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AI visibility models currently lack the multi-location infrastructure present in traditional SEO (e.g., Google Business Profile, location pages, NAP consistency, local pack rankings, schema markup for multiple addresses). This leads to AI models anchoring brands to a single primary city, even for businesses distributed across multiple locations. A feature is needed to enable AI visibility tools to properly recognize and manage multi-location brand presence.
SEO has 20 years of multi-location infrastructure built around compensating for brand framing. GBP, location pages, NAP consistency, local pack rankings, schema markup for multiple addresses. a business with offices in three cities can rank in three cities even if its primary brand identifies with one AI visibility doesn't have any of that. the model's belief about a brand's location is shaped by whatever's strongest in training data — usually the primary-city framing on the about page, the press, the LinkedIn header. the team can be distributed across three states and the model still anchors the brand to one city