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Google Search Console · Excel Guide

Pull Country-Level Search Performance From Search Console Into a Excel workbook

2026-05-14
5 min read

The Scenario

Someone on the product team sent you a spreadsheet with your top 50 landing pages and a single line: "Can you tell me which countries we should localize for next?" The spreadsheet has URLs. No traffic data. No Search Console numbers.

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 in Excel, 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, discover 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 Excel workbook. It reads the workbook, connects to Google Search Console through its built-in integration, and pulls country-level performance data based on a plain-language prompt.

Open the workbook with your landing page list. Paste this:

Get Google Search Console performance broken down by country for my site for last quarter and populate my Excel workbook — show me which countries have the most impressions but weakest CTR

What You Get

  • Each country populates its own row with four metrics: Clicks, Impressions, CTR, Average Position.
  • Countries are listed by 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 workbook.
  • If you asked for filtering by impressions threshold, only countries crossing that threshold appear.
  • The workbook 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" worksheet 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" worksheet, and in a column called "Localization Signal" flag any country with over 2,000 impressions but under 1.8% CTR

The workbook 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" worksheet — 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" worksheet, then on a second worksheet 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 Excel workbook where your market targeting or content planning 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.

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