AI glossary for content assistants
Plain-English definitions of 13,917 AI terms for branded assistant teams.
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Glossary
13,917 terms. Open one for definitions and related concepts.
IVR
IVR (Interactive Voice Response) is a phone system technology that uses menus and keypad inputs to route callers and provide automated responses.
FAQ Bot
An FAQ bot is a chatbot specifically designed to answer frequently asked questions by matching user queries to a curated knowledge base.
Customer Support Bot
A customer support bot automates customer service interactions, handling inquiries, troubleshooting, and routing complex issues to human agents.
Sales Bot
A sales bot engages website visitors in conversations to qualify leads, answer product questions, and guide prospects through the buying process.
Onboarding Bot
An onboarding bot guides new users through product setup and initial experience using interactive, conversational walkthroughs.
Internal Chatbot
An internal chatbot serves employees within an organization, providing instant access to company knowledge, policies, and workflows.
Chat Widget
A chat widget is an embeddable interface element, typically a floating button and panel, that enables chatbot interaction on websites.
Chat Bubble
A chat bubble is the visual container for individual messages in a chat interface, styled differently for user and bot messages.
Embed Code
An embed code is a JavaScript snippet that website owners add to their pages to install and display a chat widget or chatbot.
Omnichannel
Omnichannel refers to providing a seamless conversational experience across multiple communication channels with unified context.
WhatsApp Chatbot
A WhatsApp chatbot is an automated conversational agent deployed on WhatsApp Business API to interact with customers on the messaging platform.
Conversation Flow
A conversation flow is the designed path and logic of a chatbot interaction, defining how the bot guides users through dialogues.
Dialogue Management
Dialogue management is the component that tracks conversation state, decides the next action, and maintains coherent multi-turn interactions.
Multi-Turn Conversation
A multi-turn conversation involves multiple exchanges between user and bot, maintaining context and building on previous messages.
Conversation Context
Conversation context is the accumulated information from previous messages that informs how a chatbot interprets and responds to new inputs.
Conversation History
Conversation history is the stored record of all messages exchanged between a user and chatbot, enabling context continuity and analytics.
Intent Recognition
Intent recognition is the process of identifying what a user wants to accomplish from their natural language message.
Entity Extraction
Entity extraction identifies and extracts structured information like names, dates, and numbers from unstructured user messages.
Sentiment Analysis
Sentiment analysis detects the emotional tone of user messages, identifying whether they express positive, negative, or neutral feelings.
System Prompt
A system prompt is the instruction set given to an LLM that defines the chatbot personality, behavior rules, and response guidelines.
Typing Indicator
A typing indicator is a visual cue (typically animated dots) that shows the chatbot is processing and generating a response.
Quick Reply
Quick replies are predefined clickable button options presented to users for fast, guided responses in chatbot conversations.
Rich Message
A rich message is a chatbot response that goes beyond plain text, including images, cards, buttons, carousels, and interactive elements.
Guided Conversation
A guided conversation uses structured prompts and options to lead users through a specific workflow or information-gathering process.
Human Handoff
Human handoff is the process of transferring a chatbot conversation to a human agent when the bot cannot adequately resolve the issue.
Live Chat
Live chat is real-time text communication between a customer and a human support agent, often integrated with chatbot systems.
Ticket Deflection
Ticket deflection is the reduction in human support tickets achieved by chatbots resolving customer issues without agent involvement.
Call Deflection
Call deflection is the strategy of redirecting phone support calls to digital channels like chatbots, reducing call center volume and costs.
Customer Satisfaction
Customer satisfaction (CSAT) in chatbot context measures how satisfied users are with their chatbot interaction experience.
Self-Service
Self-service enables customers to find answers and resolve issues independently through chatbots, knowledge bases, and automated tools.
Widget Customization
Widget customization is the ability to style and configure a chat widget appearance to match brand identity and website design.
Chatbot Persona
A chatbot persona is the designed personality, voice, and character traits that define how a chatbot communicates with users.
No-Code Chatbot
A no-code chatbot platform allows creating and deploying chatbots through visual interfaces without any programming knowledge.
Proactive Messaging
Proactive messaging is when a chatbot initiates conversation with users based on their behavior, context, or predefined triggers.
Lead Generation
Lead generation through chatbots is the process of capturing potential customer information through conversational engagement.
Lead Qualification
Lead qualification through chatbots is the automated process of evaluating whether a prospect matches ideal customer criteria through conversation.
Decision Tree
A decision tree in chatbot context is a branching logic structure that guides conversation based on user responses at each node.
Fallback Response
A fallback response is a chatbot reply used when it cannot understand or answer the user query, guiding them toward alternative help.
Message Rendering
Message rendering is the process of displaying chatbot messages in the interface, including text formatting, markdown, code blocks, and rich content.
Welcome Message
A welcome message is the initial greeting displayed when a user opens a chatbot, setting expectations and encouraging engagement.
Knowledge Base
A knowledge base is the curated collection of information that a chatbot draws from to answer user questions accurately.
Conversation Starter
Conversation starters are predefined prompts or buttons that help users begin chatbot interactions with common topics or questions.
Speech to Text
Speech to text (STT) converts spoken language into written text, enabling voice input for chatbots and voice assistants.
Text to Speech
Text to speech (TTS) converts written text into spoken audio, enabling chatbots to deliver voice responses.
Embedded Chat
An embedded chat is a conversational interface integrated directly into a web page or application rather than opening as a separate window.
Chat Window
A chat window is the visual container that displays the conversation between a user and a chatbot or live agent.
Chat Launcher
A chat launcher is the button or trigger element that opens the chat widget interface when clicked by a user.
Floating Chat Button
A floating chat button is a persistent, fixed-position button that remains visible as users scroll, providing constant access to the chat interface.
Turn owned content into answers
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Interactive FAQ
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Product FAQ
What is InsertChat?
InsertChat is a white-label AI assistant for your website. Train it, brand it, publish it, and learn from visitor questions.
How does InsertChat use my website content?
Connect approved pages, docs, videos, FAQs, policies, and other sources. InsertChat turns them into source-backed answers and next steps.
Can I control the assistant's tone and sources?
Yes. Choose its sources, tone, welcome message, and prompts so it stays on brand.
How does InsertChat stay accurate?
Answers use approved content and source links. Analytics show unclear or missing answers so you can improve coverage.
Can it collect leads or route support questions?
Yes. InsertChat can collect details, qualify intent, add context, and send chats to the right inbox, CRM, workflow, or person.
Can I control how the assistant behaves?
Yes. Control prompts, model choice, tool access, and the branded assistant experience so behavior stays consistent.
Which AI models can I use?
InsertChat supports multiple model providers. Choose each assistant's model for quality, speed, and cost, or use BYOK.
Can I pick different models for different workflows?
Yes. Use a faster model for common questions and a stronger model for complex reasoning. InsertChat supports that balance per conversation.
Where can I deploy an assistant?
Use a widget, embed, full-page assistant, custom domain, in-app embed, or API. Reuse one setup across surfaces.
Do I need coding skills?
No. Build and deploy AI assistants using our visual builder. The embed code is one line of JavaScript.
Can I customize the branding and UI?
Yes. Customize the assistant name, logo, colors, welcome message, suggested prompts, tone, domain, and white-label presentation.
Can I use my own domain?
Yes. Custom domains are supported, typically via enterprise options.
Does InsertChat support voice?
Yes. Voice dictation and text-to-speech let users speak instead of type.
Does InsertChat support vision?
Yes. Enable vision for assistants when images help clarify a request or context.
What tools and integrations are supported?
Zendesk, HubSpot, Shopify, WooCommerce, calendar booking, web search, Perplexity, and webhooks for your own systems.
Can I control which tools the assistant is allowed to use?
Yes. Tool access is controlled per assistant so you enable only what you need.
Can the agent hand off to a human?
Yes. Configure human handoff so the agent escalates when needed. Full conversation history is passed along.
Do you provide analytics?
Yes. Track chats, leads, feedback, top questions, unanswered questions, most-used sources, and content gaps.
Is it mobile friendly?
Yes. The widget and embeds work well on desktop and mobile with no separate experience needed.
What's the fastest path to a successful deployment?
Start with one assistant and a small set of high-value sources. Iterate using real questions from analytics.
What is the fastest way to get started?
Create an account. Connect one key source. Ask a test question, brand the assistant, then publish it on one page.