# 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 ## 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"} ```