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Case Study · Mortgage Broking

Owning Local Search, Suburb by Suburb

How a Melbourne mortgage broker went after every suburb they serve with SEO & AEO location silos, instead of renting attention through ads.

Melbourne + Geelong Location Silos Commercial Lending Content SEO & AEO
21+
suburb pages in the Melbourne silo alone
44+
commercial lending articles published
$0
spent on ads to build the pipeline
The Problem

One Page Can’t Win a City

When someone in Melbourne needs a broker, they don’t search “mortgage broker Australia”. They search their suburb. “Mortgage broker Mornington Peninsula.” “Mortgage broker Casey.” Every one of those searches is a borrower ready to talk, and a single generic homepage can’t compete for any of them.

The paid alternative is brutal: bidding on every suburb keyword in one of Australia’s most competitive ad markets, in a finance category where Meta bans broker ad accounts without warning. This firm chose to own those searches instead of renting them.

The Architecture

How a Location Silo Works

A parent city page targets the broad term. Nested underneath it, an individual page for every suburb the broker serves, each written for that suburb’s actual market: acreage in one, new estates in another, apartments and investors in the next. Parent links to every child, every child links back and across. Google reads the whole structure as deep local authority.

/mortgage-broker-melbourne/
/mornington-peninsula/ /nillumbik/ /casey/ /berwick/ /cranbourne/ /eltham/ /frankston/ + 14 more suburbs

A second silo covers Geelong and the Surf Coast, with Torquay, Anglesea and Lorne nested beneath it. Same structure, new region.

What We Did

Built to Rank, Not to Fill Space

01

Unique Copy Per Suburb

Most agencies template location pages: swap the suburb name, ship it, hope Google doesn’t notice. Google notices. Every page in this build is written for its suburb’s real market, with shared sections like lender panels and FAQs rewritten uniquely each time.

02

A Comparison Table Per Page

Each suburb page carries its own loan comparison table with a compliance disclaimer. It’s the content borrowers actually want, it keeps them on the page, and it’s exactly the structured format AI answer engines like to cite.

03

Disciplined Internal Linking

The parent lists every suburb. Each suburb links its siblings and back to the parent, never to itself. Authority flows through the whole silo instead of pooling on one page, and every audit is checked against a duplication and link-balance workflow.

04

Commercial Depth on Top

Location pages capture “near me” intent; a 44+ article commercial lending cluster captures everything else, from business loans to complex structures. Together they answer the questions borrowers ask Google and, increasingly, ask ChatGPT.

Ads rent a suburb’s attention one click at a time. A silo page ranks for it every day, for free, while the broker sleeps.

The Outcome

An Asset in Every Suburb

  • Two full regional silos live: 21+ suburb pages across Melbourne plus a Geelong and Surf Coast build, each page targeting searches with clear borrower intent.
  • 44+ commercial lending articles compounding alongside them, every one audited for internal link balance and duplication before publishing.
  • Built once, produces indefinitely. Unlike an ad budget, a suburb page doesn’t stop working at the end of the month. The library keeps ranking and the cost per lead keeps falling.
  • Higher-intent enquiries. Across our broker clients, 80–90% of organic search and AI-search leads become meaningful conversations, versus 30–50% from Facebook ads.*

*Benchmarks observed across MAP Group broker clients. Individual results vary with market conditions and starting position.

MAP Group

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