IndexingEmbeddedContentRenderingOutputMetadata
Indexing EmbeddedIndexingGoogleApi.ContentWarehouse.V1.Model.IndexingEmbeddedContentRenderingOutputMetadata
SEO Analysis
AI GeneratedControls how pages are indexed. Without proper indexing, pages cannot appear in search results at all. This model (Indexing Embedded Content Rendering Output Metadata) contains SEO-relevant attributes including refresh, renderTreeQualityScore, snapshotQualityScore. Key functionality includes: The exceptions observed during the rendering. In bit-field encoding of enum values of RenderResponse.RenderingException.
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
- Optimize crawl budget by fixing broken links and reducing redirect chains
- Use robots.txt and sitemap.xml effectively to guide crawling
- Monitor Google Search Console for crawl errors and indexing issues
Attributes
20nilFull type: GoogleApi.ContentWarehouse.V1.Model.IndexingEmbeddedContentRenderRequestConfigConfigParams.texceptionsstringnilFull type: String.tThe exceptions observed during the rendering. In bit-field encoding of enum values of RenderResponse.RenderingException.
experimentalRenderTimeMsecinteger(nilTotal GCU time for rendering the document in millisecond. This data is from render_stats.render_cost_mgcu in RenderResponse proto. Note that this is experimental field. Please check with rendering-infra@ if you want to use.
generationTimestampsIndexingEmbeddedContentOutputGenerationTimestamps →nilFull type: GoogleApi.ContentWarehouse.V1.Model.IndexingEmbeddedContentOutputGenerationTimestamps.timportanceinteger(nilThe importance value of the rendered document.
lastNewContentProbingTimestampinteger(nilThe timestamp of last new content probing.
newTokensPercentageAfterRenderingfloat(nilPercentage of new tokens in the rendered the document content.
numNewTokensFoundInRenderinginteger(nilrefreshboolean(nilrenderCacheStatsIndexingEmbeddedContentRenderCacheStats →nilFull type: GoogleApi.ContentWarehouse.V1.Model.IndexingEmbeddedContentRenderCacheStats.tA collection of fields to track stats on cache use in the Rendering microservice.
renderEnginestringnilFull type: String.trenderEventHtmlrenderWebkitHeadlessProtoRenderEvent →nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.HtmlrenderWebkitHeadlessProtoRenderEvent.tDifferent types of events which happened during rendering.
renderServerClstringnilFull type: String.tThe CL from which the render engine was built.
renderTreeQualityScorefloat(nilrenderedSnapshotSignaturestringnilFull type: String.tShort signature (usually less than 1 KB) which captures a perceptual hash on the rendered image. This is used to determine whether successive renderings should be output. See the library in googlen/snapshot/shared/similarity.* for more info about how this value is interpreted and used.
renderedTimeUsecstringnilFull type: String.tCurrent time in microseconds the document is going through rendering system. This field is set regardless of whether the document is being rendered or if we are skipping rendering by using a cache.
renderingFetchStatsIndexingEmbeddedContentRenderingFetchStats →nilFull type: GoogleApi.ContentWarehouse.V1.Model.IndexingEmbeddedContentRenderingFetchStats.tselectionResultIndexingEmbeddedContentSelectionResult →nilFull type: GoogleApi.ContentWarehouse.V1.Model.IndexingEmbeddedContentSelectionResult.tThe corpus selection result. Can be used for offline analysis.
snapshotQualityScorefloat(nilThese scores are copied from htmlrender_webkit_headless_proto.Document.
withMissingResourcesboolean(nilTrue if there were any missing resources during the rendering.