RAG (Retrieval-Augmented Generation)
An AI architecture that retrieves relevant information from a knowledge base (documents, databases, websites) before generating a response. Unlike generic AI that relies only on its training data, RAG grounds its outputs in your actual business content — blog articles, product docs, emails, CRM data. This prevents hallucinations and ensures AI-generated content is factually accurate and contextually relevant to your business.
Large Language Model (LLM)
The underlying AI model that powers text generation (GPT, Claude, Gemini, etc.). LLMs are trained on vast amounts of public data. MartechAI layers RAG on top of LLMs so the AI references your private business data, not just public training data.
Brand Voice AI
AI trained on a company's specific writing style, tone, terminology, and guidelines. Generates content that sounds like the brand, not like generic AI.
Autopilot AI
An AI system that continuously monitors your data and proactively surfaces recommendations — SEO opportunities, campaign performance alerts, content gaps — without being asked.