Filters Clear all
Pricing
Free tier
API
Open source
Platform
Integrations

chat 12

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.

Fin by Intercom

support

AI support agent built into the Intercom helpdesk

From $0.99 58 · 14,387 votes

Superhuman

general

AI productivity suite for email and work

From $25 53 · 61,474 votes

Reclaim

general

Calendar automation for tasks, habits, and breaks

Free 49 · 46,572 votes

Chatfuel AI

general

Sales automation across Instagram, WhatsApp, and TikTok

Free 48 · 55,206 votes

Octocom

general

Customer support for e-commerce in 100+ languages

Free 47 · 50,819 votes

Mesh

general

CRM and rolodex for personal and professional relationships

Paid 45 · 38,705 votes

Kommunicate

general

Omnichannel customer support automation

Free 44 · 15,465 votes

Gleap

general

Customer support with AI and live chat

Free From $49 44 · 1,407 votes

Mailbutler

general

Email productivity extension

Free 44 · 59,187 votes

Zigpoll

general

Customer feedback and survey tool

From $29 44 · 1,914 votes

Faraday

general

Provide customer context to AI agents via API or UI

Free 44 · 44,186 votes

GoLinks®

general

AI-powered short links for team information sharing

Paid 42 · 46,796 votes

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.