Think of this as a super-smart billboard system that doesn’t track who you are, but instead reads the page you’re on in real time and shows an ad that fits the exact topic, tone, and situation of that content.
Traditional audience targeting relies heavily on cookies and personal identifiers, which are being phased out due to privacy regulation and browser changes. Advertisers need a way to reach relevant audiences at scale without personal data, while maintaining or improving campaign performance.
If operated by Seedtag, the moat likely comes from proprietary contextual models trained on large-scale publisher inventory, long-term performance data, and tight integration into ad buying workflows across publishers and DSPs.
Hybrid
Vector Search
High (Custom Models/Infra)
Real-time inference latency and cost at impression scale (context analysis must run in milliseconds on high traffic volumes).
Early Majority
Focus on rich, page-level contextual understanding (topics, sentiment, semantics, possibly visual content) to replace identity-based targeting, with an emphasis on privacy-by-design and brand suitability rather than user profiling.