Intelligent Content Recommendations: Driving Engagement and Business Outcomes in AEM Sites

[#1]

Request for Feature Enhancement (RFE) Summary:	Implement an intelligent content recommendation engine to leverage AI and machine learning to suggest relevant content for each page, driving increased engagement and business outcomes.
Use-case:	Marketers need a way to deliver the most relevant and engaging content to users based on their behavior, interests, and the current context. By providing AI-powered content recommendations, AEM Sites can help surface the most impactful content to drive conversions and achieve business goals.
Current/Experienced Behavior:	Currently, marketers must manually curate and select content for each page, which can be time-consuming and may not always align with user preferences. There is no automated way to surface top-performing content or make recommendations based on user behavior and business rules.
Improved/Expected Behavior:	With the intelligent content recommendation engine, AEM Sites would analyze user interactions, content performance metrics, and contextual data to suggest the most relevant content for each page. Marketers could set business rules to prioritize certain content types or topics, and track the engagement and revenue impact of AI-recommended content. The system would learn and optimize recommendations over time based on user interactions, providing valuable insights to marketers on content performance and opportunities for improvement.
Environment Details (AEM version/service pack, any other specifics if applicable):	AEM + Adobe Experience Platform + RT CDP
Customer-name/Organization name:
Screenshot (if applicable):
Code package (if applicable):

[#2]

Well described !

In the landscape of Content Creation ,Authors encounter various challenges.
However there journey is marked by various hurdles , from writer's block to maintaining consistency .They face obstacles like content accuracy , relevancy ,discoverability that hinders their creativity.This make them difficult to maintain quality and quantity equilibrium.

Admitting all these challenges we come up with a solution that leverage AI which allivates content authors burdens and empower them as a content creator . Feel free to connect to know more about the solution.

[#3]

@gkalyan 

Thanks for proposing this idea

This has been reported to the engineering under the internal reference SITES-22123. 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.

[#4]

@gkalyan Could you please help us with more information on which customer is asking for this?

[#5]

@kautuk_sahni This is a pain point for most of the teams who are working on content creation with no sight on the ROI their content is making or any stats id their content is being really useful to the user. but no one realizes this as there is no proper tool. So, I framed this request from a usability and business outcome enhancement standpoint rather than for any particular customer/company.

[#6]

That's right @kautuk_sahni, this isn't targeted towards any particular client, but we've identified a significant pain point. I recognize that Adobe has introduced GenStudio, which can assist in generating various content variations ;
however, it does have some constraints, such as:

• It is exclusively available through Adobe as a Cloud , offering no options for on-premises clients.
• It lacks the ability to connect with other available LLMs.
• There is no option for implementing client specific customized guardrails.

As AI continues to progress rapidly, clients are seeking adaptable and versatile solutions that can seamlessly integrate with AEM.

For your information, we are working on such accelerator that includes all these features, and I would be glad to discuss this in more detail.

[#7]

@gkalyan @avesh_narang Added these comments to the internal ticket.