AI Marketing Glossary
AI Marketing Terms
Search-Everywhere Optimization
An evolution of SEO that optimizes for all discovery surfaces—AI, voice, maps, social, and traditional search.
Schema Automation
Automatically generating and updating structured data (JSON-LD) so websites stay machine-readable without manual coding.
Retrieval-Augmented Generation (RAG)
A method where AI retrieves real facts from a database before answering, improving accuracy and context.
Prompt-Templating / Prompt-Chaining
Techniques for structuring and linking AI prompts so results stay consistent and multi-step workflows run smoothly.
Model Drift & Evaluation Pipelines
Monitoring and testing AI models to detect when performance or accuracy declines over time due to changing data.
Knowledge Distillation
Teaching a smaller AI model to mimic the behavior and insights of a larger, more capable one.
Instruction-Tuning
Teaching an AI model to better follow human-style directions, improving its understanding of prompts and responses.
Fine-Tuning (LoRA / QLoRA)
A lighter, faster method to adapt AI models to specific data or tone using Low-Rank Adaptation techniques.
Embedding Vector Databases (FAISS, Chroma)
Databases that store meanings as numerical “vectors,” letting AI search by concept instead of exact words.
Digital Karma Metrics
A Real SEO™ scoring framework measuring a site’s Presence, Authority, Activity, and Health across human and AI ecosystems.
Dataset Engineering
The process of collecting, cleaning, labeling, and organizing information so AI models can learn from it effectively.
Dataset Distillation
Compressing a large dataset into a smaller, smarter version that still teaches an AI effectively.
Data Versioning (DVC / lakeFS)
Tracking and managing changes to datasets over time so every experiment or model can be reproduced with exact data versions.
AI-to-AI Communication
Direct data exchange between machines using structured formats so AIs can verify, summarize, or quote each other’s information.
AI Audit Dashboards
Interactive panels that measure how AI-ready a website or dataset is by checking schema, endpoints, and Digital Karma health.