AI Chatbots
AI chatbots let people interact with software through natural conversation rather than menus or conventional search interfaces. Depending on the tool, they can answer questions, draft and summarize content, search connected knowledge, handle support requests, use business integrations, and escalate complex cases to people. The listings on this page cover tools built around conversational interaction, from general-purpose assistants to specialized chatbot platforms.
Compare AI Chatbots
Explore AI tools with Chatbots capabilities.
Ada
Ada is an enterprise AI customer-service platform that lets companies deploy, manage, and improve AI agents across chat, voice, email, messaging, SMS, social, in-app, and custom channels. It combines knowledge sources, APIs, integrations, structured workflows, analytics, safeguards, and human handoff to automate customer-support interactions.
Bland AI
Bland AI enables businesses and developers to build, deploy, and manage AI-powered phone agents for inbound and outbound calls. Agents can conduct multi-turn conversations, use configured knowledge bases and pathways, perform automations, transfer calls, send messages, and return transcripts or structured call outcomes.
Botpress
Botpress is a web-based platform for designing, testing, deploying, integrating, and monitoring AI agents. It provides visual workflow tools, a TypeScript development kit, Knowledge Bases, integrations, Webchat, APIs, scheduled triggers, and human-support workflows.
Character.AI
Character.AI is a conversational AI and interactive entertainment platform where users can chat with public or custom AI Characters, create roleplay scenarios, develop Characters and Scenes, and share creative content with a community.
Chatbase
Chatbase is a cloud-based platform for building, deploying, and improving AI agents for customer support, sales, and user engagement. Users can connect business knowledge and external systems, define instructions and procedures, deploy agents across supported channels, and analyze conversations to improve results.
ChatGPT
ChatGPT is OpenAI's general-purpose conversational AI assistant. It can answer questions, generate and edit text, search the web, conduct multi-step research, analyze files and structured data, generate and edit images, support coding, interact by voice, organize work in projects, and connect to supported external apps.
D-ID
D-ID is a platform for creating avatar-led videos, translating video content, generating synthetic speech, and deploying interactive visual agents. It provides a browser-based studio, REST and streaming APIs, integrations, and embeddable experiences for business, education, marketing, training, customer experience, and developer workflows.
Decagon
Decagon is an enterprise conversational AI platform that deploys customer-support agents across chat, email, voice, SMS, WhatsApp and custom surfaces. Agents can use connected knowledge sources and business systems to answer questions, retrieve customer context, execute approved workflows and escalate cases to human support teams.
Dify
Dify is an open-source platform for developing, deploying, and operating AI applications. It provides visual tools for creating chatbots, agents, chatflows, workflows, and RAG applications, along with model-provider configuration, knowledge bases, plugins, APIs, web app publishing, monitoring, and cloud or self-hosted deployment.
ElevenLabs
ElevenLabs is a standalone AI creative and developer platform for generating expressive speech, cloning and designing voices, transcribing audio, dubbing audio and video, creating music and sound effects, and building conversational voice agents. The platform also includes image and video generation tools through its broader creative workspace.
Fin AI Agent
Fin AI Agent is an AI agent for customer experience operations. It answers customer questions using approved company knowledge, performs configured procedures and data-connected actions, qualifies sales prospects, supports multiple communication channels, and escalates conversations to human agents when needed.
Forethought
Forethought is an enterprise customer support AI platform that provides autonomous support agents, agent-assistance tools, ticket classification, workflow automation, knowledge-gap analysis, and support performance insights. It integrates with existing help desks, CRMs, knowledge bases, contact-center systems, and API connectors to automate customer-service workflows across chat, email, voice, Slack, mobile, and other channels.
Frase
Frase is an AI-powered platform for SEO and generative engine optimization. It researches search results and competitor content, creates briefs and drafts, scores content for Google and AI search, supports publishing to multiple CMS platforms, monitors published pages, and tracks whether AI engines cite a website.
Glean
Glean is a workplace AI platform that connects an organization's applications and knowledge sources to provide permission-aware search, AI-generated answers, document analysis, research, and configurable agents for automating business workflows. It is designed for enterprise deployments with administrator-managed connectors, identity controls, permissions, models, and integrations.
Gorgias
Gorgias is a customer support and conversational commerce platform for ecommerce brands. It combines a multichannel helpdesk with AI Agent automation, shared team workflows, help center and knowledge-base tools, commerce integrations, analytics, and configurable actions that can update connected systems.
HubSpot Breeze
HubSpot Breeze is HubSpot's embedded AI platform for marketing, sales, customer service, content, and CRM operations. It combines Breeze Assistant, Breeze Agents, Breeze Intelligence, custom assistants, knowledge sources, content-generation tools, data enrichment, customer-service automation, and other AI features across the HubSpot customer platform.
Langflow
Langflow is an open-source, Python-based visual framework for building AI applications, retrieval-augmented generation pipelines, tool-using agents, multi-agent workflows, APIs, and MCP servers. It provides a visual editor with reusable components, while allowing developers to extend flows with Python and deploy them locally, in containers, or on Kubernetes.
Lindy
Lindy is a standalone AI assistant and agent platform that helps individuals and teams perform work across connected business applications. It can manage email and meetings, answer questions from approved sources, build custom agents, run scheduled workflows, create reports and documents, and take actions through integrations or a cloud computer. Lindy is designed for business workflows rather than only conversational question answering.
MagicSchool
MagicSchool is a web-based AI platform for educators, students, schools, and districts. It combines teacher productivity tools for planning and instructional content with student-facing tutoring, research, writing, quiz, and AI literacy tools. Teachers can configure Student Rooms and custom tools, while enterprise customers can add integrations, administrative controls, dashboards, and district-specific safeguards.
MindStudio
MindStudio is a web-based platform for building, testing, deploying, and operating custom AI agents and AI-powered applications. Users can combine AI models, prompts, logic, data sources, APIs, custom code, external integrations, schedules, webhooks, email triggers, browser extensions, and MCP servers into reusable workflows.
n8n
n8n is a visual workflow automation and AI orchestration platform that connects applications, APIs, databases, AI models and internal systems. Users can build workflows with a node-based canvas, run them in n8n Cloud or self-host them, and extend the platform with code and custom nodes.
Poe
Poe is a Quora-operated platform that lets users access and compare bots powered by multiple third-party AI model providers. It supports conversational AI, user-created bots, group chats, and bots for text, image, video, audio, translation, programming, and other tasks.
Relevance AI
Relevance AI is a low-code platform for creating, deploying, and managing AI agents, tools, knowledge bases, and multi-agent workforces. Agents can use connected applications, private business knowledge, APIs, triggers, schedules, and multi-step workflows to automate sales, customer support, research, operations, and other business processes.
Replit
Replit is a browser-based software development and deployment platform with AI agents for creating, editing, testing, and shipping applications. It combines an online code workspace, natural-language app generation, cloud runtimes, databases, integrations, version control, collaboration, and publishing tools.
Salesforce Agentforce
Salesforce Agentforce is a Salesforce-native platform for building, configuring, deploying, and managing autonomous AI agents. Agents can use Salesforce and connected business data, follow instructions and business rules, retrieve knowledge, create action plans, execute configured actions, update records, support customers and employees, and escalate work to human teams. Agentforce includes low-code and no-code tools such as Agentforce Builder and can connect to Flows, Prompt Builder, Apex, MuleSoft APIs, AgentExchange, and MCP-enabled services. ([salesforce.com](https://www.salesforce.com/agentforce/?bc=OTH&utm_source=openai))
Sierra
Sierra is an enterprise conversational AI platform that enables organizations to build, deploy, and optimize customer-service agents. Agents can operate across voice, chat, email, SMS, messaging, and ChatGPT; use company knowledge and policies; connect to systems of record; perform actions such as changing reservations or processing exchanges; and hand off unresolved conversations to human teams with context.
Synthflow AI
Synthflow AI is a no-code platform for designing, testing, deploying, and monitoring AI voice and chat agents. It supports inbound and outbound phone calls, web voice widgets, API-based conversations, chat agents, WhatsApp, SMS, knowledge bases, structured workflows, telephony, CRM and automation integrations, analytics, and webhooks.
Taskade
Taskade is a cloud-based collaborative workspace that combines project and task management with AI assistants, custom AI agents, knowledge bases, app generation, integrations and multi-step workflow automation. Users can organize work in shared workspaces, build agents trained on workspace content, create apps from prompts and connect external services through automations.
Voiceflow
Voiceflow is a cloud-based platform for designing, building, testing, deploying, and improving AI agents for customer experiences. Users can combine agentic playbooks with deterministic workflows, ground responses in connected knowledge sources, call external tools and APIs, publish to chat and voice channels, and review conversations through transcripts, evaluations, and analytics.
Workato
Workato is a cloud-based integration, automation, and orchestration platform that connects business applications, APIs, data sources, and internal systems. Users create recipes that trigger from application events, schedules, webhooks, or API requests and then execute multi-step actions across connected systems. The platform also includes AIRO for AI-assisted automation building, AI agents and skills, knowledge bases, API management, data orchestration, analytics, and MCP support.
WRITER
WRITER is an enterprise AI platform for creating, deploying, and governing AI agents and automated workflows. It combines WRITER Agent, Knowledge Graph grounding, playbooks, routines, connectors, model management, guardrails, and enterprise administration. Users can generate and edit content, research information, analyze connected data, create documents and presentations, and take approved actions in external systems.
Zendesk AI
Zendesk AI is the AI layer within Zendesk's customer-service platform. It supports customer-facing AI agents, agent assistance, intelligent triage, knowledge-grounded answers, workflow automation, reporting, and custom agent development for service teams.
What are AI chatbots?
AI chatbots are software applications that communicate with users through text or voice. They use natural-language processing, generative AI, and often large language models to interpret requests and produce responses. Unlike strictly scripted bots, modern AI chatbots can handle varied wording, maintain context across multiple turns, summarize or transform information, and generate new content.
Some chatbots are general-purpose assistants, while others focus on customer service, internal knowledge, sales, education, technical support, or a particular industry. A chatbot may only provide conversational answers, or it may connect to documents, databases, business applications, and approved tools to complete actions.
What can AI chatbots do?
- Answer questions, explain concepts, and provide recommendations.
- Draft, rewrite, translate, summarize, and organize text.
- Answer questions about uploaded documents or connected knowledge bases.
- Handle routine customer-service and employee-support requests.
- Collect information, qualify leads, route requests, or create support tickets.
- Help users practice languages, learn concepts, brainstorm, or rehearse conversations.
- Support voice conversations where hands-free or accessibility-focused interaction is useful.
Common AI chatbot workflows
General assistance
A user asks a question, follows up, requests clarification, and refines the result through several conversational turns. This is the typical workflow for general-purpose chatbot assistants.
Document and knowledge-base questions
The chatbot receives files or connects to an approved information source, then answers questions, summarizes material, or extracts details. For business use, permissions and source citations matter because a fluent answer is not necessarily grounded in the correct information.
Customer and employee support
A chatbot can answer frequently asked questions, collect basic details, guide users through procedures, and hand unusual or sensitive cases to a human representative. The quality of escalation and access controls is as important as the conversational experience.
Task assistance
Some systems can call approved integrations to perform actions such as looking up records, booking appointments, creating tickets, or entering data. These workflows should include authentication, permission checks, and approval steps for consequential actions.
Features to compare in AI chatbots
- Conversation quality: assess instruction following, context retention, clarity, multilingual performance, and the ability to handle ambiguous requests.
- Knowledge grounding: look for document upload, retrieval from approved sources, citations, freshness controls, and permission-aware access.
- Actions and integrations: check whether the chatbot supports the applications, APIs, connectors, and workflow steps your use case requires.
- Input and output modes: compare text, voice, images, files, structured responses, and accessibility features. Multimodal input does not necessarily mean the chatbot can generate images, audio, or video.
- Customization: consider system instructions, personas, memory settings, domain configuration, reusable bots, and knowledge controls.
- Administration: for team deployments, review analytics, conversation monitoring, testing tools, role-based access, audit logs, retention settings, and human handoff.
- Reliability: evaluate factuality, uncertainty handling, fallback behavior, latency, rate limits, uptime, and escalation procedures.
- Pricing and limits: compare free allowances, message or credit limits, model access, file handling, seats, usage-based charges, and separate enterprise costs.
Limitations and risks
AI chatbots can produce fluent but incorrect or unsupported answers. They may misunderstand ambiguous requests, rely on outdated information, reproduce bias, expose sensitive data, or follow malicious instructions in user input or retrieved documents. A confident tone is not evidence that an answer is accurate.
Use verification and human review for legal, medical, financial, employment, safety, and other high-impact decisions. Organizations should test representative prompts, difficult edge cases, connected-data permissions, escalation behavior, and failure handling before deploying a chatbot widely.
Privacy, security, and data use
- Check whether prompts, uploaded files, recordings, and outputs are stored, reviewed, or used to improve models.
- Review retention, deletion, encryption, access controls, data residency, subprocessors, and business-data isolation.
- Do not submit confidential, regulated, or personally identifiable information unless the deployment meets the relevant organizational and legal requirements.
- Test whether connected knowledge sources enforce the same permissions as the underlying systems.
- Review ownership, licensing, confidentiality, and commercial-use terms for both uploaded material and generated outputs.
- For companion-style chatbots, consider age restrictions, disclosure that the user is interacting with AI, emotional reliance, and safeguards for minors and vulnerable users.
AI chatbots compared with related categories
- AI assistants: AI assistants are a closely related category that may combine chat with broader productivity, search, file, or application features. The AI assistants category is useful when the primary product is a general digital helper rather than a narrowly focused chatbot.
- AI search tools: AI search focuses on finding and synthesizing information from the web or a defined corpus, often with citations. A chatbot may include search, but conversation is its primary interface.
- AI agents and agent builders: agents are designed to plan and execute multi-step tasks with tools, memory, and workflows. Some chatbots include agent-like actions, but a basic chatbot may only answer questions.
- Research tools: research tools emphasize systematic discovery, comparison, organization, and citation of evidence. A general chatbot may explain a topic without conducting comprehensive research.
- Writing assistants: writing tools specialize in drafting, editing, grammar, style, and document workflows. Chatbots can perform these tasks but may not be optimized for them.
- Customer-service automation: customer-service automation can combine chatbots with rules, search, workflow software, and human support. Not every customer-service bot uses generative AI.
How to evaluate the tools listed here
Start with the job the chatbot must perform: general conversation, document assistance, customer support, internal help, education, lead qualification, or task execution. Test realistic prompts and follow-up questions rather than judging a single demonstration. For business use, give equal attention to grounding, integrations, permissions, monitoring, privacy, escalation, and total usage costs. The best fit is the tool whose capabilities and controls match the consequences of getting an answer or action wrong.