Answer sentence generation in dialogue system is one of the important elemental technologies to achieve natural and smooth dialogue. In conventional answer sentence generation responds according to the user’s topic or information required by user. However, persuasive dialog system is a system that guides the user to the system goal. Therefore, in the case, only having a dialog according to the user’s topic may not achieve the system goal. Therefore, it is important to be able to generate answers that guide users to topics related to the system goal. To achieve natural transitions from current topic to the target topic, it is necessary to lead the conversation through related topics that connect those topics. We propose answer sentence generation methods for guiding users to new topics with answer templates. To effectively extract term pairs that apply to the handmade template from a term database, we take advantage of information from a concept dictionary and Web search. In addition, on the assumption that the user does not know the target topic, we prepare an explanation of each topic by hand. We evaluate single answer sentence and the usage of the proposed method in a dialog system. The experimental results show the efficacy of the generated sentences.