
One prompt does the data pull, the classification logic, and the summary calculation.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet where you're tracking organic search performance. Ask it to pull the query dataset you need, sorted and filtered the way your analysis requires. Then link your client's reporting tab to it directly. For related workflows, see how to export page-level performance or pull country-level data from Search Console into Google Sheets.