The Feature

Know What Your Audience Really Feels

AI reads every comment in context with your post caption and tags it as positive, negative, a question, spam, and more. Use those tags to reward fans, route questions, or hide trolls — automatically.

FZ

Sentiment Analyzer

Live feature preview

Active
Sentiment Engine
Input

Understand how your audience really feels — automatically.

Every new comment is auto-categorized using post context and AI.

Positive 64%
Neutral 28%

Tagged & routed

Hide negative spam, prioritize questions, and reward fans automatically.

Full feature flow below

How It Works

1

We Analyze Each Comment

Our model uses post context plus the comment itself to classify sentiment in real time.

2

Route by Sentiment

Build flows that fire only on Positive, Question, Negative, or Spam comments.

3

Act Automatically

Reward fans with DMs, route questions to your team, or auto-hide negativity — all without lifting a finger.

Key Benefits

Context-Aware AI

We read your post caption too — so 'wow' on a tragic story isn't tagged positive.

Auto-Moderate

Pair with Auto-Hide Comments to make negativity disappear before anyone sees it.

Reward Your Fans

Automatically DM thank-you notes or perks to your most positive commenters.

Sentiment Reports

Track sentiment shifts over time to see how your audience reacts to launches and content.

Real-World Use Cases

Brand Reputation

Catch negative sentiment spikes before they snowball.

Negative spike detected → Slack alert → respond in minutes

Audience Research

See which content earns the most positive sentiment.

Top post by sentiment: "Behind the scenes #4" — 91% positive

Lead Prioritization

Route question-tagged comments to sales first.

Sentiment: Question → tag 'hot-lead' → DM with link

Explore Other Features

Complete your automation toolkit with our other powerful features

Ready to Understand Every Comment?

Stop reading 800 comments by hand. Let AI tell you what matters.