Original research on AI visibility
We run the same measurement Beacon sells — real buyer questions, sampled across AI engines, checking who actually gets named — and publish what we find, including when the numbers aren’t flattering.
When clients ask AI for a Swiss private bank, who gets named?
48 buyer questions, 3 engines, 23 public banks. Gemini names a bank in 42 of 48 answers; Perplexity in 32. One question cluster goes to almost no bank at all.
When clients ask AI for an independent wealth manager, who gets named?
100 buyer questions, 18 boutique & independent firms. 79 of the 100 questions got no named firm on any engine — the category is almost entirely unclaimed in AI answers.
When U.S. clients ask AI for a wealth manager, who gets named?
99 buyer questions, 20 wirehouses, private banks and independent RIAs. The U.S. companion to our Swiss studies — same method, same rigor, a much bigger market.
When families ask AI for a family office, who gets named?
100 buyer questions, 20 multi-family offices and bank-run practices. Global, not one market — the US, UK/Europe and Switzerland, since family offices and their clients are inherently cross-border.
When Zurich & New York patients ask AI for a dentist, who gets named?
Two location-dedicated studies — same 100 patient questions, the city swapped, so Zurich and New York are directly comparable. Solo practices, group clinics and implant / ortho specialists, all in one study per city.
When buyers ask AI which insurer to use, who gets named?
Two region-dedicated studies — same six clusters and the same buyer intent question by question, phrased for each market, so Europe and the U.S. are directly comparable. Direct carriers, comparison platforms and digital-first insurtechs, all in one study per region.