Don’t leave your brand dangerously exposed

Social video intelligence is the practice of analyzing what actually happens inside social video, the spoken words, on-screen text, visuals, logos, tone, and audience reactions, to understand how brands and narratives are forming. It reads the content of the video itself, not the text wrapped around it.

Social listening works differently. Legacy listening tools track text: captions, comments, hashtags, keywords, and mention volume. That made sense when social was mostly written. It isn't anymore. Most of what people post and watch is video, and the meaning lives in gestures, context, and reaction, none of which a caption captures. A creator can praise your product in the caption while tearing it apart on camera, and a text-first tool will log it as positive.

dig monitors social video in real time and analyzes the content inside each clip, so it catches the signals of a risk while the story is still small. Instead of tracking individual mentions, dig's intelligence engine clusters related clips into emerging narratives and measures their momentum, which surfaces a forming threat before it reaches the volume that text-based alerts would finally register.

That covers the risks that move at video speed: deepfakes, impersonations, leaks, misinformation, smear campaigns, and product issues that surface publicly before internal teams hear about them. dig flags them early, sends real-time alerts, and traces every narrative back to the exact source posts and creators behind it, so your comms team can respond while the narrative is still fluid rather than after the damage is done.

The result is a shift from reactive to proactive. You see the risk taking shape, you know where it started, and you act on it early.

The core difference is structural. Brandwatch, Sprout Social, and Meltwater are text-first, while dig is video-first. The established tools are strong at tracking mentions, keywords, captions, comments, and mention volume across the web and social. They read what's written about your brand. dig reads what's happening inside the video, the speech, visuals, logos, tone, and reactions that text-based tools can't see.

That matters because most social is now video, and that's where text-first monitoring goes blind. dig analyzes the clip itself, then clusters related clips into narratives so you understand the root cause and momentum of a story rather than counting isolated mentions. Every insight links back to the exact source post, and brand risks like deepfakes, impersonations, and leaks are caught while the narrative is still forming.

One honest distinction on scope. Sprout Social is also a social media management and publishing suite, so it handles scheduling and engagement work that dig doesn't. dig isn't a publishing tool. It's a social intelligence engine focused on understanding how brands and narratives are actually unfolding in video. If your brand monitoring depends on what's said on camera, not just in the caption, that's the gap dig is built to close.