# Customers are using AI to find us, can SOCi help?

What is Generative Engine Optimization (GEO) and how does SOCi address it?

##### Post Metadata - Posted at: 27 days ago - Net upvotes: 1 ## Comments ### Comment 1 Yes, and the data on how hard this problem actually is for multi-location brands is worth understanding before assuming your current approach covers it. Generative Engine Optimization (GEO) is the practice of getting your locations recommended when customers ask AI engines like ChatGPT, Gemini, or Perplexity for a local business. Unlike traditional search, which returns a ranked list, AI engines synthesize an answer and name only a few options. The question for multi-location brands isn't just whether you rank — it's whether you're among the few that get recommended at all. SOCi's 2026 Local Visibility Index analyzed 350,000+ locations across 2,751+ multi-location brands and found that only 1.2% of locations are recommended by ChatGPT, only 11% by Gemini, and 7.4% by Perplexity. AI platforms are 3 to 30 times more selective than traditional local search. Locations recommended by ChatGPT average 4.3 stars, meaning reviews function as an active filter on AI recommendations, not just social proof. Business contact information on ChatGPT is only 68.3% accurate and inaccurate data quietly filters locations out before they're ever considered. And fewer than half of brands that lead in traditional local search also lead in AI recommendations. Ranking well on Google does not guarantee appearing in AI-generated answers. For multi-location brands specifically, AI visibility is a location-level problem. Every individual location needs accurate listing data, strong reviews, complete profiles, and fresh local content across the sources AI engines pull from. That's not something you fix once at the brand level, it's ongoing work that has to happen at every location, continuously. Most brands have no clear view into which locations are being recommended and which are being skipped. SOCi's Genius Agents address this across all three of the signals AI engines weigh. The Local Search Agent keeps each location's listings accurate and complete on Google Maps and the directories AI engines index, and publishes fresh local content to maintain active discovery signals. The Reputation Agent strengthens review volume, recency, and ratings at every location, which are the exact signals that determine whether AI engines consider a location worth recommending. The Social Agent keeps local content active and engaging across channels, contributing to the consistent presence AI engines treat as a credibility indicator. SOCi's Unified Visibility Engine coordinates all three as one system rather than managing each channel in isolation. Most brands aren't losing AI search visibility because their strategy is wrong. They're losing it because individual location data is stale, inconsistent, or thin, and there's no workforce keeping it current at every location, at scale. ##### Comment Metadata - Posted at: 4 days ago ## Related Product [SOCi](https://www.g2.com/products/soci/reviews) ## Related Category [AI Agents For Business Operations](https://www.g2.com/categories/ai-agents-for-business-operations) ## Related discussions - [How well does Trello scale into a larger team?](https://www.g2.com/discussions/1-how-well-does-trello-scale-into-a-larger-team) - Posted at: about 13 years ago - Comments: 6 - [Can we please add a new section](https://www.g2.com/discussions/2-can-we-please-add-a-new-section) - Posted at: about 13 years ago - Comments: 0 - [Quantifiable benefits from implementing your CRM](https://www.g2.com/discussions/quantifiable-benefits-from-implementing-your-crm) - Posted at: about 13 years ago - Comments: 4