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Linguistic or rule-based chatbots are more complex than button bots, though they fall short of the nuanced and relevant responses that AI bots provide. For example, a rule could be that when a bot receives a certain number of keywords related to a specific topic, it provides the user with a link to a webpage that may help to resolve their query. Like button or keyword-based bots, they still rely on static, preset rules, but the user experience is more flexible. Chatbots process data to deliver quick responses to all kinds of users’ requests with pre-defined rules and AI-based chatbots. #1. Use a chatbot platform. Unlike email or traditional live chat, chatbots can give answers within seconds. For example, you’re at your computer researching a product, casino link building and a window pops up on your screen asking if you need help. This also means that the customer will be able to purchase without leaving the webpage. What is needed for chatbot? To create an AI chatbot you need a conversation database to train your conversational AI model. But you can also try using one of the chatbot development platforms powered by AI technology. Tidio is one of the most popular solutions that offers tools for building chatbots that recognize user intent for free. This can include customer service and marketing applications, where the chatbots can provide answers to questions on topics such as products, services or company policies.