Search has evolved to prioritize fast and personalized results, with natural language search allowing users to explore content using everyday language rather than keywords. This shift is driven by advances in computer science and computation speed, as well as the growing use of digital voice assistants like Siri and Alexa. Natural language search uses advanced techniques such as natural language processing (NLP) to infer meaning in complex sentences and provide more accurate results. To optimize for natural language search, businesses should focus on providing a user-friendly interface, leveraging user profiles and past searches, fine-tuning search algorithms and filters, structuring content to fit conversational patterns, and using data to inform their approach. By doing so, they can ensure that customers have a helpful and engaging experience with their website as the use of natural language and voice search continues to grow.