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
Chat platform with AI personas based on fictional and community-created characters
xAI's conversational model with real-time access to X posts
Enterprise chat and AI support agent infrastructure for apps
Chat with customizable AI characters for roleplay and casual conversation.
Unfiltered AI character chat with support for NSFW roleplay and emotional scenarios
Customer messaging platform with an AI copilot that suggests replies based on your knowledge base
Calendar automation for tasks, habits, and breaks
Sales automation across Instagram, WhatsApp, and TikTok
Team collaboration and communication without workflow disruption
Platform for creating and exploring AI chatbots
Secure, scalable AI agents for customer conversations
Cold email and lead generation tool
Omnichannel customer support automation
Mock interview practice
Email productivity extension
AI-powered learning platform for employee training
Unify customer support, orders, and channels in one tool
Build relationships with an AI companion
AI phone and SMS platform for sales and support
AI search engine with 87% accuracy
Free AI assistant built on HubSpot data
AI chatbot trained on your content for customer support
AI resume builder with interview and LinkedIn coaching
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.