Each SEO suburb landing page you create generates its own LocalBusiness structured data, targeted specifically to that suburb or delivery area. This is one of the most powerful local SEO features on the platform.
Instead of a single business schema on your homepage, you get individual schema entries for each suburb you service. This allows search engines to match your store against location-specific queries with much greater precision.
A simplified example of the schema generated for a suburb page:
{
"@context": "https://schema.org",
"@type": "Florist",
"name": "Bloom & Co Florist - Flower Delivery Fitzroy",
"areaServed": "Fitzroy VIC",
"address": {
"@type": "PostalAddress",
"streetAddress": "12 Smith Street",
"addressLocality": "Melbourne",
"addressRegion": "VIC",
"postalCode": "3000",
"addressCountry": "AU"
},
"telephone": " 61 3 1234 5678",
"url": "https://www.example.com.au/delivery/fitzroy"
}Each suburb page generates its own version of this schema, with the areaServed and page URL changed to match that suburb.
If you add FAQs to a suburb landing page using the FAQ tool, those are included as FAQPage structured data specific to that page. This is particularly effective for AI search.
When someone asks an AI tool "does [your store] deliver to Fitzroy", a suburb page with FAQs that answers this question directly is far more likely to get cited than a page with no FAQ schema.
Create a page for every suburb you regularly deliver to. Each page is another local signal for that area. Stores with 20 to 30 suburb pages consistently outperform stores with none in local and AI search results.
See the Building SEO Suburb Landing Pages article for step-by-step instructions on creating these pages.
Use the Google Rich Results Test and enter a suburb page URL. You should see LocalBusiness structured data with the suburb name in the service area field.