RepositoryWebrefProductMetadata

Repository WebrefEntity Understanding

GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefProductMetadata

7
out of 10
High
SEO Impact
Products-specific information about the entity. Only available in QrefMetadata output. Next available tag: 16.

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

3
Sort:|Filter:
productLineIdstring
Default: nilFull type: list(String.t

Shopping product line ids (typically moka product line tag) of this entity. Represents shopping product lines, such as iPhone or Canon EOS. Typically, we expect only one id. But keeping repeated, in case we want to merge or aggregate product lines. Using int64, as tag_id in commerce/datastore/processors/moka/proto/moka_annotations.proto.

shoppingIdsKnowledgeAnswersIntentQueryShoppingIds →
Default: nilFull type: GoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersIntentQueryShoppingIds.t

All ShoppingIds for this MID that need to be copied to IntentQuery (FunctionCall) if this MID is used in intent generation. See go/iql-shopping-ids for details.

variantClusterIdstring
Default: nilFull type: list(String.t

All unique variant cluster ids (shopping's GPCs) of this entity.