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Average price: 68 products listed
68 Listings in AI Chatbots Available
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,
Price range
$19–$45/mo
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68 tools
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52 added
What is Kasisto? Kasisto is a conversational banking AI agent offering KAI, a conversational AI platform built for banks and credit unions. Founded in 2013 and based in New York, New York, USA, Kasisto helps banks and credit unions automate conversational banking work and get results faster. Key capabilities of Kasisto Banking-trained virtual assistants Agent assist Digital banking integration Analytics Regulatory compliance Omnichannel support How Kasisto works Kasisto takes text and audio as input and produces text. It is powered by KAI GPT models, with the vendor managing prompts, models and updates. It connects to tools such as Core banking systems, Salesforce, Jack Henry and Fiserv, so the agent works inside existing workflows. Who uses Kasisto? Kasisto is built for banks and credit unions. It suits teams that want banking-trained virtual assistants and agent assist without adding headcount, while keeping people in control of review and final decisions. Kasisto vs interface.ai Kasisto is often compared with interface.ai. Kasisto stands out for banking-trained virtual assistants and digital banking integration. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Kata.ai? Kata.ai is an Indonesian conversational AI AI agent offering a conversational AI platform for Bahasa Indonesia chatbots across messaging channels. Founded in 2015 and based in Jakarta, Indonesia, Kata.ai helps enterprises in Indonesia automate Indonesian conversational AI work and get results faster. Key capabilities of Kata.ai Bahasa Indonesia NLP WhatsApp chatbots Omnichannel inbox Analytics Local language support Live agent handoff How Kata.ai works Kata.ai takes text as input and produces text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as WhatsApp, Instagram, Facebook Messenger and Salesforce, so the agent works inside existing workflows. Who uses Kata.ai? Kata.ai is built for enterprises in Indonesia. It suits teams that want Bahasa Indonesia NLP and WhatsApp chatbots without adding headcount, while keeping people in control of review and final decisions. Kata.ai vs Qiscus Kata.ai is often compared with Qiscus. Kata.ai stands out for Bahasa Indonesia NLP and omnichannel inbox. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Typebot? Typebot is a conversational form AI agent offering an open-source visual chatbot builder with AI blocks for forms, lead capture and support. Founded in 2021 and based in Paris, France, Typebot helps makers and marketing teams automate conversational form work and get results faster. Key capabilities of Typebot Visual flow builder OpenAI blocks Conversational forms Self-hosting option Train on your content Embeddable chat widget How Typebot works Typebot takes text as input and produces text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as WordPress, Shopify, WhatsApp and Slack, so the agent works inside existing workflows. Who uses Typebot? Typebot is built for makers and marketing teams. It suits teams that want visual flow builder and OpenAI blocks without adding headcount, while keeping people in control of review and final decisions. Typebot vs Landbot Typebot is often compared with Landbot. Typebot stands out for visual flow builder and conversational forms. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Friends & Fables? Friends & Fables is an AI tabletop RPG AI agent offering an AI game master for tabletop roleplaying games with campaigns, maps and characters. Friends & Fables helps tabletop RPG players automate AI tabletop RPG work and get results faster. Key capabilities of Friends & Fables AI game master Campaign management Character sheets Discord play Real-time interaction Content safety controls How Friends & Fables works Friends & Fables takes text as input and produces text and images. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Unity, Unreal Engine, Discord and Roblox, so the agent works inside existing workflows. Who uses Friends & Fables? Friends & Fables is built for tabletop RPG players. It suits teams that want AI game master and campaign management without adding headcount, while keeping people in control of review and final decisions. Friends & Fables vs Hidden Door Friends & Fables is often compared with Hidden Door. Friends & Fables stands out for AI game master and character sheets. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is boost.ai? boost.ai is a conversational AI AI agent offering a conversational AI platform with virtual agents for customer service in banking, insurance and public sector. Founded in 2016 and based in Stavanger, Norway, boost.ai helps banks, insurers and public sector automate conversational AI work and get results faster. Key capabilities of boost.ai Virtual agents Hybrid NLU and LLM Live chat handoff Multilingual support Human handoff Analytics dashboard How boost.ai works boost.ai takes text as input and produces text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce Service Cloud, Zendesk, Genesys and ServiceNow, so the agent works inside existing workflows. Who uses boost.ai? boost.ai is built for banks, insurers and public sector. It suits teams that want virtual agents and hybrid NLU and LLM without adding headcount, while keeping people in control of review and final decisions. boost.ai vs Kore.ai boost.ai is often compared with Kore.ai. boost.ai stands out for virtual agents and live chat handoff. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Sensay? Sensay is an AI replica AI agent offering a platform for creating AI replicas that preserve and share a person's or organization's knowledge through conversation. Sensay helps creators, families and organizations automate AI replica work and get results faster. Key capabilities of Sensay AI replicas Knowledge training Multi-channel chat Enterprise replicas Trained on your content Voice and text conversations How Sensay works Sensay takes text and documents as input and produces text and voice. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Website widgets, Slack, WhatsApp and Zoom, so the agent works inside existing workflows. Who uses Sensay? Sensay is built for creators, families and organizations. It suits teams that want AI replicas and knowledge training without adding headcount, while keeping people in control of review and final decisions. Sensay vs Delphi Sensay is often compared with Delphi. Sensay stands out for AI replicas and multi-channel chat. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Microsoft Copilot? Microsoft Copilot is a productivity assistant AI agent offering Microsoft AI assistant across Windows, Edge, Microsoft 365 and mobile. Founded in 2023 and based in Redmond, Washington, USA, Microsoft Copilot helps consumers and Microsoft 365 users automate productivity assistant work and get results faster. Key capabilities of Microsoft Copilot Microsoft 365 integration Web-grounded answers Image creation Copilot agents Image and file understanding Developer API How Microsoft Copilot works Microsoft Copilot takes text, image, audio and files as input and produces text and image. It is powered by OpenAI GPT and Microsoft models models, with the vendor managing prompts, models and updates. It connects to tools such as Web browsers, iOS, Android and Google Drive, so the agent works inside existing workflows. Who uses Microsoft Copilot? Microsoft Copilot is built for consumers and Microsoft 365 users. It suits teams that want Microsoft 365 integration and web-grounded answers without adding headcount, while keeping people in control of review and final decisions. Microsoft Copilot vs Gemini Microsoft Copilot is often compared with Gemini. Microsoft Copilot stands out for Microsoft 365 integration and image creation. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Coachvox AI? Coachvox AI is a coach clone AI agent offering an AI platform that lets coaches create an AI version of themselves trained on their content and methods. Coachvox AI helps coaches and consultants automate coach clone work and get results faster. Key capabilities of Coachvox AI Coach clone Client Q&A Lead generation Membership access Trained on your content Voice and text conversations How Coachvox AI works Coachvox AI takes text and documents as input and produces text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Website widgets, Slack, WhatsApp and Zoom, so the agent works inside existing workflows. Who uses Coachvox AI? Coachvox AI is built for coaches and consultants. It suits teams that want coach clone and client Q&A without adding headcount, while keeping people in control of review and final decisions. Coachvox AI vs Delphi Coachvox AI is often compared with Delphi. Coachvox AI stands out for coach clone and lead generation. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is BotPenguin? BotPenguin is an AI chatbot maker AI agent offering an AI chatbot maker for websites, WhatsApp, Instagram and Telegram. BotPenguin helps SMBs and agencies automate AI chatbot maker work and get results faster. Key capabilities of BotPenguin Multichannel chatbots AI answers Live chat CRM integrations Train on your content Human handoff How BotPenguin works BotPenguin takes text as input and produces text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as WordPress, Shopify, WhatsApp and Facebook Messenger, so the agent works inside existing workflows. Who uses BotPenguin? BotPenguin is built for SMBs and agencies. It suits teams that want multichannel chatbots and AI answers without adding headcount, while keeping people in control of review and final decisions. BotPenguin vs Botsify BotPenguin is often compared with Botsify. BotPenguin stands out for multichannel chatbots and live chat. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Zwiz.ai? Zwiz.ai is a social commerce chatbot AI agent offering an AI chatbot platform for Thai businesses that automates sales and replies on Facebook, LINE and Instagram. Based in Thailand, Zwiz.ai helps online sellers in Thailand automate social commerce chatbot work and get results faster. Key capabilities of Zwiz.ai Comment auto-replies Chat sales Order taking Broadcast messaging Local language understanding Messaging channel bots How Zwiz.ai works Zwiz.ai takes text as input and produces text and orders. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as LINE, WhatsApp, Facebook Messenger and Zalo, so the agent works inside existing workflows. Who uses Zwiz.ai? Zwiz.ai is built for online sellers in Thailand. It suits teams that want comment auto-replies and chat sales without adding headcount, while keeping people in control of review and final decisions. Zwiz.ai vs Botnoi Zwiz.ai is often compared with Botnoi. Zwiz.ai stands out for comment auto-replies and order taking. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Replika? Replika is a companion AI agent offering an AI companion app for conversation, emotional support and personal reflection. Founded in 2017 and based in San Francisco, California, USA, Replika helps adults seeking companionship and conversation automate companion work and get results faster. Key capabilities of Replika Companion conversations Voice and video calls Memory of past chats AR experiences Image and file understanding Developer API How Replika works Replika takes text and audio as input and produces text and audio. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Web browsers, iOS, Android and Google Drive, so the agent works inside existing workflows. Who uses Replika? Replika is built for adults seeking companionship and conversation. It suits teams that want companion conversations and voice and video calls without adding headcount, while keeping people in control of review and final decisions. Replika vs Character.AI Replika is often compared with Character.AI. Replika stands out for companion conversations and memory of past chats. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Inbenta? Inbenta is a conversational AI and search AI agent offering a conversational AI platform with chatbots, AI search and knowledge management. Founded in 2005 and based in Sunnyvale, California, USA, Inbenta helps enterprise customer service teams automate conversational AI and search work and get results faster. Key capabilities of Inbenta Symbolic and generative AI chatbots AI search Knowledge base Ticketing Human handoff Analytics dashboard How Inbenta works Inbenta takes text as input and produces text. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Salesforce Service Cloud, Zendesk, Genesys and ServiceNow, so the agent works inside existing workflows. Who uses Inbenta? Inbenta is built for enterprise customer service teams. It suits teams that want symbolic and generative AI chatbots and AI search without adding headcount, while keeping people in control of review and final decisions. Inbenta vs Ada Inbenta is often compared with Ada. Inbenta stands out for symbolic and generative AI chatbots and knowledge base. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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Saaskart Market Grid™
Explore how leading AI Chatbots solutions compare based on customer satisfaction, market presence, adoption, and buyer feedback. The Market Grid helps you identify category leaders, high-performing solutions, and emerging products within the AI Chatbots ecosystem.
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Character.AI
#1 in AI Chatbots
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Chatbase
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Character.AI
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AI chatbots use large language models to hold natural, context-aware conversations with customers and employees across web, app, and messaging channels. This guide explains what AI chatbots are, how they work, the capabilities that matter, and how to choose the right platform.
AI chatbots use large language models to hold natural, context-aware conversations with customers and employees across web, app, and messaging channels. This guide explains what AI chatbots are, how they work, the capabilities that matter, and how to choose the right platform.
An AI chatbot is a conversational agent powered by natural language processing and, increasingly, large language models (LLMs). Unlike rigid, rules-based bots that only follow scripted decision trees, modern AI chatbots understand intent, remember context within a conversation, and generate fluent, relevant responses.
AI chatbots are deployed for customer support, lead qualification, internal help desks, and self-service across websites, mobile apps, WhatsApp, Slack, and other channels. They can answer questions from a knowledge base, take actions through integrations, and hand off to a human when needed.
The category has shifted from intent-and-entity NLU bots to retrieval-augmented, LLM-powered assistants that ground answers in your own content. Buyers now evaluate accuracy, guardrails, data privacy, and how cleanly the bot escalates to people as much as raw conversational ability.
A user sends a message; the chatbot interprets intent and context, retrieves relevant information (often via retrieval-augmented generation over your knowledge base), and generates a response. Conversation state is maintained so follow-up questions make sense.
Most platforms combine an LLM, a knowledge layer (documents, FAQs, product data), an actions layer (API calls to look up orders, book meetings, create tickets), and a guardrail layer that constrains tone, scope, and what the bot is allowed to say or do.
Administrators connect content sources, define escalation rules, and review transcripts and analytics. Over time the bot is tuned by improving source content, adjusting prompts and guardrails, and adding new integrations and actions.
LLM-based comprehension of intent, context, and follow-ups so users can ask questions in their own words instead of navigating menus.
Retrieval-augmented generation grounds answers in your documents, help center, and data, reducing hallucinations and keeping responses accurate and on-brand.
Beyond answering, the bot can take action, look up an order, reset a password, book a demo, or create a ticket, through API and app integrations.
Seamless escalation to live agents with full conversation context when the bot reaches its limits or the user requests a person.
One bot deployed across website, in-app, WhatsApp, Messenger, Slack, and more, with consistent answers everywhere.
Controls for tone, scope, and safety, plus transcripts, deflection metrics, and CSAT to measure and improve performance.
Customers and employees get immediate answers at any hour, improving experience and reducing wait times.
Self-service resolution of common questions reduces support volume so human agents focus on complex, high-value issues.
Handle spikes and growth in conversation volume without linearly adding staff.
Grounded responses keep messaging accurate and consistent across every channel and shift.
Conversation analytics reveal what users ask, where content gaps exist, and where to improve products and docs.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| LLM / RAG chatbots | Support and self-service grounded in your content | Startups to enterprise | Fluent, accurate, fast to deploy on existing docs | Requires good source content and guardrails |
| Rules-based / flow bots | Highly scripted, deterministic flows | Any | Predictable, easy to control | Brittle; can't handle novel questions |
| Voice AI agents | Phone and voice channels | Mid-market to enterprise | Automates call centers | Higher complexity and latency sensitivity |
| Internal/employee assistants | IT and HR help desks | Mid-market to enterprise | Deflects internal tickets | Needs access controls over sensitive data |
Retail & E-commerce: Answer order, shipping, and product questions and recover carts 24/7.
Financial Services: Handle account and policy questions with strict guardrails and audit trails.
Healthcare: Triage queries and surface information while protecting sensitive data.
Technology: Scale product support and developer self-service from documentation.
Education: Answer admissions, enrollment, and student-services questions at scale.
Professional Services: Qualify inbound leads and book meetings automatically.
Test the bot on your real content and questions. Prioritize platforms with strong retrieval grounding and low hallucination rates.
Confirm clean handoff to human agents with full context, on the channels and help desk you already use.
Verify it can connect to your CRM, help desk, and systems to take actions, not just answer.
Check where data is processed, whether prompts/transcripts train shared models, and SOC 2 / GDPR posture.
Make sure it supports the channels your audience actually uses (web, WhatsApp, in-app, voice).
Understand pricing by conversation, resolution, or seat, and how it scales with volume.
Chatbots are evolving from answer engines into agents that complete multi-step tasks, processing a return, rescheduling an appointment, or updating an account end to end.
Voice and multimodal interfaces are expanding chatbots beyond text into phone, image, and screen-aware support.
Tighter grounding, citations, and confidence signals are making answers more trustworthy and auditable.
Buyers should favor platforms with transparent data governance, strong guardrails, and a credible roadmap toward action-taking agents.
An AI chatbot is a conversational agent powered by natural language processing and large language models that understands user intent, maintains context, and generates relevant responses. Unlike scripted bots, it can answer free-form questions grounded in your knowledge base, take actions through integrations, and escalate to a human when needed, across web, app, and messaging channels.
Rules-based bots follow fixed decision trees and break when users phrase things unexpectedly. AI chatbots use LLMs to understand intent and context, so they handle novel questions, follow-ups, and natural language. The best modern bots combine LLM fluency with retrieval grounding for accuracy and guardrails for safety.
Yes. By resolving common questions through self-service, AI chatbots deflect a meaningful share of tickets so human agents can focus on complex, high-value issues. They also provide 24/7 coverage and scale through volume spikes without adding headcount. Actual savings depend on your question mix and content quality.
They can, but retrieval-augmented generation (RAG) sharply reduces it by grounding answers in your approved content rather than the model's open-ended memory. When evaluating vendors, test on your real questions and look for citations, confidence signals, and guardrails that keep the bot within scope.
Modern platforms deploy a single bot across website widgets, in-app, WhatsApp, Facebook Messenger, Slack, Microsoft Teams, and increasingly voice, with consistent answers everywhere. Confirm the specific channels your audience uses are supported natively.
Reputable platforms offer encryption, SSO, access controls, and SOC 2 / GDPR compliance, and let you control data retention. Critically, confirm whether your prompts and transcripts are used to train shared models, enterprise plans typically guarantee they are not.
Grounded LLM chatbots can often launch in days to a few weeks because they learn from your existing help content rather than requiring hand-built flows. Timelines extend with deeper integrations, custom actions, and multi-channel rollouts.
Prioritize answer accuracy on your own content, clean human handoff, integrations and actions, data privacy, channel coverage, and transparent pricing. Run a trial with your real documents and questions before committing, and review analytics for deflection and CSAT.
