GoogleCloudContentwarehouseV1SearchDocumentsResponseMatchingDocument
Content Warehouse V1Search InfrastructureGoogleApi.ContentWarehouse.V1.Model.GoogleCloudContentwarehouseV1SearchDocumentsResponseMatchingDocument
SEO Analysis
AI GeneratedCore search serving infrastructure. While not a direct ranking signal, these systems process and serve search results. This model (Google Cloud Contentwarehouse V1 Search Documents Response Matching Document) contains 4 attributes that define its data structure. Key functionality includes: Document that matches the specified SearchDocumentsRequest. This document only contains indexed metadata information.
Actionable Insights for SEOs
- Understanding this model helps SEOs grasp Google's internal data architecture
- Consider how this system might interact with other ranking signals
Attributes
4nilFull type: GoogleApi.ContentWarehouse.V1.Model.GoogleCloudContentwarehouseV1Document.tDocument that matches the specified SearchDocumentsRequest. This document only contains indexed metadata information.
matchedTokenPageIndicesstringnilFull type: list(String.tReturn the 1-based page indices where those pages have one or more matched tokens.
nilFull type: GoogleApi.ContentWarehouse.V1.Model.GoogleCloudContentwarehouseV1QAResult.tExperimental. Additional result info if the question-answering feature is enabled.
searchTextSnippetstringnilFull type: String.tContains snippets of text from the document full raw text that most closely match a search query's keywords, if available. All HTML tags in the original fields are stripped when returned in this field, and matching query keywords are enclosed in HTML bold tags. If the question-answering feature is enabled, this field will instead contain a snippet that answers the user's natural-language query. No HTML bold tags will be present, and highlights in the answer snippet can be found in QAResult.highlights.