ResearchScienceSearchNavboostQueryInfo
ResearchRanking SignalGoogleApi.ContentWarehouse.V1.Model.ResearchScienceSearchNavboostQueryInfo
SEO Analysis
AI GeneratedThis model is part of Google's NavBoost system, which uses click-through data and user interaction signals to adjust search rankings. NavBoost is one of the most significant confirmed ranking systems, processing user engagement data to determine which results best satisfy search queries. It likely tracks metrics related to user clicks, dwell time, and satisfaction signals that directly influence where pages appear in search results.
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
5impCountnumber(nilimp_count stores an estimate of the number of impressions for this tuple.
lccCountnumber(nillcc_count stores an estimate of the number of long clicks for this tuple. NOTE: It is similar to query_doc_count, but calculated in different manner.
querystringnilFull type: String.tThe query string.
queryCountnumber(nilThe query_count stores the counts on this query.
queryDocCountnumber(nilThe query_doc_count stores the number of long-clicks on this pair.