IndexingDupsLocalizedLocalizedClusterTargetLinkSets
Indexing DupsLink SignalGoogleApi.ContentWarehouse.V1.Model.IndexingDupsLocalizedLocalizedClusterTargetLinkSets
SEO Analysis
AI GeneratedPart of Google's duplicate content detection system. Shingling is a technique used to identify near-duplicate content by comparing content fingerprints. Duplicate content can cause ranking issues as Google must choose a canonical version. This model helps Google identify and handle duplicate pages, which directly affects which version of content ranks.
Actionable Insights for SEOs
- Monitor for changes in rankings that may correlate with updates to this system
- Consider how your content strategy aligns with what this signal evaluates
- Audit your backlink profile for anchor text diversity and relevance
- Ensure internal linking uses descriptive, relevant anchor text
- Monitor for unnatural link patterns that could trigger penalties
Attributes
2directTargetLinkIndexingDupsLocalizedLocalizedClusterTargetLink →nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.IndexingDupsLocalizedLocalizedClusterTargetLink.tDirect links are the simplest scenarios where A simply links to B.
indirectTargetLinkIndexingDupsLocalizedLocalizedClusterTargetLink →nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.IndexingDupsLocalizedLocalizedClusterTargetLink.tRepeated field for URLs that are not directly linking to the document TargetLink refers to. We can encounter the following scenario: A -> Links to B -> links to C (i.e. without (A) linking to (C)). In the context of B, indirect_inclusion would include the link to 'C' but not the link back to 'A'.