### Contents - [**Discussions**](#resources-discussions) - [**Reports**](#resources-reports) # Store Locator Software Resources ##### Discussions and Reports to expand your knowledge on Store Locator Software Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find [discussions](#resources-discussions) from users like you and [reports](#resources-reports) from industry data. [ContentsExpand/Collapse Contents](#) - [**Discussions**](#resources-discussions) - [**Reports**](#resources-reports) ## Store Locator Software Discussions 0 Question on: SOCi [We have a home office headquarters and 300 franchisees. How Does SOCi work for both sides?](/discussions/we-have-a-home-office-headquarters-and-300-franchisees-how-does-soci-work-for-both-sides) How does SOCi support franchisors vs. franchisees differently? SOCi is explicitly architected for this structure, with a tiered access model that serves corporate and franchisees differently without creating two separate systems. For corporate and the home office, brand guidelines, content libraries, and messaging standards are trained into the Genius Agents and applied network-wide. This provides system-level visibility into how every location is performing across search, social, and reputation without the need to manually aggregate data. Coordinated campaigns can be deployed across the full franchise and/or enterprise network simultaneously. Because the Agents execute the work at each location, corporate doesn't need to chase compliance or manually push updates. For individual franchisees and location owners, SOCi offers a simplified, single-location view that doesn't require understanding the full enterprise platform. Review responses, local posting, and listing maintenance are handled without needing a marketing hire at each location. Staff can be onboarded and functional quickly, as G2 reviewers consistently describe the location-level experience as approachable even for those who aren't marketers. Ultimately, the operational burden of maintaining a local digital presence shifts to the Agents. The practical effect for a network of 300 franchisees: the home office gets visibility and brand governance; each franchisee gets local execution without adding headcount or marketing expertise they may not have. Both sides get the work done. Answered: Amanda Schulte on July 16, 2026 [Your answer](/discussions/we-have-a-home-office-headquarters-and-300-franchisees-how-does-soci-work-for-both-sides/comments/new?remote=true) 0 Question on: SOCi [What tools and platforms does SOCi actually connect to?](/discussions/what-tools-and-platforms-does-soci-actually-connect-to) What platforms and channels does SOCi integrate with? SOCi's Genius Agents execute work across the channels that drive local discovery and customer engagement. SOCi integrates with 140+ platforms across search, social, reviews, directories, and business systems—including Google Business Profile, Facebook, Yelp, Apple Maps, Salesforce, TikTok, and more. Review them all here: https://www.soci.ai/integrations/ Answered: Amanda Schulte on July 16, 2026 [Your answer](/discussions/what-tools-and-platforms-does-soci-actually-connect-to/comments/new?remote=true) 0 Question on: SOCi [Customers are using AI to find us, can SOCi help?](/discussions/customers-are-using-ai-to-find-us-can-soci-help) What is Generative Engine Optimization (GEO) and how does SOCi address it? 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. Answered: Amanda Schulte on July 16, 2026 [Your answer](/discussions/customers-are-using-ai-to-find-us-can-soci-help/comments/new?remote=true) - [‹ Prev‹ Prev](/categories/store-locator/resources) - [1](/categories/store-locator/resources) - 2 - [3](/categories/store-locator/resources?discussions_page=3) - [4](/categories/store-locator/resources?discussions_page=4) - [5](/categories/store-locator/resources?discussions_page=5) - [6](/categories/store-locator/resources?discussions_page=6) - … - [9](/categories/store-locator/resources?discussions_page=9) - [10](/categories/store-locator/resources?discussions_page=10) - [Next ›Next ›](/categories/store-locator/resources?discussions_page=3) ## Store Locator Software Reports Mid-Market Grid® Report for Store Locator Summer 2026 G2 Report: Grid® Report Grid® Report for Store Locator Summer 2026 G2 Report: Grid® Report Enterprise Grid® Report for Store Locator Summer 2026 G2 Report: Grid® Report Momentum Grid® Report for Store Locator Summer 2026 G2 Report: Momentum Grid® Report Small-Business Grid® Report for Store Locator Summer 2026 G2 Report: Grid® Report Enterprise Grid® Report for Store Locator Spring 2026 G2 Report: Grid® Report Small-Business Grid® Report for Store Locator Spring 2026 G2 Report: Grid® Report Mid-Market Grid® Report for Store Locator Spring 2026 G2 Report: Grid® Report Grid® Report for Store Locator Spring 2026 G2 Report: Grid® Report Momentum Grid® Report for Store Locator Spring 2026 G2 Report: Momentum Grid® Report