Google's BERT algorithm, which stands for Bidirectional Encoder Representations from Transformers, is a natural language processing algorithm. Its purpose is to help Google better understand the context and nuances of search queries. By analyzing the relationships between words and phrases in a sentence using a transformer-based neural network architecture, BERT enables Google to provide more accurate and relevant search results.