Google Gemini
generalGoogle's multimodal AI with long-context processing and built-in Search grounding
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.
Google's multimodal AI with long-context processing and built-in Search grounding
Meta's assistant built into WhatsApp, Instagram, and the web
Enterprise voice AI with deepfake detection and compliance
Calendar automation for tasks, habits, and breaks
Secure, scalable AI agents for customer conversations
Generate meeting summaries and action items
Cold email and lead generation tool
Omnichannel customer support automation
Custom AI agents for sales automation and 24/7 support
AI phone and SMS platform for sales and support
AI-powered tool for faster, more accurate typing
Chat with GPT-4 and other AI models for free
Small language model platform for edge computing
Automatic meeting summaries and notes
24/7 AI emotional support designed for female health
Audio conversations with historical figures and modern coaches
Use ChatGPT on WhatsApp for chat, images, and documents
Chat with historical figures and custom AI characters
Practice interviews with AI feedback
Interview preparation using the STAR method
Connect with departed loved ones through AI
Performance marketing and ad optimization
Query your codebase using plain language
AI-driven career planning and skill development
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.