EmbedsDeepLinkData

EmbedsLink Signal

GoogleApi.ContentWarehouse.V1.Model.EmbedsDeepLinkData

2
out of 10
Low
SEO Impact
Deep-linking data is used to construct a deep-link URI for an activity or frame's embed, such that on click, the user is taken to the right place in a mobile app. If the app is not installed, the user is taken to the app store. If not on mobile, an analogous web uri is used.

SEO Analysis

AI Generated

Related to link analysis and anchor text processing. Links remain one of the strongest ranking factors in Google's algorithm. This model (Embeds Deep Link Data) contains 4 attributes that define its data structure. Key functionality includes: Application ID (or project ID) from Google API Console.

Actionable Insights for SEOs

  • Audit your backlink profile for anchor text diversity and relevance
  • Ensure internal linking uses descriptive, relevant anchor text
  • Monitor for unnatural link patterns that could trigger penalties

Attributes

4
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appIdstring
Default: nilFull type: String.t

Application ID (or project ID) from Google API Console.

clientEmbedsPackagingServiceClient →
Default: nilFull type: list(GoogleApi.ContentWarehouse.V1.Model.EmbedsPackagingServiceClient.t

The data for a Google API Console client is entered by a developer during client registration and is stored in PackagingService.

deepLinkIdstring
Default: nilFull type: String.t

The ID for non-URL content. Embeds may either have no analogous web presence or prefer a native mobile experience if supported. In the case of no web presence, instead of setting the "url" field of an embed, such developers will set this field and other content fields, e.g. thumbnail, title, description. If set, this field is used to construct the deep-link URI. Note that the native experience is preferred over the web link and the web link is used as a fallback.

urlstring
Default: nilFull type: String.t

Analogous web presence. Used as desktop fallback or when no native link data is present.