The intelligence trusted by leading brands, comms, and insights teams, now in your stack
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dig Enterprise is a social and video intelligence platform that reads what is said, shown, and felt inside social content, then tells brand, comms, and risk teams what story is forming, who is driving it, whether it is authentic, and what to do next.
It goes beyond counting mentions. dig analyzes video, image, audio, and text together across TikTok, YouTube, Reels, Shorts, Instagram, X, Reddit, and Facebook, connects related posts into the narratives forming around a brand, and routes every finding into a clear action path through the RESPOND framework: monitor, counter, promote, or take down. Every insight links back to the exact source post, so conclusions are auditable rather than black-box. dig Enterprise is built for communications, risk, legal, insights, and public-sector teams that need defensible, source-traceable intelligence.
Most social listening tools were built for a text-first internet. They monitor what is written about a brand and read video, at best, as a transcript. dig was built for a video-first social landscape and sees inside the video itself.
Three differences set dig apart. First, video-native understanding: dig reads speech, on-screen text, visual context, objects, tone, and sentiment frame by frame, not just the caption or a transcript. Second, narrative intelligence: instead of counting how often a brand is named, dig connects related posts into storylines and tracks how each gains momentum across creators and platforms, so teams catch a narrative while it is still early enough to shape. Third, action: most tools deliver an alert and stop, while dig produces a recommended response path with impact scoring, so teams spend time on what is likely to escalate rather than every spike of noise.
dig analyzes 90%+ of social video across major platforms, including TikTok, YouTube, Instagram, Reddit, X, and Facebook.
This is not sampling. It’s continuous, large-scale in-depth analysis of billions of videos in real time.
LLMs summarize language, but they can’t do the same for video content. They don’t see visuals and can’t catch gestures, edits, or on-screen context
They also can’t interpret irony, reaction formats, or visual storytelling - and they sometimes hallucinate patterns without access to underlying video data.
dig is not a text model guessing about video.
It analyzes the video itself and produces insights grounded in actual footage: clickable, reviewable, and defensible - so you can make high-stakes decisions.
The short answer is MINUTES.
Once you start, you can search in natural language, explore live narratives and run deep research flows in the dig chatbot - and get your answers in minutes.
Most teams are up and running in under three (3) hours. No Boolean query setup, no taxonomy building and no manual tagging needed.