AI-powered site search has the potential to increase profitability for e-commerce companies while doing more with less, particularly in B2B commerce where 92% of purchases start with search. The current keyword search engines often fail to account for query variations and require manual optimization, whereas AI-powered search understands the meaning behind a query and handles long tail queries automatically. This technology uses machine learning algorithms, such as vector embeddings and neural hashing, to improve results over time and deliver faster processing in near real-time, with some queries returned in under 20 milliseconds. By automating search result optimization, companies can reallocate hours spent on it to drive higher conversions and a better user experience.