The first time a CEO asks a chief communications officer "do we show up in ChatGPT," the conversation that follows reveals more about the comms function than the question itself. The question is increasingly being asked. The answers vary in quality, in part because the discipline
94% of AI citations come from earned media. Engines weight LLM-training signal plus retrieval authority. Tier-1 placement is now a GEO asset, not an impressions metric.
Ten tactics that move Citation Share inside ninety days. Earned media placement, primary research, schema deployment, entity infrastructure. The shortlist for teams starting from zero.
Reputation management has shifted. Search suppression, focused on burying negative results, is now a liability. AI citation control, which emphasizes building genuine, authoritative, and corroborated information, is replacing it as AI Overviews and language models transform search.
Luxury expert Seth Semilof argues AI is now the first salesman in the room. The AI Concierge Report shows a handful of branded-residence names dominate AI answers while prestigious rivals go unmentioned.
Four Seasons edged Aman by one point in the Luxury Hospitality Authority Index 2026. Six signals — owned content depth, earned media, awards, AI retrieval — ranked.
The GEO Glossary defines 22 terms for the answer-engine era, from Citation Share to the Grounding Stack, refined through EPR's original GEO reporting.
AI Visibility is the degree to which a brand is present, accurate, and on-strategy inside the answers generated by AI engines. It is the goal of GEO. It is what Citation Share approximately measures. The mechanism differs from search-era brand visibility.
Citation Share is the percentage of AI-generated answers in a category that cite, name, quote, or reference a given brand. It is to the answer-engine era what market share is to revenue. This article explains what Citation Share measures, what it doesn't, and why it's a crucial metric for brands to understand and manage their AI visibility.
This article explores how AI answer engines like ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews build responses, detailing the two main modes (trained knowledge and live retrieval), the six steps from question to answer, and the five factors that make a source rank highly. It also explains what determines which entities are named in an AI answer and offers five key takeaways for communications professionals on how to influence AI outputs.
