UrlPoisoningData

URL PoisoningSpam Detection

GoogleApi.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 Generated

Part 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

5
Sort:|Filter:
NotChangedTimeMsstring
Default: nilFull type: String.t

fetched from the web. Time when the page was last

OriginalCrawlTimeMsstring
Default: nilFull type: String.t

Time when the page was

ReuseTimeMsstring
Default: nilFull type: String.t

checked but found to be the same as before. If set, timestamp to indicate

numSpamSiblingsinteger(
Default: nil
urlstring
Default: nilFull type: String.t

when it is fetched from the repository. URL of the document for debugging