This RFE proposes integrating AI capabilities into AEM to assist content creators with curation and content suggestion functionalities.
Use-case:
Content creators often spend significant time searching for relevant assets and information to build compelling content pieces. This can be particularly challenging when managing large content repositories.
Current/Experienced Behavior:
Content creators rely on manual searches and browsing through folders and tags to locate relevant assets.
This process can be time-consuming and inefficient, especially for complex content structures.
Improved/Expected Behavior:
Integrate AI-powered content suggestion features within the AEM authoring environment.
As a content creator drafts their content, the AI suggests relevant assets (images, text snippets, related articles) based on the current context.
The AI considers factors like keywords, themes, content type, and past user behavior to deliver personalized suggestions. Additionally:
Explore the possibility of AI-powered content curation tools within AEM.
These tools could automatically generate summaries of existing content pieces, recommend best placements for specific assets within webpage layouts, or even suggest content refresh schedules based on performance data.
Environment Details (AEM version/service pack, any other specifics if applicable):
This has been reported to the engineering under the internal reference SITES-22134. The product team will triage this request to verify feasibility based on the prioritization model. This post will be updated according to the Jira request status.