UrlPoisoningData
URL PoisoningSpam DetectionGoogleApi.ContentWarehouse.V1.Model.UrlPoisoningData
8
out of 10
High
SEO Impact
Url poisoning information. This information is sparse: if num_spam_siblings is not populated, none of the following fields will be populated. Next tag: 6
SEO Analysis
AI GeneratedPart of Google's anti-spam systems. These models help identify and demote spammy content, affecting site visibility. This model (Url Poisoning Data) contains SEO-relevant attributes including numSpamSiblings. Key functionality includes: fetched from the web. Time when the page was last
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 site for any practices that could be flagged as spam
- Ensure content is original, valuable, and not auto-generated at scale
- Review link building practices for compliance with Google's guidelines
Attributes
5Sort:|Filter:
NotChangedTimeMsstringDefault:
nilFull type: String.tfetched from the web. Time when the page was last
OriginalCrawlTimeMsstringDefault:
nilFull type: String.tTime when the page was
ReuseTimeMsstringDefault:
nilFull type: String.tchecked but found to be the same as before. If set, timestamp to indicate
numSpamSiblingsinteger(Default:
nilurlstringDefault:
nilFull type: String.twhen it is fetched from the repository. URL of the document for debugging