Dig - Social Video Intelligence Platform

Dig, developed by GlossAi, is a social video intelligence platform purpose-built for brands that need to monitor, understand, and control their presence across the sprawling landscape of user-generated video content. In an era where video dominates social media—and where damaging narratives can spiral into crises within hours—Dig offers a specialized lens that goes far beyond traditional text-based social listening. Its core value proposition is straightforward: it ingests billions of social videos, decodes not just captions but also spoken words, visual elements, and products within the frame, then surfaces the narratives and themes that matter most to brand health. This is not a general-purpose analytics tool; it is a targeted solution for communications executives, consumer insights teams, brand managers, and social media teams who need to act on video-specific intelligence in real time.

Where Dig stands out is in its video-first collection methodology, which claims coverage of over 90% of social video content. This breadth is critical because text-only monitoring misses the vast majority of brand mentions that occur in video—whether through product placements, logos, or verbal references. Dig’s in-video analysis layer is its technological backbone: it extracts spoken dialogue, on-screen text, visual objects, and even product appearances, then cross-references these signals to build a richer picture of brand perception. For example, a consumer complaint about a product flaw might appear not in a tweet but in a TikTok review where the user verbally describes the issue while showing the product. Dig would capture that nuance, whereas a keyword-based tool would miss it entirely. The platform then groups related clips into narratives, allowing users to spot emerging trends—such as a sudden surge in complaints about a specific feature—or detect the early stages of a viral disinformation campaign.

For whom is Dig most valuable? Communications executives will find its reputation intelligence capabilities essential for early warning on damaging narratives, fake news, or sensitive information leaks. The real-time alerts enable a proactive crisis response rather than a reactive scramble. Consumer insights teams can use the platform to analyze product complaints at scale, measure shifts in brand perception, and identify key influencers driving conversations. Brand managers benefit from the ability to monitor brand consistency across video channels and respond to emerging themes before they escalate. Social media teams, meanwhile, gain a comprehensive view of brand mentions in video, including influencer identification and content impact assessment, which can inform content strategy and partnership decisions.

However, Dig is not without limitations. Pricing is not publicly listed, requiring potential buyers to contact sales for a quote—a barrier for smaller organizations or teams evaluating budget. The platform’s integration capabilities with existing analytics stacks are not clearly documented, which may create friction for teams that rely on tools like Google Analytics, Sprout Social, or Tableau for consolidated reporting. Additionally, while Dig emphasizes global coverage, the specifics of language support and regional platform inclusion are not fully detailed, which could be a concern for global brands operating in non-English markets or on platforms like WeChat or VK. Data retention policies and historical analysis depth are also opaque, making it difficult to assess how far back the platform can look for trend analysis or longitudinal studies.

For a practical buyer, Dig should be evaluated primarily as a crisis detection and brand perception tool for video-heavy social environments. It is best suited for organizations that have dedicated brand monitoring teams and a need for real-time, multi-modal video analysis. Teams that already rely on text-based social listening may find Dig a complementary layer rather than a replacement. The lack of self-serve pricing and integration documentation means that a thorough demo and proof-of-concept phase is advisable before commitment. In a landscape where video is increasingly the primary medium for brand conversation, Dig fills a genuine gap—but its fit depends on the maturity of the buyer’s monitoring workflows and their tolerance for vendor-specific data silos.