Google Gemini
generalGoogle's multimodal AI with long-context processing and built-in Search grounding
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.
Google's multimodal AI with long-context processing and built-in Search grounding
Meta's assistant built into WhatsApp, Instagram, and the web
Enterprise voice AI with deepfake detection and compliance
Calendar automation for tasks, habits, and breaks
Free AI chatbot powered by ChatGPT 4
AI agents for customer support in 80+ languages
Secure, scalable AI agents for customer conversations
Generate meeting summaries and action items
Cold email and lead generation tool
Omnichannel customer support automation
Custom AI agents for sales automation and 24/7 support
AI phone and SMS platform for sales and support
Unified inbox for Shopify customer support
AI-powered tool for faster, more accurate typing
Chat with GPT-4 and other AI models for free
AI chatbot for conversation
Small language model platform for edge computing
AI companion for private adult connection through text, voice, and images
Automatic meeting summaries and notes
AI interview practice and preparation
Personal AI assistant with multiple tools
24/7 AI emotional support designed for female health
Audio conversations with historical figures and modern coaches
Build AI chatbots trained on your company data
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.