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LocalBusiness Schema Completeness & Validity SEO Checker

Check if your LocalBusiness schema includes name, address, phone, and URL correctly, see a percentage SEO score, and get tips to improve local structured data.

SEO Score
0%
Optimized

Legend: chars = characters (text length), pts = points (how much each check contributes to the overall SEO score).

API: append ?api=1 to get JSON

What the metrics mean

  • LocalBusiness Schema SEO Score: Overall quality of your LocalBusiness structured data (0–100%). Higher is better.
  • Characters (chars): Number of characters in a text field, such as your business name or address.
  • Points (pts): How much each individual check contributes to the SEO Score.
  • Signals table: Shows each LocalBusiness schema signal, its status, and how many points it awarded.
Best practices: well-structured and complete LocalBusiness schema helps search engines understand your business and support richer local search visibility.

LocalBusiness Schema Completeness & Validity SEO Checker

LocalBusiness schema is one of the strongest technical signals you can send about a real-world business. When the markup is complete, valid, and aligned with on-page content, search engines can confidently understand who you are, where you are, when you are open, and what you offer. That clarity supports richer local visibility and more qualified visits from nearby customers.

What LocalBusiness schema is and why it matters for SEO

LocalBusiness schema is a structured data definition used to describe a physical business location. It extends both Organization and Place, allowing you to express real-world identity (name, brand, logo) and presence (address, geo coordinates, opening hours, phone number) in a standardized way.

Search engines use this structured data to interpret your business details more precisely, align your site with maps and local listings, and qualify your pages for enhanced local-style rich results. Even though markup alone is not a magic ranking button, complete and correct LocalBusiness schema helps search engines connect all the signals that already exist about your business, supporting stronger local relevance and better click-through rates.

Completeness vs validity: two sides of LocalBusiness quality

A high-performing LocalBusiness implementation has two core qualities: completeness and validity.

  • - Completeness means you provide all required properties and as many relevant recommended properties as possible. Name, address, phone, URL, logo, geo, opening hours, and business categories should all be clearly defined.
  • - Validity means your markup is syntactically correct, uses the right types and formats, adheres to structured data guidelines, and precisely matches the real information shown on the page.

A LocalBusiness Schema Completeness & Validity SEO Checker evaluates both dimensions. It verifies that all key fields are present and correct, and that the data is usable for rich results instead of triggering warnings, errors, or spam signals.

Core entity definition: the LocalBusiness shell

Every LocalBusiness node should start with a clear, machine-readable identity. In most modern implementations this is written in JSON-LD and embedded in the head or body of the page.

The checker can inspect the following fundamentals:

  • - @context – Typically set to the structured data vocabulary URL so that parsers know which vocabulary you are using.
  • - @type – The main type, usually "LocalBusiness" or a more specific subtype such as "Restaurant", "MedicalClinic", or "Store". Choosing the closest subtype improves clarity.
  • - name – The official business name as shown on signage, your website, and local listings.
  • - description – A concise summary of what the business does, matching the copy users see.
  • - image or logo – A high-quality image that represents the business, usually your logo or a flagship photo.
  • - url – The canonical URL for the page that describes this specific location.

For your SEO checker, missing or generic values here should reduce the score, because they weaken the entity’s identity in local search.

Identity, address (NAP), and geo signals

At the heart of LocalBusiness schema is strong NAP consistency: Name, Address, and Phone. The checker should focus heavily on NAP completeness and accuracy.

Address (PostalAddress)

The address property is usually a nested PostalAddress object. A complete, valid implementation includes:

  • - streetAddress – Street name and number.
  • - addressLocality – City or locality.
  • - addressRegion – State, region, or province where applicable.
  • - postalCode – Postal or ZIP code.
  • - addressCountry – Country code or full country name.

Completeness means each applicable field is filled, in the correct format and language, and it matches what appears on the page and in your other local profiles.

Telephone and contact

The telephone property expresses the main customer-facing phone number. Best practice is to:

  • - Use an international format including country code.
  • - Match the number with the one shown on the page and local listings.
  • - Avoid using tracking numbers in schema that do not appear visibly.

Geo coordinates

The geo property, typically a GeoCoordinates object, defines exact latitude and longitude. Correct coordinates help search engines align your site with map pins and local packs. The checker can verify:

  • - Presence of latitude and longitude.
  • - Reasonable values (not zero coordinates, not obviously wrong).
  • - Consistency with the city and country defined in the address.

Opening hours and operational details

Local searchers care about when a business is open. LocalBusiness schema supports detailed opening hours through openingHoursSpecification.

The checker can evaluate:

  • - Presence of at least one OpeningHoursSpecification object for physical locations.
  • - Correct days of the week (dayOfWeek) encoded as the expected values.
  • - Valid time formats for opens and closes.
  • - Alignment between the markup and any hours displayed on the page or the site’s footer.

Additional properties, such as special opening hours or seasonal schedules, can be included where relevant. Your checker can award extra points for businesses that maintain rich and accurate hours data.

Enhancement properties that improve local visibility

Beyond core identity and NAP, LocalBusiness schema can carry additional signals that enrich your presence in search results and make your business listing more compelling.

High-value enhancement properties include:

  • - sameAs – A list of official profiles on major platforms (for example local profiles, social pages, or directory pages). These links help confirm that multiple profiles represent the same entity.
  • - priceRange – A simple indicator of price level (for example symbols or a short range description).
  • - servesCuisine – For restaurants or food businesses, specifying cuisine type.
  • - areaServed – Especially useful for service-area businesses that visit customers at their location; it expresses the regions, cities, or postal codes covered.
  • - aggregateRating and review – When you legitimately collect and display reviews, these properties can describe rating value and review count. They must match visible on-page reviews and follow structured data guidelines.
  • - paymentAccepted and currenciesAccepted – Helpful for travel, hospitality, and tourism contexts.
  • - department – For larger businesses with distinct departments or in-store services.

A good checker does not penalize a business for lacking enhancement fields that do not apply, but it does reward rich, relevant use wherever appropriate.

Validity: syntax, structure, and data integrity

Validity is about how cleanly your LocalBusiness schema can be parsed and trusted. Even a complete set of properties will underperform if the markup is broken or inconsistent.

Your LocalBusiness Schema Completeness & Validity SEO Checker should confirm that:

  • - Syntax is correct – JSON is valid, braces and brackets are closed, quotes are paired, and commas are placed correctly.
  • - Types are used properly – Nested objects match expected types (for example PostalAddress under address, GeoCoordinates under geo, OpeningHoursSpecification under openingHoursSpecification).
  • - Property names are correct – No typos in property names and only supported properties for LocalBusiness and its parents are used.
  • - Duplicates are handled sensibly – Multiple LocalBusiness nodes for the same location on a single page are flagged, unless clearly intentional (for example departments).
  • - Mark-up matches visible content – The name, address, phone, URL, and key details in the schema correspond to the information users can see on the page.
  • - No spammy markup – The business is not misrepresented, and properties like aggregateRating and review are only present where real reviews are displayed.

Your checker can also encourage using modern formats (such as JSON-LD) while still accepting valid implementations in other supported syntaxes.

Where and how to apply LocalBusiness schema

LocalBusiness schema should appear on pages that naturally describe the business or location being marked up. Overuse across every URL can create noise without adding value.

The checker can evaluate placement strategy and provide guidance such as:

  • - Use LocalBusiness schema on the homepage, dedicated location pages, and contact pages for specific branches.
  • - Avoid injecting identical LocalBusiness schema across unrelated article or blog pages that do not primarily describe the business.
  • - For multi-location brands, use distinct LocalBusiness entities (with unique addresses and URLs) for each branch, usually on separate location pages.
  • - Combine LocalBusiness markup with other appropriate schema types (for example Product, Service, Article) as long as each reflects the visible content of the specific page.

How a LocalBusiness Schema Completeness & Validity SEO Checker scores pages

To make results actionable, your checker can summarize findings as a percentage-based score. In this context, chars means the number of characters used in a specific field (for example description length), and pts means the points awarded toward the total score. A sample scoring model out of 100 pts could look like this:

1) Entity definition (10 pts)

  • - @context present and correct format.
  • - @type set to LocalBusiness or an appropriate subtype.
  • - name, url, description, and image/logo present and non-empty.

2) NAP & identity (20 pts)

  • - address present as PostalAddress with streetAddress, addressLocality, addressRegion, postalCode, and addressCountry.
  • - telephone present in international format.
  • - Schema NAP matches visible page NAP within acceptable tolerance.

3) Location & geo (15 pts)

  • - geo object present with latitude and longitude.
  • - Coordinates consistent with the city and country in the address.
  • - No obviously default or placeholder geo values.

4) Opening hours & operations (10 pts)

  • - openingHoursSpecification present for physical locations.
  • - Valid dayOfWeek values and opens/closes times.
  • - Hours consistent with visible on-page information.

5) Contact & web presence (10 pts)

  • - url points to the current page or dedicated location page.
  • - sameAs contains at least one verified official profile, where applicable.
  • - Additional contact fields (email, contactPoint) included when relevant.

6) Reviews & reputation (10 pts)

  • - aggregateRating and review used only if real reviews are shown.
  • - Rating values consistent with visible averages and counts.
  • - No misleading or fabricated reputation data.

7) Technical validity (15 pts)

  • - JSON parses without errors.
  • - All LocalBusiness-related properties are spelled correctly.
  • - Expected types used for nested objects and arrays.
  • - No conflicting multiple LocalBusiness nodes for one location.

8) Content consistency & anti-spam (5 pts)

  • - Schema accurately reflects page content and visible business details.
  • - No attempt to mark up hidden or irrelevant content simply to manipulate search.

9) Placement & scope (5 pts)

  • - LocalBusiness schema used only on relevant pages (home, contact, location).
  • - For multi-location sites, each LocalBusiness node maps to a distinct page and address.

The checker can then present an overall percentage, per-section scores, and detailed improvement tips. For example, it might highlight that the description exceeds optimal length in chars or that a missing geo object has cost a specific number of pts.

Common LocalBusiness schema issues and how to fix them

  • - Missing address fields: Only the city is provided, or postalCode/addressCountry are missing. Fix: Complete the full PostalAddress object with all applicable fields.
  • - Inconsistent NAP: The schema phone number or address differs from what is visible on the page. Fix: Standardize on one canonical NAP and update both the content and the markup to match.
  • - No geo coordinates: The location cannot be precisely mapped. Fix: Add a GeoCoordinates object with accurate latitude and longitude.
  • - Invalid opening hours: Times in the wrong format, or days missing. Fix: Use the specified time format and ensure all active days are represented.
  • - Broken JSON-LD: Extra commas, missing quotes, or incorrect nesting. Fix: Validate the JSON and correct syntax errors before deploying.
  • - Misused reviews: Rating markup added where no reviews are visible. Fix: Either display real reviews on the page or remove the reputation-related schema.
  • - Over-applied LocalBusiness: The same schema block is injected into every page, including blog posts. Fix: Limit LocalBusiness schema to relevant business/location pages and use other schema types for content pieces.

Final takeaway

LocalBusiness schema is a compact, powerful way to help search engines connect your real-world business with your website, maps listings, and local results. When your markup is complete, consistent, and valid, you remove ambiguity about who you are, where you are, and how customers can reach you. A LocalBusiness Schema Completeness & Validity SEO Checker turns that best-practice checklist into a concrete score, highlighting exactly which pieces of your local structured data to fix next. Implement it, keep your data aligned with reality, and review your score regularly. The payoff is clearer local signals, stronger eligibility for rich results, and a more trustworthy presence for nearby searchers.