Smart Boost

AI Tagging

Handles any labeling for you. The AI understands the context and sentiment of a message and tags it accordingly.

AI tagging is significantly faster than manual labeling and costs far less — with human-level accuracy.

Meaning-based tagging — not keyword-based — with customizable sentiment criteria for each message.

Tagging messages in any language, regardless of the prompt language.

Why AI Tagging is essential

Analyze brand or product perception — any characteristics and how your audience feels about them.
Track how your key messages are distributed and perceived.
Detect crisis situations based on your own criteria.
Find messages on any specific topic you need.
Run fast research: process large volumes of messages under tight deadlines — for example, when preparing for a tender.

Instantly «reads» thousands of comments on a post or story and delivers a report: what people are debating, praising, and complaining about.

In one click, you get a structured overview of positive, negative, and other opinions.

Only the posts or stories you select are analyzed — without loading comments into a topic, preserving your topic limits and analysis consistency.

Crisis-ready speed: AI comment analysis detects crisis situations at an early stage within minutes and helps prevent them from escalating.

Why AI Comment Analysis is essential

Analyze reactions to newsbreaks: go beyond the content of a post or story and explore user discussions.
Detect a crisis in the comments — before it spreads beyond a single post’s discussion.
Evaluate influencer integrations: look beyond reach metrics to see how the audience reacted — what resonated and what drew criticism.
Track product launch perception: what your audience noticed, what they didn’t understand, and what they’d like to change.