AI glossary for content assistants
Plain-English definitions of 13,917 AI terms for branded assistant teams.
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13,917 terms. Open one for definitions and related concepts.
Conversion Rate
Conversion rate measures the percentage of visitors, users, or leads that take a desired action, such as signing up, subscribing, or completing a purchase.
Customer Experience
Customer experience (CX) is the overall perception customers form across all interactions with a business, from initial awareness through purchase, support, and retention.
Customer Journey
The customer journey maps all touchpoints and experiences a customer goes through from initial awareness to purchase, onboarding, ongoing use, and advocacy.
Customer Support
Customer support assists customers with questions, issues, and requests through various channels, increasingly augmented or automated by AI chatbots and tools.
Contact Center
A contact center manages customer interactions across multiple channels (phone, chat, email, social media), increasingly using AI for automation, routing, and agent assistance.
Omnichannel Support
Omnichannel support provides seamless customer service across all channels (chat, email, phone, social media) with consistent context and experience regardless of channel.
Knowledge Management
Knowledge management organizes, maintains, and delivers organizational knowledge to customers and agents, serving as the foundation for AI chatbot answers and self-service.
Ticket Management
Ticket management systems track and manage customer support requests from creation to resolution, increasingly using AI for classification, routing, and prioritization.
SLA Management
SLA management tracks and enforces Service Level Agreements that define response time commitments, resolution targets, and uptime guarantees for AI and support services.
Marketing Automation
Marketing automation uses AI and software to automate repetitive marketing tasks like email campaigns, lead nurturing, social posting, and customer segmentation.
Personalization
Personalization uses AI to tailor content, recommendations, and experiences to individual users based on their behavior, preferences, and context.
Product Recommendation
Product recommendation systems use AI to suggest relevant products to users based on their behavior, preferences, purchase history, and similarity to other users.
A/B Testing
A/B testing compares two versions of a feature, page, or experience to determine which performs better, using statistical analysis to make data-driven decisions.
Lead Scoring
Lead scoring uses AI to rank prospects by their likelihood to convert into paying customers, helping sales teams prioritize their most promising opportunities.
Conversational Marketing
Conversational marketing uses AI chatbots and messaging to engage prospects in real-time dialogue, qualifying leads and accelerating the sales cycle through conversation.
Enterprise AI
Enterprise AI refers to artificial intelligence solutions designed for large organizations, with requirements for security, compliance, scalability, and integration with existing systems.
Enterprise Chatbot
An enterprise chatbot is an AI conversational agent designed for large organizations, with features for security, compliance, integration, and multi-department deployment.
Enterprise Search
Enterprise search uses AI to find information across all organizational data sources, enabling employees to discover knowledge from documents, wikis, databases, and communication tools.
Intelligent Automation
Intelligent automation combines AI with process automation to handle complex tasks that require understanding, decision-making, and adaptation beyond simple rule-based workflows.
Robotic Process Automation
Robotic Process Automation (RPA) uses software bots to automate repetitive, rule-based tasks by mimicking human interactions with digital systems.
RPA
RPA stands for Robotic Process Automation, the technology that automates routine digital tasks using software bots that interact with applications like humans do.
AI Copilot
An AI copilot is an AI assistant that works alongside humans in their workflow, augmenting their capabilities with suggestions, automation, and intelligent assistance.
AI Assistant
An AI assistant is a software agent that uses artificial intelligence to help users accomplish tasks through natural language interaction, from answering questions to executing actions.
Code Assistant
A code assistant is an AI tool that helps developers write, debug, and understand code through suggestions, completions, explanations, and automated code generation.
Healthcare AI
Healthcare AI applies artificial intelligence to healthcare, including medical imaging analysis, drug discovery, clinical decision support, patient communication, and administrative automation.
Financial AI
Financial AI applies artificial intelligence to financial services, including fraud detection, algorithmic trading, risk assessment, customer service, and regulatory compliance.
Legal AI
Legal AI applies artificial intelligence to legal work, including contract analysis, legal research, document review, compliance monitoring, and client communication.
Education AI
Education AI applies artificial intelligence to learning and teaching, including personalized tutoring, content generation, assessment automation, and administrative support.
Retail AI
Retail AI applies artificial intelligence to retail operations, including product recommendation, demand forecasting, pricing optimization, visual search, and customer engagement.
Predictive Maintenance
Predictive maintenance uses AI and sensor data to forecast equipment failures before they occur, enabling proactive repairs that prevent costly unplanned downtime.
Model-as-a-Service
Model-as-a-Service (MaaS) provides access to pre-trained AI models through APIs, allowing businesses to integrate AI capabilities without training or hosting models themselves.
Pay-per-Request
Pay-per-request pricing charges businesses for each individual API call or transaction made to an AI service, regardless of the computational complexity involved.
Consumption-based Pricing
Consumption-based pricing charges customers based on actual resource usage rather than fixed subscriptions, aligning costs directly with the value received from AI services.
Tier-based Pricing
Tier-based pricing offers AI products at multiple predefined plan levels, each with increasing features, usage limits, and price points to serve different customer segments.
Volume Discount
Volume discounts reduce the per-unit cost of AI services as usage increases, rewarding high-volume customers with lower rates for tokens, API calls, or conversations.
On-demand Pricing
On-demand pricing allows businesses to access AI services without commitments or contracts, paying standard rates for immediate access to compute, models, and features.
Seat-based Pricing
Seat-based pricing charges AI product fees per user or seat, making costs scale linearly with the number of team members who access the platform.
Cost per Lead
Cost per lead measures the average expense of generating a single qualified sales lead through AI-powered marketing and chatbot interactions.
Retention Rate
Retention rate measures the percentage of customers who continue using a product over a given period, indicating how well the business retains its user base.
Annual Recurring Revenue
Annual recurring revenue (ARR) is the total predictable revenue a business expects from subscriptions over a year, normalized to an annual value.
Activation Rate
Activation rate measures the percentage of new users who complete key actions that indicate they have experienced the core value of an AI product.
Engagement Rate
Engagement rate measures how actively and frequently users interact with an AI product, indicating product stickiness and the depth of user involvement.
Adoption Rate
Adoption rate tracks the percentage of a target audience that begins using an AI product or feature, measuring how quickly new technology spreads within an organization or market.
Utilization Rate
Utilization rate measures how much of an AI system capacity or allocation is actually being used, helping organizations optimize their AI investments.
First Contact Resolution
First contact resolution (FCR) measures the percentage of customer issues resolved during the initial interaction without requiring follow-up contacts or escalation.
Mean Time to Resolution
Mean time to resolution (MTTR) is the average time taken to fully resolve a customer issue from initial contact to confirmed resolution.
ROI for AI
ROI for AI specifically focuses on measuring the financial return of artificial intelligence investments, accounting for the unique costs and benefits of AI systems.
Customer Touchpoint
A customer touchpoint is any interaction between a customer and a business, which AI can optimize, automate, or personalize across the entire customer journey.
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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.