ScienceIndexSignal
Science IndexIndexingGoogleApi.ContentWarehouse.V1.Model.ScienceIndexSignal
SEO Analysis
AI GeneratedControls how pages are indexed. Without proper indexing, pages cannot appear in search results at all. This model (Science Index Signal) contains SEO-relevant attributes including IndexSelectionScore. Key functionality includes: Fingerprint of the html title of the page. This is useful for checking if we have the same version of the page as websearch.
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
13HtmlTitleFpstringnilFull type: String.tFingerprint of the html title of the page. This is useful for checking if we have the same version of the page as websearch.
IndexSelectionScorenumber(nilIndex selection score for websearch, bigger is better: (0.5,1.0] - prefer selection into the base index, (0.0,0.5] - prefer selection into the supplemental index.
NumBackwardLinksinteger(nilSummary statistics.
NumRelatedinteger(nilNumVersionsinteger(nilPublicationDayinteger(nilPublicationMonthinteger(nilPublicationYearinteger(nilPublication date.
RemoveLinkboolean(nilRemove this URL from the index - error page, broken landing page, etc. DEPRECATED, was never used or even filled correctly.
ScholarIdstringnilFull type: String.tFor links from websearch to scholar.
TitlestringnilFull type: String.tTitle of the article. Its only filled in when the html title of the page isn't good.
VisiblePrefixTermsinteger(nilLength of document prefix that most users are likely to see. Only filled in when we index subscription fulltext but most users see abstracts. This is a conservative guesstimate - e.g., ACM shows fulltext to university/company subscribers (including Google employees) based on user's IP address, but we don't know subscriber IPs, so ACM's PDF pages would have ~500 in this field (estimated length of abstract).
nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.ScienceIndexSignalAuthor.t