SendPulse
generalChatbot builder for multi-channel customer engagement
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.
Chatbot builder for multi-channel customer engagement
AI SDR agent for real-time lead qualification
AI scheduling assistant with human-like phone calls
AI email writer for subject lines and copy
Identify bird songs and calls in real time
Automate repetitive task workflows with AI
AI CRM and customer discovery platform for retail brands
Open-source conversational AI model for local deployment
Train sales teams with AI coaching and role-play scenarios
Conversational AI platform for customer engagement at scale
Customer service automation platform
Voice AI agents for enterprise
AI-powered customer engagement platform
AI agent platform for customer experience
Generate professional emails quickly and for free
AI chatbot for 24/7 customer support and instant responses
Multi-channel inbox for email, chat, voice, and WhatsApp support
AI chatbot for customer service automation
Conversational AI for customer support
Face recognition search and verification
Local language models for consumer hardware
Email client with integrated calendar
AI customer support automation
Video and audio transcription software
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.