dig turns a simple question into decision-grade answers you can stand behind. It scales coverage, evaluates relevance in natural language, and delivers findings with clickable evidence and full traceability back to the original posts.
Step 1. Define the Scope
Bring your brief in natural language. Questions, risks, competitors, products, claims, creators, markets. dig turns it into a structured investigation scope.
Step 2. Watch-Plan Created
dig auto-generates a high-volume search library across platforms and creators based on your brief. By creating thousands of query variants, we capture the coded language, real-world phrasing, and shifting storylines that traditional keyword tools miss.
Step 3. Relevancy is Filtered
No boolean filters that flatten reality. dig evaluates relevancy in natural language, using context from what's said, shown, and implied to separate signal from noise.
Step 4. Run the Analysis
dig turns raw social video into answers through comprehensive video and post-level analysis, then lets you go deeper. Ask follow-up questions, run multi-step investigations, and drill down by claim, creator, audience, region, time, and content pattern, while keeping a clickable evidence trail back to every post.
Every insight is linked to its underlying sources and metadata, so teams can verify, share, and defend it.
- Source-level links: direct links to the original posts and creator accounts
- Content artifacts: video context, transcript, visuals, and surrounding conversation signals
- Attributes: platform, timestamp, engagement, author identifiers, language, and topic tags
- Explainability: why something was flagged, what signals contributed, what was excluded
90%+of social videos captured and decoded
100%traceable, with clickable sources
95%accuracy, tagging relevant posts, brand mentions, and narratives
750Mposts analyzed monthly