The Scenario
Someone on the product team pinged you with a spreadsheet attachment and a single line: "Can you tell me which countries we should localize for next?" The spreadsheet has your top 50 landing pages. No traffic data. No Search Console numbers. Just URLs.
You manage global content for a mid-market SaaS. You know the Search Console data exists — it's all there under the Countries dimension. What you don't have is the time to pull a separate export for each of the five or six countries that probably matter, join them, and figure out where the gaps are. The localization budget meeting is next Thursday.
The bad version:
- Open Search Console, switch to the Countries dimension, export the CSV for the last 90 days.
- Realize the export gives you aggregate country totals, not country-by-page breakdowns — so you can't match this back to the landing pages in the spreadsheet without a different export configuration.
- Try pulling the country dimension filtered by specific pages one at a time, realize this will take 50 exports, and start wondering if there's another way.
There is.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, connects to Google Search Console through its built-in integration, and pulls country-level performance data — including cross-tab analysis — based on a plain-language prompt.
Open the sheet with your landing page list. Paste this:
Pull Search Console data for my site for the last 90 days grouped by country, with clicks, impressions, CTR, and position, and write the results into my Google Sheet on a tab called "Country Performance"
What You Get
- Each country populates its own row with four metrics: Clicks, Impressions, CTR, Average Position.
- Countries are listed by the ISO 3166-1 alpha-2 code (e.g., "us", "de", "gb").
- The full dataset — not just the top 10 visible in the UI — writes into the sheet.
- If you asked for filtering by impressions threshold, only countries crossing that threshold appear.
- The tab is clean and ready for a pivot table or conditional formatting pass.
What If the Data Is Not Quite Ready
You need country data filtered to only your top landing pages
Pull Search Console performance for the last 90 days grouped by country and filtered to only pages that start with /product/, write the results into my "Country × Product Pages" tab with columns for country, page, clicks, impressions, CTR, and position
You want to flag countries with strong impressions but weak CTR for the localization team
Get country-level Search Console data for my site for last quarter, write it into the "Country Data" tab, and in a column called "Localization Signal" flag any country with over 2,000 impressions but under 1.8% CTR
The sheet already has a list of target countries and you want to match against it
Pull 90-day country-level performance from Search Console for my site, then match each country code against the target markets listed in column A of my "Target Countries" tab — write the matched metrics into columns B through E and leave unmatched rows blank
One prompt for the full localization scoping analysis
Pull Search Console country performance for my site for the last 90 days, write the full dataset into my "Country Performance" tab, then on a second tab called "Localization Brief" list only countries where impressions exceed 1,500 and CTR is under 2.5%, sort by impressions descending, and write a column that estimates click potential if CTR reached 4%
The click-potential calculation gives the localization team a concrete number to put in front of the budget decision.
Try It
Get the 7-day free trial of SheetXAI and open the Google Sheet where your site's content inventory or market targeting data lives. Ask it to pull country-level Search Console performance for any date range and flag the gaps. The data the localization budget conversation needs can be ready before Thursday. For related work, see keyword performance by query or the hub overview.