AI Topics
Transform social listening into AI‑powered contextual brand intelligence
Automatically filter noise at scale across millions of conversations, so teams focus on what’s relevant, uncover real trends, and act with confidence
Focus on listening to relevant conversations
Brand specific conversation Tracking
Separate real brand conversations from irrelevant uses of the same word. This delivers clean, contextually accurate data for brands with common names
Uncover true market signals
Automatically filter noise so teams identify trends and themes that reflect what people are truly talking about.
Faster market response
Deliver accurate, timely insights that help brand managers make faster decisions and respond confidently to market conversations.
Turn queries into contextual brand understanding
Use AI to establish brand‑relevant context
AI transforms your query into a clear topic understanding with inclusion and exclusion guidelines based on brand relevance
Adjust topic understanding in plain language
Review how relevance is determined and easily refine the topic understanding using simple, natural language
Create topics using familiar workflows
Create a query‑based listening topic using your existing workflow to capture market conversations around your brand
Filter listening data using contextual relevance
Pull conversations using keyword-based queries
Fetch mentions based on keyword matches across social, news, forums, and reviews. Capture broad conversation volume before applying contextual intelligence
Classify mentions using AI‑driven context
Apply AI‑generated topic understanding to evaluate intent behind every mention. Categorize each mention as relevant or irrelevant to the brand
Surface only contextually relevant conversations
Display only relevant mentions across listening dashboards and reports. Enable accurate analysis, sentiment detection, and confident decision‑making
Power confident, data driven brand decisions
Get to insights faster by eliminating manual cleanup
Eliminate repeated query refinements and manual filtering so analysts focus on analyzing trends, signals, and generating actionable insights.
Improve insight quality with automatic noise filtering
Work with cleaner, contextually relevant data so audience sentiment, emerging topics, and trends reflect true brand perception
Strengthen confidence in insights and act faster
Rely on accurate, relevant data to make confident decisions and respond faster to market when the moment still matters
Measure marketing impact with clean listening data
Understand how campaigns influence conversations and sentiment, enabling stronger ROI measurement across marketing initiatives
Isolate meaningful conversations at scale
Cleaner Listening Data
A Swiss‑based multinational healthcare company eliminated large volumes of irrelevant listening data caused by the brand name’s alternate meaning in French
Relevant Market Intelligence
A Germany based global bank filtered out noise from 'bank' meaning 'bench/seat' in German resulting in brand‑relevant financial insights
Seamless Topic Configuration
An American television service provider found AI Topics easy to set up and removed significant volume of irrelevant mentions caused by common name matches