Local business structured data helps search engines display accurate local knowledge panels, map results, and rich snippets that influence discovery and foot traffic. This checklist is designed for businesses managing LocalBusiness, Organization, or Place markup across single or multi-location deployments.
Ensure accurate location details (name, address, phone), opening hours, geo coordinates, and links to review information. The goal is to present consistent and authoritative location data that matches public directory listings, Google Business Profile entries, and internal location databases.
LocalBusiness or a more specific subtype (e.g., Restaurant, MedicalBusiness).
name, address (PostalAddress with streetAddress, addressLocality, postalCode, addressRegion, addressCountry).
telephone and contactPoint for customer service or reservations.
openingHoursSpecification with dayOfWeek, opens, closes; include validFrom or validThrough for holiday exceptions if supported.
geo with latitude and longitude using GeoCoordinates.
sameAs links to official profiles (note: include as text in markup but verify values externally).
Canonicalize a single source of truth for each location with unique location IDs and ensure structured data is generated from that record.
Confirm address fields match postal standards and public directory formats to avoid inconsistencies in knowledge panels or directory matches.
Validate opening hours carefully; use 24-hour format and confirm holiday exceptions are handled either in markup or via separate schedules.
Check geo coordinates using mapping tools to avoid reversed lat/lon or truncated precision that places locations off-grid.
Test schema payloads for each location type and sample multi-location pages to verify content scales without duplication errors.
Once live, perform the following checks:
Compare structured data addresses and phone numbers to Google Business Profile and third-party directories to ensure consistency.
Monitor for crawler errors and schema parsing failures that indicate malformed addresses or missing required properties.
Sample change logs whenever a location record is updated; confirm that markup updates propagate to the live page and any downstream feeds.
Establish alerts for sudden changes in opening hours or phone numbers that may signal data corruption or unauthorized edits.
For companies with many locations, use templated outputs and automated validation. Avoid embedding details for every location on a single index page unless each location is clearly separated with its own LocalBusiness item and unique identifiers. Use pagination or dedicated location pages for each site to maintain clarity for parsers and users.
Frequent problems include inconsistent abbreviations (St. vs Street), mismatched phone formats, missing geo coordinates, and incorrect opening hours formatting. Address these by normalizing address formats in your CRM, enforcing data validation rules, and exposing only production-ready location records to the public site.
Source location data from a single authoritative system.
Validate address, phone, opening hours, and geo fields against external references.
Monitor production pages for parsing errors and inconsistencies with public listings.
Automate updates for multi-location deployments and test at scale.
Applying these checks helps local businesses present reliable information to users and search engines, protecting reputation and improving discovery in local search environments.