Traditional social listening tools primarily focus on text-based channels, such as social media posts, articles, and comments. While these sources are valuable, many conversations today happen out loud, in podcasts, social media, and other spoken formats.
All Ears is built specifically to monitor and analyze spoken media.
Key differences
Focus on spoken content
All Ears tracks conversations across podcasts, YouTube, TikTok, and other audio-first formats, rather than relying mainly on written text.
Richer context
Spoken media often contains longer, more nuanced discussions. All Ears captures tone, sentiment, and context that are difficult to detect in short text-based posts.
Earlier signals
Narratives and opinions frequently appear in spoken media before they show up in articles or written social channels. All Ears helps teams identify these signals earlier.
Designed for intelligence, not just mentions
Beyond counting mentions, All Ears structures spoken conversations into insights that can be analysed, reported on, and shared across teams.
When teams use All Ears
Teams typically use All Ears alongside or instead of traditional social listening when they want to:
Monitor podcasts and video content at scale
Understand how topics are discussed, not just how often
Track emerging narratives and shifts in sentiment
Bring spoken media insights into reports, dashboards, or internal tools