RepositoryWebrefPerDocRelevanceRating

Repository WebrefEntity Understanding

GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefPerDocRelevanceRating

7
out of 10
High
SEO Impact
Per document ratings relevance ratings. Next id: 21.

SEO Analysis

AI Generated

Part of Google's entity understanding system (WebRef). This system identifies and links entities—people, places, things, concepts—within web content to Google's Knowledge Graph. Entity recognition is fundamental to semantic search, helping Google understand content meaning beyond keywords and match it to relevant queries.

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
  • Build topical authority through comprehensive, entity-focused content
  • Implement structured data to help Google understand entities on your pages
  • Create content that clearly establishes entity relationships

Attributes

10
Sort:|Filter:
contentRelevantstring
Default: nilFull type: String.t
displayStringstring
Default: nilFull type: String.t

How this rating is displayed in the evals, pre-computed from the other fields.

furballUrlstring
Default: nilFull type: String.t

The url of the ewok task that resulted in this rating. Example: https://furball.corp.google.com/project/view-item?itemId=1&projectId=2

itemIdstring
Default: nilFull type: String.t
pageIsAboutChainstring
Default: nilFull type: String.t

If the topic is about a business chain, whether the

projectIdstring
Default: nilFull type: String.t

Metadata for task-level ratings. Not filled for aggregated doc-level ratings.

raterCanUnderstandTopicboolean(
Default: nil

Whether rater can understand the topic.

Default: nilFull type: GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefTaskDetails.t
taskIdstring
Default: nilFull type: String.t
topicIsChainstring
Default: nilFull type: String.t

Whether the topic is about a business chain.