Training an AI chatbot typically involves two primary methods: supplying URLs for the bot to learn from relevant web content and manually entering Question and Answer pairs to tailor its responses to fit your specific business needs. Testing your chatbot is free of charge, and you can continue to train it until you are ready to set it live.

The Hub’s Conversation AI chatbot is designed to deliver accurate and contextually appropriate responses, making the interaction feel quite natural. However, it's good practice to inform users when they're interacting with an AI.

Yes, using AI for enhancing customer interactions, generating content, or managing reviews generally involves additional costs, which can vary widely depending on the type and volume of service used. For instance:

AI-generated content: A typical investment of $10 could yield approximately 105,820 words or produce around 160 images, showcasing the service's cost-efficiency for bulk content creation.

Conversation AI: With $10, you can expect to manage about 475 messages, indicating a practical solution for automating customer service interactions without significant expense.

Reviews AI: An investment of $10 in reviews AI can provide around 120 automated responses to customer reviews, aiding in efficient online reputation management.

These figures highlight the potential for AI to deliver substantial value across various applications, balancing additional costs with efficiency gains and scalability.

No, it isn’t. AI features come with different modes of operation, such as manual, suggestive, and autopilot. Users usually need to select their preferred mode to activate AI functionalities for customer interactions.

AI incurs extra costs due to the extensive development, computational resources, and ongoing maintenance needed for these sophisticated systems to function effectively and improve over time. These investments ensure AI tools remain relevant, efficient, and capable of delivering valuable insights and automations to businesses.