LocalBusiness structured data gives search engines explicit clues about a business location and its visible content. It does not replace a useful page, Google Business Profile, or consistent business information, and valid markup does not guarantee an enhanced search result. The safe workflow chooses the most specific supported type, includes required and useful properties the page actually supports, validates the rendered output, and monitors changes after deployment.
VISUAL LESSON
What you will learn
- 01Choose an appropriate LocalBusiness type and page.
- 02Map visible business facts to JSON-LD properties.
- 03Validate, deploy, inspect, and monitor the markup.

ILLUSTRATIVE LOCATION CHECKLIST
Accuracy matters more than filling every optional field
GOOGLE VALIDATION MAP
Test what users and Google receive
Check business name, address, phone, hours, URL, images, departments, and other facts against the page and authoritative business records.
Fix critical errors, review warnings, inspect the detected type and properties, and ensure the page is crawlable and not blocked or noindexed.
Use URL Inspection after deployment, request recrawl when appropriate, watch enhancement reports where available, and revalidate after template changes.
THE STRUCTURED-DATA RELEASE
Visible facts → JSON-LD → test → deploy → monitor
THE LEAD ATLAS METHOD
Lead Atlas Data can build a custom contact list for organic campaigns focused on particular business categories and locations, while structured data helps each customer's own local pages communicate their visible facts more clearly.See how custom list research works ↗Choose the real entity and page
Mark up a page that genuinely represents the business location and shows the important facts to users. For multiple locations, use a distinct page and LocalBusiness entity for each real location where appropriate.
Choose the most specific supported subtype that accurately describes the business. Do not use a category because it has attractive search features when the company does not fit it.
Map visible facts to properties
Begin with required properties, then add accurate recommended information such as phone, URL, hours, images, price range, or departments when the documentation supports them and the page or business evidence confirms them.
Do not create self-serving ratings, hidden facts, fake reviews, or conflicting names. Fewer complete and accurate properties are better than a large object filled with guesses.
Generate maintainable JSON-LD
Use a stable template and one source of truth for business facts. Escape values correctly, use valid URLs and ISO-formatted values where required, and connect related entities with stable identifiers when the implementation genuinely supports them.
Ensure the markup appears in the rendered page seen by Google. Client-side generation can work, but it should be tested as delivered rather than assumed from source code.
Validate before and after deployment
Run the Rich Results Test on code during development and on the deployed URL. Fix critical errors, evaluate warnings, and verify that the detected entity matches the intended location and visible page.
Deploy a small set first, inspect with URL Inspection, confirm crawlability and canonicalization, then monitor enhancement reporting and template releases. A valid test does not guarantee display.
Complete the one-location release sheet
Select one location page and list each proposed property, visible evidence, source of truth, owner, update frequency, required status, test result, deployment date, and monitoring path.
Deliverable: reviewed JSON-LD, visible-fact audit, Rich Results Test record, rendered-URL inspection, rollback owner, and a quarterly accuracy check for hours, phone, address, images, and business status.
THE TAKEAWAY
Mark up one real location with accurate visible facts, validate both code and rendered URL, deploy a small sample, and monitor Search Console without inventing reviews or guarantees.OFFICIAL REFERENCES