# Target Search Queries with Cannibalizing Pages
**Priority**: Critical
**Impact**: Negative
## What issues it may cause
Cannibalizing pages compete against each other for the same target query, diluting your ranking potential. Instead of one well-supported page ranking strongly, neither page receives the full signal it needs, reducing your chances of ranking competitively.
## How do you fix it
- Review the two competing pages and determine which best serves the intent of the target query
-
Consolidate content onto the stronger page and redirect the weaker one, or differentiate the pages so they clearly
target distinct intents
- Update the title, H1, and meta description of the chosen page to clearly reflect the target query
-
Use Page Relevance diagnostics to compare the component-level scores of both pages before deciding which to
consolidate onto
## What is the positive impact
Resolving cannibalization consolidates relevance signals behind a single page, giving it a stronger foundation to rank for your target query and reducing intent confusion for both users and search engines.
## How to fetch the data for this report template
You will need to run a crawl for report template to generate report. When report has been generated and you have
crawl id you can fetch data for the report using the following query:
```graphql
query GetReportStatForCrawl(
$crawlId: ObjectID!
$reportTemplateCode: String!
$after: String
) {
getReportStat(
input: {crawlId: $crawlId, reportTemplateCode: $reportTemplateCode}
) {
crawlSearchQueries(after: $after, reportType: Basic) {
nodes {
searchQuery
primaryLandingPageUrl
searchVolume
searchQueryRelevance
primaryLandingPageClicksShare
landingPagesCount
landingPagesSummary
}
totalCount
pageInfo {
endCursor
hasNextPage
}
}
}
}
```
**Variables:**
```json
{"crawlId":"TjAwNUNyYXdsNDAwMA","reportTemplateCode":"target_search_queries_with_cannibalizing_pages"}
```