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
Anthropic's AI assistant with a very large context window
Customer support automation with live chat
AI agents for ecommerce support, sales, and chat
Provide customer context to AI agents via API or UI
Unify customer support, orders, and channels in one tool
Build relationships with an AI companion
Free AI assistant built on HubSpot data
AI customer agent for regulated European businesses
Custom chatbots for healthcare with HIPAA compliance
AI feedback tool for student writing assignments
Meeting intelligence for professional services
Ace job interviews with AI coaching
AI chat for website visitors and lead generation
AI phone system for automated sales and customer service calls
AI sales assistant for call prep, followups, and deal insights
Personal AI assistant that provides daily support and conversation
Track email opens and clicks in Gmail for free
Record voice notes and turn them into text, tasks, or posts
No-code AI chatbot for SMBs
Transcribe audio and video in 100+ languages with timestamps
Manage social media, chatbots, email, and SMS from one platform
Platform for building and deploying chatbots
Convert audio to text in multiple languages
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.