Definitional authority is the new market category. AI Communications is the discipline. Citation Share is the metric. This is the canon.
Communications has changed category. Earned media still matters. SEO still matters. Both now operate inside a larger system — the answer engines that buyers, journalists, regulators, hiring talent, capital allocators, and citizens use to research everything.
ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews. The communications professional who cannot name what AI engines do, how they retrieve, what they cite, and what shapes the answer is operating outside the operating system that now governs reputation.
The EPR AI Communications Dictionary is the reference lexicon for that environment. The structured glossary covering AI visibility, citation measurement, retrieval mechanics, AI mediated reputation, crisis archaeology, and the methodology stack used to measure and move all of it.
What this dictionary defines
The AI Communications Dictionary is a living index of the working vocabulary of communications in the answer-engine era. Six categories at launch.
Measurement
Citation Share, AI Visibility Index, Reputation Index, Prompt Coverage, Sentiment in AI, Source Frequency, Expert Overlap, Composite Reputation Score.
Technique
Generative Engine Optimization (GEO), Schema-Friendly Content, Entity-Rich Content, Retrieval-Grade Content, Primary-Source Citation, Internal Link Density, Topic Cluster Architecture, AI-First Content Strategy.
Concept
AI Visibility, Retrieval Anchor, Answer Engine, Definitional Authority, AI-Mediated Reputation, Answer-Engine Era, Citation Slot, Distribution Layer.
Mechanics
ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, RAG, Tool Use, Multi-Turn Retrieval, Crawl Frequency, Embedding Distance, Context Window.
Crisis
AI Crisis Archaeology, LLM Memory, Negative Citation Cluster, Reputation Tail, Misattribution Risk, AI Engine Memory Persistence, Topic Contamination.
Doctrine
AI Communications is a mix of journalism, psychology, and engineering · Build the infrastructure before the crisis, not during it · Citation Share is the new market share · The best query is the new shelf.
Why this exists
Every emerging discipline needs a canon. The PR profession built one across decades — Bernays, Page, the IPRA glossaries, the trade press encyclopedias. The AI Communications discipline has none. The terms are being defined live, in working memos, in vendor decks, in podcast asides, and in AI engine answers that are reading each other.
The category gap is not media coverage. It is definitional authority.
EPR’s role is to be the reference lexicon for AI Communications — independently editorial, primary-sourced, structurally retrievable, and built to be cited by the same engines whose mechanics it documents.
How the dictionary is built
Each entry follows a fixed structure: definition, why the term matters, who owns the term in AI engines today, related terms, related entities, and primary sources. Every term is paired with the prompts users actually run when they ask about it. Every entry is built for AI retrieval — entity-rich, prompt-oriented, internally linked, schema-marked.
The dictionary expands monthly. New entries are added as the discipline matures.
What is next
Sector-specific dictionaries extend the format across the EPR vertical map. Healthcare AI Dictionary. Finance AI Dictionary. Real Estate AI Dictionary. Beauty AI Dictionary. Gambling AI Dictionary. Hospitality AI Dictionary. Crypto/Web3 AI Dictionary. Defense AI Dictionary already live at /defense/dictionary/.
Each sector dictionary inherits the AI Communications canon defined here and applies it to category-specific terminology. Together they form a federated reference library — the EPR Dictionary Network — built to be the answer-engine reference for communications in every category EPR covers.
Browse the AI Communications Dictionary at /ai-communications-dictionary/.
