Reference
AI Chatbot Glossary
Plain-English definitions of the key terms behind AI chatbots, training, and modern customer support automation.
AI Chatbot Training
The process of feeding your AI assistant content — website pages, help articles, product docs — so it learns to answer questions specific to your business. Myntics automates this: point it at your URL and it ingests everything in under 60 seconds at 20+ pages per second.
Chatbot Persona
A persona defines how your AI communicates — its tone, expertise, and behavioral priorities. A legal SaaS might need a formal, precise tone; a DTC brand might want conversational and friendly. Myntics's Persona Builder lets you configure this without writing any prompts.
Hybrid Support
A model where AI handles routine questions automatically and hands off complex or high-value conversations to a human agent — with the full conversation context passed along so the customer never has to repeat themselves.
Conversation Flow Builder
A no-code visual tool for designing multi-step chatbot interactions. Drag and drop message nodes, conditions, and actions to define how your chatbot guides users through tasks like booking a demo, qualifying a lead, or routing a support ticket.
Website Scraper (for AI)
A tool that automatically crawls your website and documentation, extracts text content, and converts it into structured knowledge your AI can use. Myntics's scraper processes 20+ pages per second and completes training in under 60 seconds.
AI-to-Human Handoff
When an AI chatbot transfers a conversation to a live human agent — triggered by complexity, user request, or business rules like high purchase intent. Myntics passes the full AI conversation summary to the human for seamless context.
Chatbot Knowledge Base
The structured collection of information your AI uses to answer questions, built from your website, help docs, FAQs, and product content. The quality and coverage of your knowledge base directly determines answer accuracy.
GEO — Generative Engine Optimization
The practice of structuring your content so AI search engines (Perplexity, ChatGPT, Google AI Overviews) can accurately extract and cite it. GEO focuses on clear structure, schema markup, factual depth, and answering specific questions directly.
AEO — Answer Engine Optimization
Optimizing content to appear in zero-click answers, voice search results, and LLM-generated responses. AEO prioritizes direct, specific, well-structured answers to common questions — exactly what FAQ schema and glossary pages are designed for.
NLP — Natural Language Processing
The AI technology that enables chatbots to understand human language — not just keywords, but intent, context, and meaning. When a customer types "I haven't received my order", NLP helps the chatbot understand this is a shipping complaint rather than a product question, so it routes appropriately.
Intent Detection
The process of identifying what a user actually wants from their message. Myntics's intent detection classifies conversations as support requests, buying signals, or general questions — routing each to the right outcome without manual rules.
Ticket Deflection
The rate at which an AI chatbot resolves customer queries without creating a support ticket or involving a human agent. Higher ticket deflection means lower support costs and faster resolution times. Myntics customers typically see 40%+ ticket deflection within the first month of deployment.
RAG — Retrieval-Augmented Generation
The AI architecture that powers Myntics's training system. Instead of relying on a general-purpose AI model's pre-trained knowledge, RAG retrieves relevant content from your specific documents and website in real time before generating an answer — making responses accurate, grounded, and up to date.
LLM — Large Language Model
The underlying AI model that powers conversational AI systems like Myntics. LLMs (such as GPT-4 or Claude) are trained on large datasets of text and can generate human-like responses. Myntics uses LLMs in combination with RAG to ensure answers are both fluent and grounded in your actual business content.
Conversation Routing
The logic that determines where a conversation goes after the AI handles its initial response. Routing rules in Myntics can send conversations to specific human agents, teams, CRM workflows, or Slack channels based on topic, detected intent, user plan level, or confidence score.
Webhook Integration
A method of sending real-time data from Myntics to an external system the moment a trigger event occurs — such as a new lead captured, a conversation escalated, or a specific intent detected. Webhooks allow Myntics to connect to any tool with an API, even if a native integration doesn't exist yet.
Confidence Threshold
The minimum certainty score the AI must reach before answering a question autonomously. If Myntics's confidence falls below the threshold you set, it automatically escalates the conversation to a human agent rather than risk giving an inaccurate answer. You control this threshold per use case from the dashboard.
First Response Time (FRT)
The time between a customer sending their first message and receiving a substantive reply. AI chatbots like Myntics reduce FRT to near-zero for common questions by responding instantly, 24/7 — with human agents only engaged for edge cases that genuinely require them.
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