The use of AI in ecommerce search has the potential to significantly improve its effectiveness, allowing for more accurate results and a better user experience. Traditional keyword matching methods are being replaced by new large language models that can turn keywords into concepts, enabling users to ask for what they want using natural language queries. This shift is expected to lead to increased sales, as 80% of ecommerce queries are long-tail queries that convert into sales the most easily. AI also enables personalized search experiences, allowing sites to treat each shopper as an individual and provide tailored recommendations based on their past purchases and preferences. The integration of generative AI models will further enhance this experience, creating a conversational commerce approach that simulates a personal shopping advisor, providing expert advice and making smart suggestions.