Content analytics as part of content creation

A method comprising:

• outputting, by a processing device, an analytics user interface including:
• a representation of an item of content;
• a plurality of options configured to support edits to the item of content;
• a plurality of content features of the item of content extracted using a plurality of machine-learning models configured as classifiers that are trained for identifying respective content features of the plurality of content features;
• and
• performance indicators associated with the content features, the performance indicators quantifying performance of the respective said content features towards achieving an action;
• receiving, by the processing device, an input via the user interface to edit at least one said content feature of the item of content;
• editing, by the processing device, the at least one said content feature of the item of content based on the input;
• updating, by the processing device, the performance indicator quantifying performance of the at least one said content feature towards achieving the action based on the editing;
• and
• outputting, by the processing device, the item of content having the edited feature and the updated performance indicator quantifying performance of the at least one said content feature towards achieving the action based on the editing for display in the analytics user interface.

One or more computer-readable storage media having instructions stored thereon that, responsive to execution by a processing device, causes the processing device to perform operations including:

• extracting a plurality of content features, respectively, from a plurality of content, the extracting performed using a plurality of machine-learning models configured as classifiers that are trained for identifying respective content features of the plurality of content features;
• generating a content dataset including a plurality of content profiles having respective content identifiers and descriptions of the plurality of content features extracted from the plurality of content;
• collecting event data from an event data source, the event data describing user interaction with respective items of content of the plurality of content;
• generating an event dataset from the event data, the event dataset including respective content identifiers and descriptions of the user interaction, the event dataset includes at least one performance indicator, configured for display in an analytics user interface, quantifying performance of the respective said content features towards achieving an action;
• and
• generating an item of content using generative artificial intelligence (AI) as implemented by a machine-learning model based on the content dataset and the event dataset.