Epic Web Studios

Multi-location businesses need to track AI visibility across all locations to understand where AI recommends their locations and how it describes them.

MULOs face AI visibility gaps in local and brand-level search

For most multi-location brands, and the agencies that manage their local SEO, Apple Maps has historically lived somewhere near the bottom of the priority list.

Agentic commerce, or the process of AI agents helping users research, compare, and, increasingly, complete local purchases, has moved from concept to reality.

Multi-location brands face significant operational risks when generative AI provides inaccurate or outdated information to customers during the search and research process.

Managing a single Google Business Profile well takes consistent effort.

Multi-location businesses have always known that local search performance can’t be managed from a national-level dashboard.

Google’s new generative AI search guidelines present execution challenges for multi-location brands needing to manage retrieval-augmented generation across hundreds or thousands of individual units.

MULOs need localized unstructured citation strategies to improve AI search visibility

For multi-location brands and the agencies that serve them, maintaining consistent AI and local search visibility at scale is a resource problem, but AI agents are beginning to solve it.

Picture two locations of the same quick-service restaurant brand, both in the same metro area, both with solid review scores, both with optimized Google Business Profiles.