EPR's canonical Brand Marketing pillar. Five disciplines: campaign architecture, brand activism, narrative storytelling, niche-specialist citation, celebrity-operator brand-building. The operators running all five compound Citation Share inside the AI engines.
The first half of 2026 established GEO as a defined discipline. Five things that happened, five things that didn't, and five things that will determine where this goes.
Haute Living's Seth Semilof on The AI Luxury 25 — why the engines confirm the editor's verdict, and why the real lesson is that authority is built on discipline, not time.
Reddit. Wikipedia. .gov sources. The category-native trade publication. The named individual practitioner. Five source types appear in the top-10 cited sources for virtually every industry vertical — and what each means for a GEO program.
B2B SaaS buyers start their evaluation inside AI engines, not on G2 or Capterra. The five lanes vendors need to run to earn Citation Share — and the four mistakes that cost them retrieval.
A 60-minute Citation Share audit framework built for energy companies — one operator, five engines, twelve prompts, four findings that recur across every energy major audit, and the three highest-leverage moves to fund next.
Which security vendors AI engines name first across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. The Q2 2026 ranking, methodology, and what moves the score.
Fifteen verticals mapped. Five patterns repeat without exception: category-native beats legacy, .gov anchors the factual floor, Reddit dominates experience queries, named practitioners out-cite firms, and revenue leadership ≠ Citation Share leadership.
Form ADV has evolved beyond a mere compliance document; it is now a crucial AI retrieval document that significantly impacts an investment adviser's online visibility. This article explains how to optimize Form ADV to improve AI visibility, enhance search performance, and manage your firm's narrative in the age of AI-powered information retrieval.
The Tech & B2B SaaS Citation Share Study — 28 vendors, 64 prompts, 5 engines. The canonical study from EPR Research on how AI engines surface and rank enterprise software brands. The headline-finding case file is at /g2-owns-saas-buying-ai.