The text discusses the growing importance of citations in the deployment of generative AI (GenAI) systems for businesses, emphasizing their role in fostering trust and acceptance among users by bridging AI-generated responses with their data sources. Citations help mitigate the issue of AI "hallucinations," where models produce inaccurate information, by allowing users to verify the accuracy of responses, which is crucial in sectors such as healthcare, finance, and legal compliance. The text highlights that not all AI models are equipped to generate citations and that their implementation must be user-friendly, offering either post-response or inline citations depending on user needs. The effectiveness of citations depends on the quality and diversity of the data sources, as well as ongoing efforts to ensure data relevance and accuracy through continuous updates and evaluations by annotators. As AI continues to evolve, citations are expected to play a pivotal role in enhancing user trust and meeting compliance standards across various industries.