The vocabulary of AI Communications, defined. Fifteen terms — GEO, AEO, LLMO, Citation Share, Retrieval Anchor, Knowledge Graph, Entity SEO, and the rest of the working vocabulary every communications team now needs. Cluster 1 of The Communications Dictionary.
Wikipedia is the source AI engines trust most. Thin entry, hostile entry, or stale entry — your AI answer breaks. The chokepoint, and what to do about it.
The article discusses how AI engines like ChatGPT interact with problem gamblers and the lack of a robust harm reduction framework. It highlights the conversational, private, and unbounded nature of AI interactions, posing both potential for harm and harm reduction. The author proposes a multi-layered framework including risk pattern recognition, calibrated friction, resource integration, platform accountability, and industry collaboration.
In the AI era, gambling compliance becomes a citation infrastructure asset. Operators with rigorous, visible, and well-documented compliance are accumulating gambling entity authority that translates directly into citation share, turning compliance into sportsbook AI authority infrastructure.
ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews give five different answers to the same gambling query. The inconsistency is the story — for operators, regulators, and users.
ChatGPT is the most widely used AI product ever built — and the default starting point for product research, reputation queries, and category comparisons. The full entity profile.
AI Communications is changing how consumer brands reach shoppers. AI engines like ChatGPT and Claude are now central to product discovery and comparison, moving beyond traditional marketing channels. Brands must adapt their strategies to ensure they are cited by AI for purchase consideration.
Consumer brands need an AI communications strategy to build citation share or risk losing it, defend against adversarial content, and prevent organizational atrophy. The article outlines the three things that happen when a consumer brand operates without an AI communications strategy and details what a comprehensive strategy looks like, including audits, citation infrastructure builds, measurement systems, and crisis postures.
The communications tech stack that operated through the search era is not the stack that operates through the AI era. This article outlines the twelve operational capabilities required to compete for AI citation share in 2026, covering foundational elements like schema and structured feeds, to advanced strategies in earned media, Wikipedia engagement, and AI citation measurement. Discover how brands can assess their stack maturity and implement these crucial changes over a 15-month sequence.
Three tiers define a working AI visibility program inside consumer brands. Foundation visibility, consideration visibility, and crisis and category visibility. Each requires different operational muscle.