RepositoryWebrefMetaTagIndices

AI Overview😉

  • The potential purpose of this module is to analyze and index meta tags in web pages, specifically the "meta content tag segment" in the Cdoc (a format used by Google's Content Warehouse). This helps Google understand the content and structure of a webpage.
  • This module could impact search results by influencing how Google weights and ranks web pages based on their meta tags. For example, if a webpage has accurate and relevant meta tags, it may be considered more trustworthy and informative, leading to a higher ranking in search results. Conversely, if a webpage has missing, duplicate, or irrelevant meta tags, it may be penalized or demoted in search results.
  • A website may change things to be more favorable for this function by ensuring that their meta tags are accurate, relevant, and follow best practices. This includes using unique and descriptive meta titles, descriptions, and keywords that accurately summarize the content of each webpage. Additionally, websites can ensure that their meta tags are properly formatted and consistent across all pages, and that they avoid using duplicate or unnecessary meta tags.

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GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefMetaTagIndices (google_api_content_warehouse v0.4.0)

Identifies the source of the Meta Content Tag segment in the Cdoc https://www.w3schools.com/tags/tag_meta.asp

Attributes

  • index (type: integer(), default: nil) -
  • metaName (type: String.t, default: nil) -

Summary

Types

t()

Functions

decode(value, options)

Unwrap a decoded JSON object into its complex fields.

Types

Link to this type

t()

@type t() :: %GoogleApi.ContentWarehouse.V1.Model.RepositoryWebrefMetaTagIndices{
  index: integer() | nil,
  metaName: String.t() | nil
}

Functions

Link to this function

decode(value, options)

@spec decode(struct(), keyword()) :: struct()

Unwrap a decoded JSON object into its complex fields.