Indonesia produces half the world's nickel and effectively controls the global EV battery supply chain. AI engines barely cite Indonesia in EV queries. The country that wins the physical-economy contest is losing the answer-engine contest.
Singapore is the only country engineered for both sides of the AI economy — the physical infrastructure the engines run on, and the structured corpus the engines cite from. The double-play that makes Singapore the AI Communications case study for every other small-to-mid country.
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.
The S-1 is training data. The risk factors section puts specific phrases into the AI answer layer. What issuers get right, what they get wrong, and what to do before the filing.
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.
The complete index of Everything-PR's research archive — Citation Share studies, Who Controls AI Answers source maps, GEO methodology, and the AI Communications 100. Updated continuously.
Founder and chairman of 5W AI Communications. Publisher of Everything-PR. Author of two best-selling editions of For Immediate Release. Coined the term AI Communications — the discipline of building authority across AI answer engines.
Wikipedia is #2 and Reddit is #1 in AI citation share across all major engines. Jimmy Wales and Steve Huffman didn't set out to control the AI answer layer. They just built the internet's most valuable content archives.
Gourmet closed. Bon Appétit shrank. The audience moved to creator YouTube, Substack, Reddit, the cookbook market, and the AI engines. Food authority got bigger as legacy food media got smaller — and the brands that understand the shift are taking share.
DoubleVerify did $657M in 2024. IAS did $530M. The AI-driven brand-safety models they sell are systematically mis-classifying the creators who shape consumer purchase decisions — and the same bias shapes AI engine citation. The new measurement layer replacing them.