Schema Markup Explained: What It Is, Why It Matters, and How to Add It to Your Australian Business Website

Schema markup is probably the most important thing most local Australian businesses have never heard of. It's also the fix that makes the biggest single difference to whether you appear in AI search — and it's something you can add to almost any website without touching the design at all.

Here's what it is, why it matters, and what to do about it.

What schema markup actually is

Schema markup is structured code — specifically JSON-LD, which stands for JavaScript Object Notation for Linked Data — that sits invisibly in your website's header. It's not something visitors see. It's something AI systems and search engines read.

The purpose is simple: it tells AI systems and search engines exactly what your business is, in a format they're built to understand.

Without schema markup, an AI model trying to understand your business has to read your website the way a human would — scraping text, inferring meaning, making educated guesses about what you do, where you are, and who you serve. It's unreliable. AI models don't like to recommend businesses they're not confident about.

With schema markup, you're handing the AI a structured fact sheet. Name. Address. Suburb. Phone number. Opening hours. Type of business. Services offered. Price range. It reads it, processes it, and uses it when someone asks a relevant question.

The difference in citation confidence is significant. A café in Jimboomba with proper LocalBusiness schema is one that AI can recommend with specific, accurate details. A café without it is one AI will skip or generalise about — if it mentions it at all.

The types that matter most for local businesses

There are hundreds of schema types for different contexts. For local businesses in SEQ, three matter most.

LocalBusiness schema is the foundation. It tells AI systems your business name, physical address, suburb, phone number, website, opening hours, price range, and business category. If you only add one type of schema to your website, make it this one.

FAQPage schema wraps your FAQ content in structured format.When someone asks ChatGPT “does the café in Jimboomba have parking?” — if you have FAQPage schema with an answer to that question, AI can extract and repeat your answer directly. This is how businesses get cited for specific, conversational queries rather than just general category searches.

Service schema lists your specific services in a structured format. Particularly useful for trades, health practices, and professional services where the specific service someone is searching for is the deciding factor.

What it looks like

Here's a simple example of LocalBusiness schema for a fictional café:

{
  "@context": "https://schema.org",
  "@type": "CafeOrCoffeeShop",
  "name": "Jimboomba Coffee Shop",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "12 Cusack Lane",
    "addressLocality": "Jimboomba",
    "addressRegion": "QLD",
    "postalCode": "4280",
    "addressCountry": "AU"
  },
  "telephone": "+61400000000",
  "openingHours": ["Tu-Su 06:00-14:00"],
  "description": "Family-run café in Jimboomba serving house-made pies, sourdough loaves, and specialty coffee. Open from 6am Tuesday to Sunday.",
  "url": "https://jimboombackoffeeshop.com.au",
  "priceRange": "$$"
}

The code sits between <script>tags in your website's header. It's not visible on the page. Search engines and AI systems read it automatically when they crawl your site.

The key fields for a local business are: the business type (@type), name, address broken into street, suburb, state, and postcode, telephone, opening hours, a description, and your website URL.

That's genuinely it for the basics. More detailed implementations add things like geo-coordinates, price range, accepted payment methods, and menu links — but the core fields above are what move the needle most.

How to add it to your website

The method depends on your platform.

WordPress — use the Yoast SEO or Rank Math plugin. Both have LocalBusiness schema built in and generate it from your settings without touching code. Fill in your business details in the plugin settings and it handles the rest.

Squarespace— go to Settings → SEO and add your schema code in the header code injection field. Squarespace doesn't generate LocalBusiness schema automatically so you need to add it manually.

Wix— go to Settings → Advanced → Custom Code → Head. Paste your schema there. Note that some Wix plans restrict this — if you're on a basic free plan you may not have access to custom code.

Webflow — add it in the Page Settings → Custom Code → Head Code field for your homepage.

Custom HTML site — paste it directly inside the <head> tag of your HTML.

How to generate the code— you don't need to write it by hand. Open Claude or ChatGPT and paste this prompt: “Generate LocalBusiness JSON-LD schema for my [business type] called [name] at [address], [suburb], [state]. Phone [number]. Hours [hours]. Services include [list].” It'll produce the complete, correctly formatted code in seconds. Review it for accuracy then paste it into your site.

How to check if it's working

Once you've added schema markup, validate it using Google's Rich Results Test at search.google.com/test/rich-results. Enter your website URL and it'll tell you what schema it detects and whether there are any errors.

Common errors to watch for: missing required fields (usually address or name), incorrect business type, and malformed JSON (usually a missing bracket or comma). Fix these before moving on — invalid schema is worse than no schema because it can confuse AI systems rather than help them.

The bigger picture

Schema markup is the foundation of GEO. Without it, everything else you do — Google Business Profile, FAQ content, directory listings — is building on sand. With it, you're giving AI systems a reliable, structured source of truth about your business that they can cite with confidence.

For most local businesses in SEQ, adding LocalBusiness and FAQPage schema is a one-hour job that permanently changes how AI systems understand and recommend them. It's the highest-leverage technical fix available and it doesn't require a developer, a redesign, or a monthly retainer.