Schema Markup for Mortgage Broker Websites

06 September 2026·5 min read

Quick answer: Adding FinancialService and service-area structured data to your mortgage broking website helps Google understand exactly which suburbs you serve, which supports your visibility in map-pack results for searches like "mortgage broker Robina." It won't guarantee a ranking on its own — reviews, proximity and your Google Business Profile still carry more weight — but it's a genuine, low-effort signal most broker websites are missing entirely. Here's the actual code. 📈

Most mortgage broker websites we audit have zero structured data — no schema markup at all telling Google what kind of business they are, where they operate, or what suburbs they actually serve. That's a gap, because schema is one of the few pieces of technical SEO you can implement once and have working in the background indefinitely, with no ongoing content effort.

It's not a magic ranking button, and any agency telling you otherwise is overselling it. But paired with a properly optimised Google Business Profile, it genuinely helps close the gap between "Google knows this business exists" and "Google understands this business serves Robina, Burleigh Heads and Palm Beach specifically." 💖

What most broker websites get wrong

The common mistake is either skipping schema entirely, or copy-pasting a generic "LocalBusiness" snippet from a template that doesn't reflect what the business actually does or where it actually operates. A broker who only services three specific Gold Coast suburbs but has a generic schema block with no areaServed field is leaving Google to guess — and Google's guess usually defaults to whatever address is in the footer, ignoring the actual service area entirely.

The other common gap is inconsistency: the suburb list in the schema doesn't match the service area listed on the Google Business Profile, which doesn't match what's written in the website footer. That mismatch (broken NAP — Name, Address, Phone — consistency) actively works against local ranking rather than helping it.

Copy-paste JSON-LD — adjust every bracketed field to match your real details:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FinancialService",
  "name": "[Brokerage Name]",
  "image": "https://www.[yourdomain].com.au/logo.jpg",
  "url": "https://www.[yourdomain].com.au",
  "telephone": "+61-7-XXXX-XXXX",
  "priceRange": "$$",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "[Street Address]",
    "addressLocality": "[Suburb]",
    "addressRegion": "QLD",
    "postalCode": "[Postcode]",
    "addressCountry": "AU"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": -28.0167,
    "longitude": 153.4000
  },
  "areaServed": [
    { "@type": "City", "name": "Robina" },
    { "@type": "City", "name": "Burleigh Heads" },
    { "@type": "City", "name": "Palm Beach" }
  ],
  "openingHoursSpecification": {
    "@type": "OpeningHoursSpecification",
    "dayOfWeek": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
    "opens": "08:30",
    "closes": "17:30"
  },
  "sameAs": [
    "https://www.facebook.com/[yourpage]",
    "https://www.linkedin.com/company/[yourpage]"
  ]
}
</script>

Solo broker, Robina office: Added the snippet above with three genuinely-serviced suburbs listed in areaServed, matched exactly to the Google Business Profile service area. Within two months, impressions for "mortgage broker Robina" in Search Console's map-pack-adjacent queries had grown noticeably, alongside a GBP refresh done at the same time.

Refinance-focused broker, multiple service suburbs: Previously had 11 suburbs listed in website copy purely for keyword coverage, most never actually serviced. Trimmed areaServed to the 4 suburbs genuinely worked, which also cleaned up ad targeting and GBP consistency at the same time.

First home buyer specialist broker: Paired the FinancialService schema with FAQ schema answering "how much deposit do I need" and "what is LMI" — giving Google two structured signals to pull from for both map-pack and AI-overview style results.

How to implement it properly

1. Confirm your NAP (name, address, phone) is identical across your website footer, Google Business Profile, and the schema — copy it from one source rather than retyping it three times.

2. List only the suburbs you genuinely service in areaServed — padding this list to chase more searches dilutes relevance rather than growing it.

3. Add the script to your site's <head> (most Shopify/website platforms let you do this via theme code or an SEO app's custom scripts section).

4. Test it in Google's Rich Results Test before considering it done — a typo in the JSON breaks the whole block silently.

5. Update it any time your service area, hours or contact details change — stale schema is arguably worse than no schema, since it actively tells Google the wrong thing.

💡 NAP consistency matters more than the schema type you choose. Whether you use FinancialService or a more generic LocalBusiness type, the biggest local SEO gain comes from your name, address and phone number matching exactly everywhere they appear online.

Mistakes to avoid

Mismatched NAP between schema, GBP and website footer: inconsistency undermines the exact local trust signals you're trying to build.
Listing every suburb you'd like to work in, not the ones you do: Google can and does penalise relevance mismatches over time.
Never testing the code: a single missing comma silently invalidates the entire schema block.
Forgetting to update it: changed office hours or a new service suburb should trigger a schema update, not just a website copy update.
Assuming schema alone will move rankings: it's a supporting signal, not a replacement for reviews, GBP optimisation, or genuine local content.

Frequently asked questions

Will adding this schema guarantee we show up in the map pack?

No — and it's important to be honest about that. Map-pack ranking is driven more heavily by your Google Business Profile, proximity to the searcher, and review signals. Schema markup is a supporting signal that helps Google understand your business correctly; it's not a shortcut past the other work.

Do we need a developer to add this?

Not necessarily — most website platforms have a spot for custom head code or scripts, though if you're not comfortable editing theme files, a quick job for a developer or your web agency is worth it to avoid breaking the site.

Should we use "FinancialService" or "LocalBusiness" as the schema type?

FinancialService is more specific and generally preferable where supported, since it more accurately describes a mortgage broking business — but a correctly filled-out LocalBusiness block with accurate NAP and areaServed data is still far better than no schema at all.

How do we check it's actually working?

Run the page through Google's Rich Results Test immediately after adding it, then monitor Search Console over the following weeks for changes in local query impressions — schema improvements are usually gradual, not overnight.