IndexingDupsLocalizedLocalizedClusterCluster
Indexing DupsIndexingGoogleApi.ContentWarehouse.V1.Model.IndexingDupsLocalizedLocalizedClusterCluster
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
- Optimize crawl budget by fixing broken links and reducing redirect chains
- Use robots.txt and sitemap.xml effectively to guide crawling
- Monitor Google Search Console for crawl errors and indexing issues
Attributes
7clusterIdstringnilFull type: String.tThe cluster id, a unique int64 id for the cluster.
clusterTypestringnilFull type: String.tdeprecatedDebugInfostringnilFull type: list(String.tDebug Info being attached to each cluster, to understand how it was created. That info is stored in Alexandria, but not available during serving.
filteringEnabledboolean(nilIndicates that filtering can be applied on the category (if many results of one cluster show up on the SERP, only one should be kept).
languagestringnilFull type: String.tThe language as represented by the URL, e.g. 'use this document on the cluster for German queries'.
regionCodeinteger(nilSame as language, except for the country. This is the Stable Region Code. This value may be UNKNOWN even though the URL region code is known, namely when the known region code was the main region for the language and for that language no other region is specified (e.g. de-DE being the only german variation). Unknown Region Code
urlRegionCodeinteger(nilSimilar to region_code, but always has the value filled in if known. Unknown Region Code