Chatbot Type

1. Rule-Based chatbots

These are basis for building contextual blocks of indexed text data from your website content, content files, and other supplied data to be consumed by the chatbot’s response generator — it is consistent and reliable. For instance, many businesses deploy these types for preliminary lead generation, offering predefined responses.

2. Keyword Recognition-Based chatbots

Imagine a data analyst or machine learning content gatherer that identifies patterns and trends. Chatbots find and catalog these crucial keywords from a conversation and offer more nuanced responses, reminiscent of how your website info and content is used as input (training) for inputs to generate contextually relevant replies.

3. Menu-Driven chatbots

Chatbots simplify user experiences with preset menus. They’re especially valuable in e-commerce settings, guiding users from product queries to checkout.

4. Contextual chatbots (Intelligent AI augmented chatbots)

These chatbots are advanced because they use machine learning and natural language processing to understand the user intent before forming a dynamic response; unlike the indexed content type with a static response.  With an understanding of past interactions, these chatbots remember your preferences. These chatbots are designed to fully engage the customer.

5. Hybrid chatbots

Hybrid chatbots, which combine the strengths of AI and rule-based type models.

6. Voice-Enabled chatbots

Voice enabled types of chatbots must employ human communication behaviors (dynamic real time) and not just provide text and data based static responses. They signify the goal of simulated human reactions, the rise of voice-activated tools in these virtual assistants (chatbots & automations), and the use of AI augmention in person-to-person interactions such as real time language translators or even virtual assistant personas. Their voice recognition technology caters to high-level multitaskers, offering hands-free interactions.