SEO segment impact report
Break a Search Console change into the segment that actually moved. This is useful when a property total hides one page group, country or device going in the opposite direction.
Install and run the report
Install the CLI once, then run seo start to connect your site and Google data. After setup you can run this report yourself or ask your agent to run it.
Install the SEO CLI globally.
npm i -g seoRun setup after installation.
seo startCompare matched periods by page, query, country, or device.
seo segment-impact --project exampleWhat you get from this report
Compare Search Console movement by page, query, country or device to find which segment explains a wider gain or loss across the selected dates.
- Best for
- A property-level rise or fall needs to be broken down by page or query.
- Needs
- Matched Search Console periods
- You get
- Compare Search Console movement by page, query, country or device to find which segment explains a wider gain or loss across the selected dates.
- Use next
- Investigate an organic traffic drop
Every report follows the same rules for missing data and outside estimates.See how report data works.
What you need before you run it
The report uses the information below. Optional sources are only used when you ask for them.
Matched Search Console periods
Provides returned rows for the chosen page, query, country, or device dimension.
Dimension and row limits
Define which segment to compare and how many matched or unmatched rows to retain.
Use a different report for these jobs
These jobs need a different report or a manual review.
Use the report with an agent or in code
The command above is enough for most work. These options let an agent, script or application run the same report with explicit input and structured output.
CLI
Use the report catalog when an agent, script or CI job needs predictable JSON instead of the normal terminal output. Check the current input first, then run the report with the validated parameters.
Check the current input before the agent or script runs the report.
seo reports describe segment-impact --jsonOnce the input is valid, run the report through the report catalog.
seo reports run segment-impact --params '{"site":"sc-domain:example.com","dimension":"page","days":28,"compareDays":28,"limit":20,"maxRows":50000,"unmatchedLimit":10}' --jsonMCP
An MCP agent follows the same two-step flow. It inspects the current schema, fills the required fields and only then runs the report.
Ask the MCP server for the current report input.
{
"id": "segment-impact"
}Run the report after the agent has checked and filled the input.
{
"id": "segment-impact",
"params": {
"site": "sc-domain:example.com",
"dimension": "page",
"days": 28,
"compareDays": 28,
"limit": 20,
"maxRows": 50000,
"unmatchedLimit": 10
}
}TypeScript
Install the package in a Node 22 project when your application needs to run the report directly. The result includes the same evidence, warnings and limits returned through the CLI and MCP server.
Add the SEO package to your project.
npm install seoRun the report from your TypeScript application.
import { executeReport } from 'seo/mcp'
const result = await executeReport(
'segment-impact',
{
"site": "sc-domain:example.com",
"dimension": "page",
"days": 28,
"compareDays": 28,
"limit": 20,
"maxRows": 50000,
"unmatchedLimit": 10
},
)
console.log(result)What to do next
Use the segment that explains the movement to choose a narrower investigation. Keep the rest of the property out of the conclusion until its pages, queries, country or device evidence shows the same pattern.
- 01Audit the pages behind the largest supported changes.
- 02Run traffic anomaly or update correlation when timing still needs context.
Related reports
Find unusual Search Console movement, identify the pages and queries behind it and compare the dates with confirmed Google updates before a deeper check.
Audit one URL for technical SEO, metadata, canonicals, schema, links and Search Console queries. See the live evidence before changing the page.
Compare unusual Search Console traffic dates with confirmed Google ranking updates without treating a matching date as proof of what caused the change.
Sources used by this report
These primary sources define the provider data or search controls used by the result.