IndexingDupsLocalizedLocalizedClusterTargetLinkTargetDocData

Indexing DupsLink Signal

GoogleApi.ContentWarehouse.V1.Model.IndexingDupsLocalizedLocalizedClusterTargetLinkTargetDocData

out of 10

Critical

SEO Impact

Information about the URLs being validated.

SEO Analysis

AI Generated

Part 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

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contentLanguagestring

Default: nilFull type: String.t

The detected on-page content language of the document.

crawlStatusstring

Default: nilFull type: String.t

crawlTimestampSecondsinteger(

Default: nil

The timestamp of the last crawl attempt from crawl_timestamp column.

isCanonicalboolean(

Default: nil

Whether the URL being validated is canonical at the time of processing.

outgoingLinkDataIndexingDupsLocalizedLocalizedClusterTargetLinkLink →

Default: nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.IndexingDupsLocalizedLocalizedClusterTargetLinkLink.t

Repeated field for data about the outgoing hreflang links that appear in the document that the currently processed URL refers to.