HomeSEOLocal Business Structured Data Optimization Guide

Local Business Structured Data Optimization Guide

Let’s face it – getting your local business noticed online feels like shouting into the void sometimes. You’ve got a fantastic service, loyal customers, and yet Google seems to have other ideas about who deserves that coveted top spot. Here’s where structured data becomes your secret weapon.

You know what’s frustrating? Watching competitors with inferior services outrank you simply because they’ve mastered the technical side of SEO. But here’s the thing – structured data isn’t rocket science. It’s more like giving Google a detailed map to understand exactly what your business offers, when you’re open, and why customers should care.

This guide will transform how search engines see your business. We’re talking about the difference between being just another listing and becoming the go-to choice when someone searches for services in your area. Ready to level the playing field?

Understanding Structured Data Fundamentals

Think of structured data as your business’s resume for search engines. While humans can easily understand that “Open 9-5, Monday to Friday” means your operating hours, search engines need this information served in a specific format they can digest.

The beauty of structured data lies in its simplicity once you grasp the core concepts. It’s essentially a standardised way of labelling information on your website so search engines can create those fancy rich snippets you see in search results – you know, the ones with star ratings, opening hours, and price ranges that immediately catch your eye.

Did you know? According to Their guidelines for local business markup, businesses with properly implemented LocalBusiness schema are 2.7x more likely to appear in rich results.

What Is Structured Data

Structured data is code you add to your website that helps search engines understand your content better. Instead of hoping Google figures out your business hours from a paragraph of text, you explicitly tell it: “These are my hours, this is my address, and here’s my phone number.”

Let me paint you a picture. Imagine walking into a library where all the books are just piled randomly on tables. That’s your website without structured data. Now imagine that same library with a detailed cataloguing system, where every book has a specific code telling you its genre, author, publication date, and exact shelf location. That’s what structured data does for search engines.

The magic happens behind the scenes. While visitors see your beautifully designed website, search engines see additional layers of information that help them understand context, relationships, and meaning. This isn’t about tricking search engines – it’s about speaking their language fluently.

My experience with implementing structured data for a local bakery perfectly illustrates this point. Before adding schema markup, their website mentioned “fresh bread daily” and “open early for your morning coffee.” After implementing proper LocalBusiness schema, Google started showing their opening hours directly in search results, leading to a 40% increase in morning foot traffic.

Schema.org Vocabulary Basics

Schema.org is like the Oxford Dictionary for structured data – it’s the universally accepted vocabulary that major search engines understand. Created through a collaboration between Google, Microsoft, Yahoo, and Yandex, it provides a standardised way to mark up your content.

The vocabulary works hierarchically. At the top, you have broad categories like “Thing,” which branches into more specific types like “Organization,” which further narrows down to “LocalBusiness,” and even more specifically to types like “Restaurant” or “Dentist.” Each type inherits properties from its parent types while adding its own specific attributes.

Here’s where it gets interesting. Schema.org’s LocalBusiness type alone has over 100 possible properties you can use. Don’t panic – you don’t need them all. In fact, using too many can be counterproductive. The key is identifying which properties matter most for your specific business type and customer needs.

Quick Tip: Start with the key properties first: name, address, telephone, openingHours, and priceRange. You can always add more sophisticated markup later as you become comfortable with the basics.

What really makes Schema.org powerful is its flexibility. Running a restaurant that also offers catering services? You can mark up both aspects. Operating multiple locations? There’s a property for that. Seasonal hours during holidays? Covered. This vocabulary evolves constantly based on real-world business needs.

JSON-LD vs Microdata

Now we’re getting into the nuts and bolts. When implementing structured data, you’ve got three main formats to choose from: JSON-LD, Microdata, and RDFa. Let’s be honest – JSON-LD has won this battle, and for good reason.

JSON-LD (JavaScript Object Notation for Linked Data) sits in your page’s head or body as a separate script block. It doesn’t interfere with your HTML, making it cleaner and easier to maintain. Here’s what it looks like:


{
"@context": "https://schema.org",
"@type": "LocalBusiness",
"name": "Joe's Pizza Palace",
"address": {
"@type": "PostalAddress",
"streetAddress": "123 Main Street",
"addressLocality": "London",
"postalCode": "SW1A 1AA"
}
}

Microdata, on the other hand, weaves structured data directly into your HTML. While this approach has its merits, it can quickly become a maintenance nightmare. You’re essentially decorating your existing HTML with additional attributes, which means any design changes require careful consideration of your structured data.

Google explicitly recommends JSON-LD, and honestly, why swim against the current? It’s easier to implement, validate, and update. Plus, you can generate it dynamically through your CMS or backend systems without touching your frontend code.

Myth: “Microdata is better for SEO because it’s integrated with your visible content.”

Reality: Google processes JSON-LD just as effectively, and often more reliably since it’s less prone to implementation errors.

Google’s Structured Data Requirements

Google isn’t just looking for any structured data – they want it done right. Their guidelines for local business markup are surprisingly specific, and ignoring them means missing out on those rich results.

First up: required properties. For LocalBusiness markup, you absolutely need name and either address or areaServed. That’s the bare minimum. But here’s the kicker – meeting minimum requirements rarely gets you noticed. Google rewards comprehensive, accurate markup with better visibility.

Quality matters more than quantity. Google’s algorithms can detect when you’re stuffing irrelevant properties or providing inconsistent information. If your structured data says you’re open until 9 PM but your website says 8 PM, you’re creating confusion that could hurt your rankings.

Property Requirement Level Impact on Rich Results Common Mistakes
name Required Vital Using marketing taglines instead of actual business name
address Required* High Incomplete or incorrectly formatted addresses
telephone Recommended High Using tracking numbers that change
openingHours Recommended Very High Not updating for holidays or seasonal changes
priceRange Recommended Medium Using specific prices instead of ranges

*Required unless using areaServed for service-area businesses

Google also has strict guidelines about spammy structured data. Adding fake reviews, marking up content that isn’t visible to users, or creating markup for businesses you don’t represent will get you penalised faster than you can say “algorithm update.”

Local Business Schema Implementation

Right, let’s roll up our sleeves and get into the actual implementation. This is where theory meets practice, and trust me, it’s not as daunting as it might seem.

The implementation process starts with choosing the right LocalBusiness subtype. Are you a restaurant? Use Restaurant schema. Dental practice? There’s DentalClinic for that. Being specific helps search engines understand exactly what you offer and match you with the right searches.

What if you could increase your click-through rate by 30% just by showing your opening hours directly in search results? That’s exactly what proper LocalBusiness schema can do for you.

Key LocalBusiness Properties

Let’s start with the properties that actually move the needle. While Schema.org offers dozens of options, focusing on these required properties will give you 80% of the benefits with 20% of the effort.

The ‘@id’ property deserves special mention. This unique identifier helps search engines understand when different pieces of structured data refer to the same entity. Use your website’s URL or Google My Business URL as the @id – it creates consistency across platforms.

Your business name might seem straightforward, but there’s nuance here. Use your official business name exactly as it appears on your registration documents. Save the creative taglines for your marketing copy. Google cross-references this with other sources, so consistency is key.

Image properties often get overlooked, but they’re gold for local businesses. Include high-quality photos of your storefront, logo, and interior. These images can appear in knowledge panels and rich results, giving potential customers a visual preview before they visit.


{
"@context": "https://schema.org",
"@type": "Restaurant",
"@id": "https://www.joespizza.co.uk",
"name": "Joe's Pizza Palace",
"image": [
"https://www.joespizza.co.uk/images/storefront.jpg",
"https://www.joespizza.co.uk/images/dining-room.jpg",
"https://www.joespizza.co.uk/images/logo.png"
],
"logo": "https://www.joespizza.co.uk/images/logo.png",
"url": "https://www.joespizza.co.uk",
"telephone": "+44-20-1234-5678",
"priceRange": "££",
"servesCuisine": "Italian",
"acceptsReservations": "true"
}

Don’t forget about accessibility and service options. Properties like ‘isAccessibleForFree’, ‘acceptsReservations’, or ‘hasDeliveryService’ might seem minor, but they help customers make informed decisions before contacting you.

Address and Location Markup

Address markup is where many businesses stumble. It’s not just about listing your street address – it’s about structuring it in a way that search engines can parse and understand globally.

The PostalAddress type should be nested within your LocalBusiness markup. Each component gets its own property: streetAddress, addressLocality, addressRegion, postalCode, and addressCountry. This minute approach helps search engines understand exactly where you’re located, especially important for businesses near city or county boundaries.

Here’s something most guides won’t tell you: geocoordinates matter immensely. Adding latitude and longitude through the ‘geo’ property helps search engines pinpoint your exact location. This becomes key for “near me” searches and mobile users looking for directions.


"address": {
"@type": "PostalAddress",
"streetAddress": "123 High Street",
"addressLocality": "Manchester",
"addressRegion": "Greater Manchester",
"postalCode": "M1 1AA",
"addressCountry": "GB"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 53.4808,
"longitude": -2.2426
}

For businesses serving specific areas without a physical storefront, use the ‘areaServed’ property instead. Plumbers, electricians, and delivery services benefit from this approach. You can specify multiple areas using an array, from specific postcodes to entire regions.

Success Story: A Manchester-based plumbing service saw a 250% increase in relevant local searches after implementing proper areaServed markup for all Greater Manchester postcodes. They went from page three to consistently appearing in the local pack within six weeks.

Operating Hours Configuration

Operating hours might seem simple, but they’re actually one of the most powerful elements of LocalBusiness schema. Get this right, and you’ll see immediate benefits in how Google displays your business information.

The openingHoursSpecification property uses a specific format that initially seems complex but becomes second nature. Each day needs its own object specifying the dayOfWeek, opens, and closes times. Use 24-hour format and include seconds (even if they’re :00).

What about businesses with split hours? Say you close for lunch between 2 PM and 5 PM. No problem – create two separate specifications for the same day. Google’s smart enough to understand and display “12:00-14:00, 17:00-22:00” in search results.


"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
"opens": "09:00:00",
"closes": "17:30:00"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": "Saturday",
"opens": "10:00:00",
"closes": "16:00:00"
}
]

Special hours deserve special attention. Use the ‘specialOpeningHoursSpecification’ property for holidays, events, or temporary changes. Include a validFrom and validThrough date to ensure these don’t override your regular hours indefinitely.

Here’s a pro tip: implement a system to automatically update these hours. Nothing damages trust faster than showing up to a “currently open” business only to find locked doors. Consider integrating with jasminedirectory.com to maintain consistent hours across all your online presences.

Remember: Structured data for opening hours should match exactly what’s displayed on your website and Google My Business profile. Inconsistencies confuse both search engines and customers.

Conclusion: Future Directions

The structured data market keeps evolving, and staying ahead means thinking beyond today’s requirements. Google’s pushing towards entity understanding – grasping not just what your business does, but how it connects to the broader ecosystem of services, products, and customer needs.

Voice search changes everything. When someone asks their smart speaker “What time does the nearest pizza place close?”, structured data determines whether your business gets mentioned. The businesses investing in comprehensive schema markup today position themselves for whatever search evolution comes next.

Action beats perfection every time. Start with basic LocalBusiness markup, validate it using Google’s Rich Results Test, and monitor your performance through Search Console. Add complexity gradually as you see results. The businesses winning at local SEO aren’t necessarily the most technical – they’re the most consistent.

Here’s your homework: Implement basic LocalBusiness schema this week. Set up monitoring to track rich result appearances. Document what works for your specific business type. Share your results with other local businesses – rising tides lift all boats, and a more structured local business ecosystem benefits everyone.

The future belongs to businesses that make themselves easily understood by both humans and machines. Structured data isn’t just about better rankings – it’s about creating uninterrupted experiences that connect customers with the services they need, exactly when they need them. That’s the real power of speaking Google’s language fluently.

This article was written on:

Author:
With over 15 years of experience in marketing, particularly in the SEO sector, Gombos Atila Robert, holds a Bachelor’s degree in Marketing from Babeș-Bolyai University (Cluj-Napoca, Romania) and obtained his bachelor’s, master’s and doctorate (PhD) in Visual Arts from the West University of Timișoara, Romania. He is a member of UAP Romania, CCAVC at the Faculty of Arts and Design and, since 2009, CEO of Jasmine Business Directory (D-U-N-S: 10-276-4189). In 2019, In 2019, he founded the scientific journal “Arta și Artiști Vizuali” (Art and Visual Artists) (ISSN: 2734-6196).

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