Discussion under a post becomes material for learning
AI organises public signals and shows what audiences could not find in the post or what particularly interested them.
Post about a family weekend
The post received many reactions, but comments repeatedly ask about age limits, dining options and extra beds.
Themes to use
The system groups questions and sentiment, assigns them to the post and highlights information worth clarifying in future content.
- questions by frequency
- positive and problematic themes
- links to source comments
Analyse discussions without taking over moderation
The module reads reactions and, once a comment index is connected, analyses public statements in the context of posts. It does not write replies, hide posts or handle private messages.
Connects signals
Assigns available reactions, clicks and comments to the relevant post and its topic.
Groups discussions
Identifies recurring questions, praise, concerns and ambiguities without taking them out of context.
Shows sources
Lets you move from the summary to a specific post and public comment.
How does AI organise audience reactions?
Collecting signals
The module collects available post results and, optionally, public comments and the thread context.
Linking to content
It links reactions to the topic, format, offer and specific part of the post.
Grouping themes
It organises questions and opinions by meaning, frequency and sentiment.
Actionable report
It shows the main findings, source examples and topics worth developing.
A public comment stays in context
The same statement can mean something different without the post content and previous replies. That is why the analysis preserves the source, date and course of the public thread.
What does AI use?
- post content and metadata
- reactions, shares and clicks
- optional public comments with context
- scope of channels and periods analysed
What does the team receive?
- questions and themes grouped by topic
- sentiment and signs of interest
- links to source posts and comments
The team interprets the finding and chooses a response
The analysis may highlight an important question or change in sentiment, but it does not decide whether the brand should respond publicly. Handling replies remains part of the reputation process.
A team member selects the channels and period, checks source examples and decides which themes to use in future posts.
The module does not reply to comments, hide or delete them, moderate them or handle private messages.
Content responds better to real questions
Recurring questions do not get lost in individual post threads.
The team sees not only the number of reactions, but also what prompted the discussion.
Future content can address specific interests and information gaps.
Comments extend the analysis without turning it into an inbox
The foundation is post performance data from the Central Publishing Panel. The Social Media Comment Index adds public statements together with the thread context.
Related process elements
Frequently asked questions
Does the module read comments?
Yes, if the Social Media Comment Index is connected. Without it, the module can analyse other reactions and results provided by the channel.
Does AI reply to audiences?
No. This module only analyses; replies and moderation are handled through the reputation process or directly in the channel.
Does the analysis include private messages?
No. It covers posts, available reactions and public comments.
Is audience sentiment always clear-cut?
No. AI may flag irony or unclear context for review instead of assigning a definite label.