KnowledgeAnswersIntentQueryParsingSignals
Knowledge AnswersRanking SignalGoogleApi.ContentWarehouse.V1.Model.KnowledgeAnswersIntentQueryParsingSignals
SEO Analysis
AI GeneratedRelated to Google's Knowledge Graph and answer systems. The Knowledge Graph powers knowledge panels, featured snippets, and direct answers in search results. This model processes entity relationships, factual data, and structured knowledge that Google uses to provide direct answers to user queries, affecting featured snippet eligibility.
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's quality signals to ensure alignment with Google's quality assessment criteria
- Focus on E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) improvements
Attributes
5calibratedParsingScorefloat(nilA parsing score that is independently calibrated by each parser/IG, used by pre-fulfillment ranker, see http://go/prefulfillment-ranker.
effectiveArgSpanLengthnumber(nilThe total effective length of the spans for the arguments used to construct the parse. May include vertical specific adjustments. Eg: For the query [delete my 7 p.m. alarm called chicken] and intent Delete_alarm(alarm_object=RD(category=AlarmObject( label="chicken", trigger_time_datetime=<< 7 PM >>))), the effective argument span is "7 p.m." + "chicken" (total length of 13).
inQueryMaxEffectiveArgSpanLengthnumber(nilThis is a cross-intent feature which is calculated by iterating all intent candidates. This feature should be populated in post-IG stage (before GB).
qrewriteCallPathInfoFingerprintstringnilFull type: String.tThis proto holds the fingerprint of the call path info of QRewrite client (e.g. the QUS's phase like "RBT","QBT"; the QUS's candidate type like "Identity"; and the ACE's candidate type like "FuzzyMatcher").
sourcestringnilFull type: String.tThe parser that calibrated the parsing score below.