intoCHAT

• No-code AI agent builder for creating and deploying customer-facing chatbots
• Knowledge base training using websites, PDFs, DOCX, TXT, Markdown, spreadsheets, Notion, and external help centers
• Real-time API and webhook access for retrieving live business and customer data
• Lead qualification workflows that collect visitor information and synchronize leads with business systems
• Multilingual conversations with support for more than 80 languages
• Website embedding through a simple script with customizable branding, appearance, and chat behavior
• CRM and business integrations including Salesforce, HubSpot, Pipedrive, Zapier, Shopify, WordPress, and WhatsApp
• Conversation analytics for monitoring customer questions, engagement, resolution, and support trends
• Human handoff capabilities for transferring conversations that require assistance from support teams
• Security and enterprise controls including encryption, access controls, audit logs, SSO, and compliance features

intoCHAT

intoCHAT is an AI chatbot and agent platform designed to help businesses automate customer support, lead qualification, and customer engagement. The platform allows companies to create AI agents trained on their own websites, documents, knowledge bases, and business data, then deploy those agents across websites and supported communication channels.

AI Agent Builder

intoCHAT provides a no-code environment for building AI agents. Users can configure an agent, provide business knowledge, customize its appearance and behavior, and embed it on a website without developing a chatbot backend from scratch.

AI Customer Support

The platform is designed to answer customer questions automatically using information supplied by the business. Agents can understand conversational context and intent, allowing them to handle common support questions rather than relying only on keyword matching.

Knowledge Base

intoCHAT can build a knowledge base from multiple sources. Businesses can provide website URLs, documents, Notion content, help-center articles, spreadsheets, text, and question-and-answer information to give their AI agent access to company-specific knowledge.

Website Crawling

The website crawler allows businesses to enter a website URL and index its content. The system can detect sitemaps, process JavaScript-rendered pages, exclude selected paths, and periodically synchronize information so the knowledge base can reflect website changes.

Document Processing

intoCHAT supports business documents including PDF, DOCX, TXT, and Markdown files. The platform also provides OCR, table extraction, and smart chunking capabilities to help structure information for AI retrieval.

Spreadsheet Knowledge

Businesses can connect CSV and Excel files to provide structured information to their agents. This can be useful for product catalogs, pricing information, branch locations, and other datasets where answers depend on individual spreadsheet rows.

Notion and External Knowledge

intoCHAT can connect external knowledge sources such as Notion workspaces, Zendesk Help Center content, and Intercom Articles. These integrations allow existing business documentation to be incorporated into an AI agent rather than requiring teams to recreate information manually.

Real-Time API Access

intoCHAT can connect an AI agent to live business systems through APIs and webhooks. This allows an agent to retrieve information that changes frequently, such as order status, inventory levels, availability, pricing, or customer records.

Live Business Data

With appropriate API access, the AI agent can check live information during a conversation. For example, a customer asking about an order can receive information retrieved from the connected business system rather than relying solely on previously indexed documentation.

API and Webhook Integrations

The platform provides API connectivity for custom workflows. It supports custom headers, secure authentication, and OpenAPI or Swagger imports for supported integrations. Webhooks can also be used to connect chatbot activity with external systems.

Lead Qualification

intoCHAT can engage website visitors, collect contact information, and qualify prospects through conversational interactions. Businesses can configure qualification flows for different pages and customer scenarios.

CRM Synchronization

Qualified leads can be synchronized with supported CRM and automation platforms. intoCHAT lists integrations with Salesforce, HubSpot, Pipedrive, and Zapier, allowing captured customer information to move into existing sales workflows.

Multilingual Support

intoCHAT supports multilingual customer conversations and can automatically detect and respond in a visitor’s language. The platform currently advertises support for more than 80 languages.

Website Chat Widget

Businesses can embed an intoCHAT agent on their websites using a lightweight script. The documentation provides a chatbot ID that can be inserted into the site’s HTML, allowing the chat widget to appear without building a custom interface.

Chatbot Customization

Businesses can customize the appearance and behavior of their AI agents. Options include custom themes, colors, welcome messages, personalized chat flows, and branded widget experiences.

Conversation Context

intoCHAT is designed to maintain conversational context and recognize user intent. This allows customers to ask follow-up questions without having to repeat all the information from earlier messages in the same interaction.

Analytics Dashboard

The platform provides analytics for understanding how visitors interact with AI agents. Businesses can analyze conversation volumes, common customer questions, areas where users encounter difficulties, product interests, and other conversational trends.

Customer Insights

Conversation analytics can help businesses identify recurring support topics and customer interests. Instead of treating chatbot conversations only as support tickets, the platform presents them as a source of information about customer needs and questions.

Human Handoff

intoCHAT includes human handoff capabilities for situations where automated assistance is insufficient. Complex conversations can be transferred to human support teams so that customers can continue receiving assistance when an AI response is not appropriate.

Multi-Channel Support

intoCHAT supports deployment beyond a standard website chat widget. Its listed integrations include WhatsApp, Slack, Discord, WordPress, Shopify, and other business platforms, allowing organizations to connect AI support with existing communication channels.

WhatsApp Business

The WhatsApp integration allows businesses to connect AI conversations with WhatsApp Business. Agents can answer questions, provide supported updates, and qualify leads while conversations can be managed alongside website interactions.

Shopify Integration

intoCHAT provides a Shopify integration for ecommerce businesses. The agent can synchronize Shopify catalog information and help customers find products, answer product questions, provide product links, and work with supported inventory information.

WordPress Integration

The official WordPress plugin provides a way to embed an intoCHAT agent on WordPress websites. The plugin can automatically index supported website content, including pages and posts, and can also work with WooCommerce product information.

WooCommerce Support

For WordPress and WooCommerce websites, intoCHAT can use website and product information to answer customer questions. Supported workflows include product inquiries and order-related questions when the required information is available to the agent.

Ecommerce Support

intoCHAT is designed for ecommerce use cases such as product discovery, sizing questions, order tracking, inventory checks, shipping questions, and complementary product recommendations. Live API and Shopify capabilities can provide information that changes as store data changes.

Real-Time Inventory

Businesses can connect inventory information through supported APIs or ecommerce integrations. This allows an AI agent to check current stock information before answering product availability questions.

Order Tracking

With an appropriate API connection, intoCHAT can retrieve order information during a customer conversation. This allows customers to ask questions such as where an order is and receive information from the connected order system.

Enterprise AI Agents

intoCHAT provides enterprise-oriented controls for organizations that need greater governance over AI agents. Enterprise capabilities include API access, custom domains, SSO, audit logs, role-based controls, and dedicated support options.

Security

The platform states that customer data is protected using AES-256 encryption at rest and TLS encryption in transit. It also describes access controls, isolated model environments, and personally identifiable information redaction as part of its security approach.

Compliance

intoCHAT states that its infrastructure is SOC 2 compliant and designed to support GDPR requirements. Enterprise-oriented deployments can also provide additional controls such as SSO, audit logs, and configurable access management.

Data Protection

Businesses retain ownership of content they provide to intoCHAT under the platform’s terms. Uploaded knowledge-base material and conversation data are processed to provide the service, while the privacy policy describes how account, payment, chat, and uploaded content information is handled.

AI Models

intoCHAT supports multiple AI model options. Its feature documentation lists GPT-4o, Claude, and Gemini among the supported models, allowing businesses to select an appropriate model based on their use case and requirements.

Conversation Testing

The platform provides tools for testing chatbot behavior before deployment. Businesses can refine responses and conversation behavior using test interactions, helping teams identify issues before exposing an agent to website visitors.

Custom Chat Flows

Businesses can configure personalized conversation flows for different customer scenarios. These flows can support lead qualification, customer support, product discovery, and other interactions where the business wants the AI to follow specific conversational behavior.

Developer API

intoCHAT provides API access for organizations that need custom integrations. API functionality allows developers to connect AI agents with existing business systems and retrieve or process information beyond the static knowledge base.

Getting Started

The platform is designed to allow a basic AI agent to be created and embedded without complex backend development. The documented setup involves creating an account, obtaining a chatbot ID, adding the provided script to a website, and verifying the resulting chat widget.

Free Plan

intoCHAT provides a Free plan priced at $0 per month. The plan includes one agent and up to 25 conversations per month, making it possible to test the platform before moving to a paid plan.

Starter Plan

The Starter plan costs $19 per month and includes three agents and up to 2,500 conversations per month. It is positioned for small businesses and includes onboarding support.

Pro Plan

The Pro plan costs $49 per month and includes up to 10 agents and 10,000 conversations per month. It is positioned for growing teams and includes onboarding support.

Enterprise Plan

The Enterprise plan uses custom pricing and is intended for larger organizations. It provides unlimited agents and conversations along with full API access and enterprise-oriented controls and support.

Company Background

intoCHAT Inc. describes intoCHAT as a global AI platform founded in 2025. The company says the product began with the goal of giving businesses an AI-powered website support agent through a simple line of code, and has expanded into customer support, lead generation, integrations, and real-time business data access.

Frequently Asked Questions

What is intoCHAT?

intoCHAT is an AI chatbot and agent platform that helps businesses automate customer support, qualify leads, connect knowledge bases, and access real-time business information through AI conversations.

Can I create an intoCHAT agent without coding?

Yes. intoCHAT provides a no-code agent builder, while developers can also use APIs and custom integrations for more advanced implementations.

What information can I use to train intoCHAT?

intoCHAT supports websites, PDFs, DOCX, TXT, Markdown, CSV, Excel, Notion, Zendesk Help Center, Intercom Articles, manually entered text, and question-and-answer content.

Can intoCHAT access live business data?

Yes. Supported API and webhook integrations allow an agent to retrieve live information such as order status, inventory, pricing, availability, and customer records.

Does intoCHAT support Shopify?

Yes. intoCHAT provides a Shopify integration that can synchronize catalog information and support customer conversations involving products and inventory.

Does intoCHAT work with WordPress?

Yes. intoCHAT provides a WordPress plugin that can embed the chatbot and automatically index supported WordPress content. It also supports WooCommerce-related use cases.

How much does intoCHAT cost?

intoCHAT has a free plan at $0 per month. Paid plans start at $19 per month for Starter, while Pro costs $49 per month and Enterprise pricing is customized.

How many conversations are included in the Free plan?

The Free plan includes up to 25 conversations per month and one AI agent.

How many languages does intoCHAT support?

intoCHAT currently advertises support for more than 80 languages, with automatic language detection for customer conversations.

Does intoCHAT support human handoff?

Yes. The platform provides human handoff capabilities for conversations that require assistance from human support staff.

Does intoCHAT provide analytics?

Yes. Its analytics dashboard provides information about conversations, engagement, customer questions, support topics, and other interaction trends.

When was intoCHAT founded?

intoCHAT Inc. states that the company was founded in 2025. A specific public product launch date has not been reliably disclosed.

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