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How search, maps and AI systems understand real-world locations

Analysis and research from the team that maintains location data for multi-location networks: what the evidence shows, what we see in operation, and what it takes to keep every location accurate.

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AI & Search · Research

The real AI search problem for multi-location brands: stale data, not hallucinations

AI assistants rarely invent a business. They describe real locations with information that used to be true. What 2026 research shows about that failure, why API results are not what customers see, and what we observed in the best-structured location networks we work with.

· 14 min read Includes MapsExperts client analysis

All insights

  1. AI & Search · Research

    The real AI search problem for multi-location brands: stale data, not hallucinations

    AI assistants rarely invent businesses. They repeat outdated hours, closures and addresses. What 2026 research and our own client analysis show.

    · 14 min read

  2. Local Pages · Guide

    Why AI search needs a page for every location

    Store Locators and Local Landing Pages are location-data infrastructure: a first-party record of every location that search, maps and AI assistants can read.

    · 14 min read

Research standards

  • External figures are verified against their original sources and dated. Commercial research is identified as such.
  • We keep unlike metrics separate rather than combining results that measure different things.
  • Our own findings are based on client work, documented examples and operational experience. We distinguish measured results from practitioner observations.