Voice assistants rely on speech recognition technology combined with complex natural language processing systems to deliver an answer to a voice search. Voice search has adopted Deep Neural Networks (DNNs) as the core technology and Recurrent Neural Networks to deliver an answer even in noisy environments. The DNNs employs the Connectionist Temporal Classification and Sequence Discriminative Training Techniques to understand the nuances of a language and speech, and delivers a result as accurately as possible. In simpler terms, the voice assistant uses these complex technologies, understands the intent and delivers a result that is a most apt using entity recognition. Most often, content that is displayed as a featured snippet, in the Knowledge Panel, Google My Business, People Also Ask section, as a rich snippet, etc., are fetched as the answer to voice searches.