For multi-location brands and franchise marketing teams, Uberall is a location marketing platform that syncs store listings, reviews, and local pages across search, maps, and social so every location stays accurate and discoverable.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Uberall is positioning itself as the location-performance layer for multi-location brands navigating both traditional local discovery and AI-mediated search. Its wider GTM footprint remains quiet, and the available practitioner conversation centers on how multi-location companies can earn citations in AI search. In product terms, Uberall continues to manage listings, reviews, and local pages across search, maps, and social channels, while its own messaging has expanded toward geographic content quality and structured local information for answer engines. That gives the brand a clear strategic bridge from location-data management into AI-search visibility without overstating how broadly that shift is being discussed.
KFC, Adidas, Burger King, Shell, BP, Puma, Crate & Barrel, RE/MAX, M&S, Pret a Manger
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Business Profile
Founded in 2013, Uberall is an independent, 467-person software company that has raised $170.8 million. The business built its base in listings, reviews, local pages, and location data management, then broadened into Location Performance Optimization and AI-search visibility. That progression gives Uberall a coherent expansion path: the same structured location data that supports local discovery can also support automated monitoring and citation readiness as consumer search behavior shifts toward answer engines.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Uberall’s agent readiness begins with its public API, which gives developers access to location data and related platform workflows. Its current AI direction centers on keeping structured local information usable across search and answer engines. No dedicated MCP server, SDK, or CLI is currently documented, so the confirmed external surface remains the API.
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