Dig
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About
Dig is a social video intelligence platform designed to help brands navigate the increasingly video-centric social media landscape. While traditional monitoring tools rely on text and hashtags, Dig uses a video-first approach to analyze what is actually happening inside the footage. It scans billions of videos across multiple social channels to identify brand mentions, visual appearances, and spoken context that text-based crawlers often miss. Its primary purpose is to give organizations complete visibility into how their products and reputation are being portrayed in short-form and long-form video content worldwide, helping them seize opportunities or prevent brand damage. The platform operates through a multi-stage process involving collection, analysis, and narrative extraction. It covers more than 90% of social videos, decoding specific details such as spoken words, visual logos, featured products, and on-screen captions. Beyond simple detection, Dig uses AI to group related clips together, helping users distinguish between isolated incidents and broader emerging narratives. This allows teams to filter through the noise of social media and focus on high-impact themes. Real-time alerts and impact scoring further assist by quantifying the potential damage or reach of specific narratives as they develop, enabling a proactive rather than reactive strategy. Dig is built for various departments within large organizations, particularly those in competitive industries like retail, consumer goods, and technology. Communications executives use it to stay ahead of viral crises and detect deepfakes or disinformation before they spread. Consumer insights teams and brand managers leverage the tool to benchmark brand health and analyze product complaints by specific demographic segments. Additionally, social media teams can use the influencer intelligence feature to evaluate whether potential partners truly align with their brand values based on the actual content and sentiment of their videos, rather than relying solely on surface-level metrics. What distinguishes Dig from traditional social listening platforms is its ability to see inside the video file itself. Most existing tools are blind to the visual and auditory data contained within video content, leaving brands with significant blind spots where damaging narratives can spread undetected. Dig addresses this gap by providing automated response management tools, which include counter-narrative suggestions and strategic response planning. By moving beyond simple metadata and focusing on Social Video Intelligence, the tool provides a comprehensive representation of brand sentiment in a modern world where video has become the primary medium of communication.
Pros & Cons
Covers over 90% of social videos across all major social media channels.
Analyzes visual elements, spoken words, and products directly within video files.
Identifies emerging viral narratives by grouping related video clips automatically.
Provides real-time alerts for brand reputation risks, leaks, and disinformation.
Offers automated tools for response planning and strategic content takedowns.
Pricing information is not publicly available and requires a demo request.
Focus is exclusively on social video, which may require parallel text-based tools.
Platform access is restricted to corporate demo requests rather than open signup.
Use Cases
Communications Executives can detect and respond to viral crises and disinformation campaigns in real-time.
Consumer Insights Teams can track product complaints and sentiment across demographic segments via video feedback.
Brand Managers can benchmark their brand health and perception against competitors using video-derived metrics.
Social Media Teams can vet influencers by analyzing their historical video content for brand alignment and values.
Legal and Security Teams can identify sensitive information leaks or unauthorized campaign footage spreading on social media.
Platform
Features
• real-time alerts
• product intelligence
• influencer intelligence
• response management
• impact scoring
• narrative extraction
• in-video analysis
• video-first collection
FAQs
How does Dig differ from traditional social listening tools?
Traditional tools are text-based and rely on hashtags or captions, often missing the actual content within a video. Dig uses AI to decode spoken words, visuals, and products inside the video itself, providing 90% coverage across social channels.
Can Dig detect deepfakes or disinformation?
Yes, the platform includes specific features for executive reputation and deepfake detection. It helps brands spot fabrications early, expose them, and take control of the narrative before damage escalates.
What kind of insights can consumer research teams get?
Teams can analyze product complaints by demographic segments and benchmark brand health against industry standards. It also identifies influencer alignment by analyzing their actual video content against brand values.
Does the platform provide real-time notifications?
Yes, Dig features real-time alerts that notify users of emerging vulnerable narratives, sensitive leaks, and disinformation trends. This allows teams to act immediately when content goes viral.
Pricing Plans
Enterprise
Unknown Price• 90%+ Social video coverage
• In-video analysis
• Narrative extraction
• Real-time alerts
• Impact scoring
• Response management
• Influencer intelligence
• Deepfake detection
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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