A high Google Maps ranking does not necessarily translate into a recommendation from ChatGPT, Google Gemini, or Perplexity. That is the central finding from SOCi's 2026 Local Visibility Index, which indicates that AI-driven local discovery is becoming a distinct visibility channel rather than an extension of the traditional Google local 3-pack.
SOCi analyzed more than 350,000 locations across 2,751 multi-location brands. Its results show a substantial gap between the share of locations surfaced in Google's local 3-pack and the share recommended by major AI platforms. In its official 2026 SOCi100 announcement, the company positions local and AI search as connected but separate areas of enterprise visibility.
For local businesses and marketers, the practical implication is clear: Maps optimization remains necessary, but it is no longer sufficient for reaching customers who ask AI systems where to eat, shop, book an appointment, or find a nearby service.
Why AI local visibility differs from Maps rankings
SOCi's index found that Google's local 3-pack surfaced 35.9% of the locations studied. By comparison, ChatGPT recommended 1.2%, Gemini recommended 11%, and Perplexity recommended 7.4%. Search Engine Land's coverage of the findings characterized AI local visibility as three to 30 times harder to achieve than traditional local search, depending on the platform.
