Salesken.ai
generalAnalyze sales calls and provide coaching feedback
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.
Analyze sales calls and provide coaching feedback
Translate phone and video calls in 150+ languages
B2B SEO, lead generation, and content marketing
Connect with departed loved ones through AI
Interview practice with structured feedback
AI helpdesk built into Slack and Teams for ticket automation
AI chat suggestions for online dating conversations
Mobile app suite for AI image and video generation
Build and deploy voice AI agents
Walking tour generation and exploration
Write emails, translate, and research across any site
Meeting assistant with smart summaries and AI copilot
Generate personalized wedding speeches in minutes
Automate repetitive tasks like calls, invoicing, and emails
Get personalized solutions for life challenges and goals
Compare fast-payout online casinos in Australia
AI makes difficult phone calls on your behalf
ChatGPT alternative with direct API access
AI chatbot for personalized learning
Chat with multiple AI models and install custom assistants
AI automation for business operations and customer experience
Career guidance and job matching for African professionals
Auto-generate worksheets for math, science, and ELA
Rewrite emotional emails as professional messages
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.