IndexingDupsLocalizedLocalizedClusterTargetLinkTargetDocData

Indexing DupsLink Signal

GoogleApi.ContentWarehouse.V1.Model.IndexingDupsLocalizedLocalizedClusterTargetLinkTargetDocData

10
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.