Vector-based ad targeting lets AI buy ads by data similarity, not keywords
Instead of picking keywords or audience segments, advertisers can define a high‑dimensional vector that represents the desired content or audience and let AI agents match it to similar users. This shifts ad buying from manual taxonomy to algorithmic similarity, promising finer granularity and scalability in AI‑run marketplaces.