Gorgias
generalAI customer support with helpdesk and chat
AI chat tools include chatbots, conversational assistants, and platforms for building and deploying chat-based AI experiences. With 955 tools, this is one of the largest categories in the directory, covering everything from customer service bots to personal AI companions and sales coaching systems.
AI customer support with helpdesk and chat
AI chatbot for conversations and integrations
AI agents for personalized customer support in commerce
Chat with millions of AI characters
Deploy a customizable chatbot for your website
AI automation for drive-through restaurant operations
24/7 AI agents for phone, email, and CRM
Convert customer interactions into structured sales data
Real-time translation during international phone calls
Practice interviews with real-world scenarios and feedback
AI customer support agent
Custom AI chatbots for websites
ChatGPT-powered chatbots for sales and support
Build and deploy conversational AI chatbots
Personalized study plans with practice questions and progress tracking
Practice answering interview questions
RevOps automation and data synchronization
Creator payments and compliance in 190+ countries
AI journaling with emotional insights and pattern recognition
Convert text to speech in over 100 languages
Automatic meeting notes, summaries, and action items
Platform for the entire AI development lifecycle
Transcription service for veterinary consultations
AI chatbot builder for customer support
The breadth here is significant. On one end are end-user chat applications where you interact with an AI directly, like CogBias AI or Eloquens AI. On the other are platforms like Markprompt that let you build custom chat interfaces on top of your own documentation or knowledge base. Sales-specific tools like Salesably and Triple Session focus on coaching and call analysis rather than open-ended conversation. Customer support tools like Watchdog.chat and AIPEX are deployed externally, handling queries on behalf of a business. When evaluating, the key question is whether you need a ready-made chat product or infrastructure to build your own. For the latter, the quality of the RAG pipeline, latency, and customization options matter most. For end-user products, context retention across sessions and instruction-following quality are the main differentiators. Pricing varies from free tiers to per-conversation billing.