NeuralSearch now learns query intent directly from customer engagement data. Rather than relying solely on semantic interpretation, search queries are matched against patterns derived from real clicks and conversions - so brand names, niche terminology, and ambiguous queries return results grounded in what your customers actually engage with. Coverage improves automatically over time as engagement data accumulates, with standard semantic search as a seamless fallback for queries not yet learned. Click here to learn more.