IndexingDupsLocalizedLocalizedClusterLinkBasedClusterInfo
Indexing DupsLink SignalGoogleApi.ContentWarehouse.V1.Model.IndexingDupsLocalizedLocalizedClusterLinkBasedClusterInfo
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
5fpOutlinksstringnilFull type: String.tA fingerprint of all outlink-URLs of this document that have been used as algorithmic input.
lastModifiedInputTimestampMsstringnilFull type: String.tThe last time the set of outgoing links of this document was modified. This is the input for our calculation.
lastProcessedOutputTimestampMsstringnilFull type: String.tThe last time the cross-validation of the links was done. Between that last timestamp and now, only cached results have been used.
nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.IndexingDupsLocalizedLocalizedClusterLinkBasedClusterInfoLinkMember.tAll verified members of the cluster (including recursive inclusions).
unvalidatedOutlinkIndexingDupsLocalizedLocalizedClusterLinkBasedClusterInfoLinkData →nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.IndexingDupsLocalizedLocalizedClusterLinkBasedClusterInfoLinkData.t