Omniscient
De-anonymize B2B website traffic into high-intent sales leads with proprietary identity resolution.
Transform First-Party Content Engagement into High-Intent B2B Lead Generation.
Contentgine represents the 2026 frontier of B2B lead generation by shifting the focus from third-party cookies to first-party content engagement. Its AI Content Engine (ACE) operates on the Content Intelligence Platform (CIP), which analyzes billions of interactions across a vast library of B2B white papers, case studies, and webinars. By utilizing advanced Natural Language Processing (NLP) and machine learning, the engine identifies exactly which accounts are researching specific solutions, providing a granular look at the 'buyer's journey' that generic intent providers miss. For 2026, the engine has evolved to offer predictive lead scoring that integrates directly into CRM workflows, allowing sales teams to prioritize outreach based on the depth and context of content consumption. Its architecture is built for the post-cookie era, ensuring compliance with global privacy standards while maintaining high-resolution data on buyer behavior. The platform's competitive edge lies in its proprietary data set, which captures active research signals from over 500,000 B2B assets, making it an indispensable tool for Enterprise ABM and demand generation teams looking to optimize their conversion funnels.
Uses a proprietary network of B2B portals to track actual asset downloads rather than just page visits.
De-anonymize B2B website traffic into high-intent sales leads with proprietary identity resolution.
Real-time B2B website visitor identification and intent intelligence for high-velocity sales teams.
Uncover the businesses ready to buy through the world's largest B2B intent data co-op.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Identifies accounts engaging heavily with competitor case studies and whitepapers.
A proprietary algorithm that weights lead quality based on the length of content consumed and the role of the reader.
AI-driven cleaning and expansion of static account lists based on real-time activity.
Tracks the sequence of content consumption across different platforms and sessions.
Analyzes engagement drops in existing customer accounts against industry benchmarks.
Uses deterministic and probabilistic matching to link anonymous research to known professional profiles.
Marketing doesn't know which existing accounts are interested in a new technology category.
Registry Updated:2/7/2026
Identifying when a competitor's client is looking for alternatives.
Marketing spends $100k on content but doesn't know which pieces drive actual revenue.