Andi
generalAI search engine with 87% accuracy
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 search engine with 87% accuracy
Free AI assistant built on HubSpot data
AI customer agent for regulated European businesses
AI app for Quran memorization and learning
Frontend framework for LLM and agent integration
Unified inbox for Shopify customer support
Platform for system design and behavioral interview prep
Customer support agents that live in your apps
AI platform that protects learning in education
AI chatbot trained on your content for customer support
Extract email addresses from LinkedIn profiles
Personalized chatbot trained on your website
AI-powered short links for team information sharing
AI-powered tool for faster, more accurate typing
Summarize, search, and write using multiple AI models
Custom multilingual AI assistants for customer service
AI interview coaching and practice
Sales conversation intelligence and automation
Interactive lessons aligned to school curriculum
AI email management and prioritization
Chat with millions of AI characters
AI resume builder with interview and LinkedIn coaching
AI note-taking for meetings without a bot
Practice job interviews with AI questions and answers
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.