The social listening platform
built for video intelligence

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.

Yes. dig includes an authenticity and content-forensics layer that scores whether content is real and whether the momentum behind it is genuine, flagging deepfakes, synthetic and AI-generated media, bot networks, fake engagement, and coordinated inauthentic activity.

On video platforms, coordinated campaigns rarely show up in the interaction graph the way they do on text platforms. They hide in synchronized release windows, reused audio and visual templates across creator clusters, watch-time anomalies, and recommendation-system lifts, and they increasingly run through real creators rather than throwaway bot accounts. dig reads those algorithmic and behavioral signals and maps creator networks and audience authenticity, so it can separate an engineered spike from an organic one and flag activity as coordinated when the signals move together.

The same underlying intelligence serves five functions. Communications and PR use it for early crisis detection. Legal and brand protection use it for evidence on impersonation, counterfeits, and trademark infringement. Security and risk use it for executive targeting and influence operations. Insights and marketing use it to separate authentic sentiment from engineered momentum. Government and public sector use it at ecosystem scale.

Each team works from the same source-traceable intelligence with role-appropriate playbooks, so a comms lead, a brand-protection lawyer, and a security analyst can act on the same finding without switching tools. dig Enterprise is used by brands and organizations including P&G, Starbucks, Mastercard, Pinterest, Edelman, and Publicis Groupe.