By Pere Munar, on 25 July 2024
Conversational AI encompasses various technologies that simulate human-like conversations through the integration of natural language processing (NLP), enabling machines to comprehend and process human language, and machine learning (ML), facilitating automatic learning.
Types of Conversational AI
Chatbots
Chatbots are AI-powered tools capable of engaging in real-time text-based conversations with users. They are commonly employed to automate customer service tasks and can be found on websites across diverse industries.
Voice Assistants
Voice assistants (VAs) are AI-enabled tools designed to process and understand spoken language. They can be integrated into mobile devices or smart speakers to provide answers to queries, connect with other smart home devices, and execute various actions involving electronic devices.
Interactive Voice Response (IVR)
Interactive Voice Response (IVR) is a type of Conversational AI based on automated phone systems. The tool can comprehend user responses and present them with different options accordingly. It is widely used in customer service to manage and categorize large volumes of customer calls.
There isn't a superior type of Conversational AI; the choice depends solely on the company's and user's needs.
Utilizing Conversational AI in Marketing Strategies and Top Tools
Conversational AI is increasingly integrated into digital marketing strategies, with numerous tools like Chat GPT, Copy.ai, or Midjourney capable of generating content based on instructions. Content generation through AI-powered tools enables companies to save time and resources, enhance performance, and foster innovation and differentiation, hence its popularity.
Besides content creation, Conversational AI finds broad applications in digital marketing, particularly in online customer support. It efficiently addresses frequently asked questions and resolves simple queries without human intervention, saving time and resources while improving customer service.
Moreover, Conversational AI makes web content more accessible by enabling text-to-speech or translation. This eliminates dialectal barriers, making it easier to reach a broader audience.
