Semantic & Intent Fusion Targeting (SIFT) represents the next generation of contextual advertising. Instead of relying solely on keywords or legacy segments, SIFT uses pre-computed LLM-derived embeddings to understand page content and user intent at programmatic speed. By querying billions of URLs and anonymized behavioral signals through fast vector similarity search, SIFT adds high-propensity semantic signals to standard RTB inputs—without the latency of in-auction LLM inference.

AI Uncovering Responsive Audiences (AURA) is a breakthrough AI-first audience discovery and optimization program. Using advanced pattern recognition across behavioral, demographic, and transactional data, AURA continuously identifies and upweights high-response micro-segments that traditional targeting methods miss. Early pilots demonstrate an average 22% lift with no creative changes and minimal workflow impact—just split your audience lines and let AI optimize weekly.