OpenAI
generalOpenAI's main chat interface, supporting GPT-4o, image input, voice, browsing, and DALL-E generation
General AI chat tools are conversational assistants that handle a broad range of tasks without being specialized for one domain. This is one of the largest categories on the platform with 947 tools, covering everything from customer support bots to personal productivity assistants and vertical-specific chat interfaces.
OpenAI's main chat interface, supporting GPT-4o, image input, voice, browsing, and DALL-E generation
Meta's assistant built into WhatsApp, Instagram, and the web
Anthropic's AI assistant with a very large context window
Customer support automation with live chat
Live meeting transcription and instant summaries
Enterprise voice AI with deepfake detection and compliance
AI customer support with helpdesk and chat
Privacy-focused search engine with Bang commands
Customer support for e-commerce in 100+ languages
AI chatbot for conversations and integrations
AI agents for personalized customer support in commerce
AI agents for ecommerce support, sales, and chat
Generate meeting summaries and action items
Customer support with AI and live chat
Provide customer context to AI agents via API or UI
Custom AI agents for sales automation and 24/7 support
AI chatbots that answer student questions instantly
AI customer agent for regulated European businesses
Customer support agents that live in your apps
AI-powered tool for faster, more accurate typing
Sales conversation intelligence and automation
Chat with millions of AI characters
AI note-taking for meetings without a bot
Practice job interviews with AI questions and answers
The sheer size of this category reflects how many products have been built on top of large language models with minimal specialization. Some tools here are genuinely general-purpose, while others have a primary use case like sales coaching (Salesably), legal research (Paxton AI), or customer service automation (Markprompt) that sits under a broader chat interface. Distinguishing between them takes a closer look at the target user and underlying model. Key factors to compare: whether the tool uses a proprietary model or a known foundation model, how it handles data privacy and conversation storage, whether it supports custom knowledge bases or document uploads, and what integrations it offers. For business use, API access and white-label options are often important. Pricing spans from free personal tools to enterprise plans with SSO, audit logs, and SLA guarantees. Given the volume of options, filtering by use case or integration requirement will narrow the field considerably.