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Case Study · Mortgage Broking

From Zero to 30+ Leads a Month

How one of Australia’s top 10 mortgage brokers, based in Sydney, went from no organic leads at all to a compounding monthly pipeline — with a record 52 enquiries in a single month.

Sydney SEO & AEO High-Value Loan Types AI Search Leads
0 → 30+
organic leads per month
52
record month — January 2026
80%
of leads answer the phone
4,985
keywords ranking on Google
The Problem

A Big Name With No Organic Pipeline

This brokerage sits among the top 10 mortgage brokers in Australia. The business was strong; the website wasn’t pulling its weight. Organic enquiries were effectively zero — every lead came from referrals or paid channels, and in a category where Meta bans finance advertisers without warning, that’s a fragile place to build from.

The brief was simple: make the website a lead source in its own right, focused on the loan types worth the most to the business — refinancing, investment loans, bridging loans, equity loans, SMSF and construction lending.

The Growth

Enquiries by Month, From Day One

Every organic enquiry, tracked monthly from the start of the engagement. Slow start, steady compounding, then a step change — averaging 30+ a month across the last 12 months.

6
Aug 24
12
Sep 24
25
Oct 24
13
Nov 24
11
Dec 24
23
Jan 25
16
Feb 25
12
Mar 25
15
Apr 25
23
May 25
33
Jun 25
26
Jul 25
38
Aug 25
33
Sep 25
34
Oct 25
31
Nov 25
28
Dec 25
52
Jan 26
34
Feb 26
44
Mar 26
34
Apr 26
34
May 26
31
Jun 26

Organic enquiries per month, August 2024 to June 2026, as tracked in the client’s CRM. Highlighted: the record month, January 2026.

What We Did

Built Around High-Value Loans

01

A Cluster Per Loan Type

Instead of one generic “home loans” page, we built deep content clusters for each loan type the business wants more of: refinancing, investment loans, bridging finance, equity loans, SMSF lending, construction loans and lending for the self-employed.

02

Borrower Niches Too

Profession and situation pages — teachers, nurses, police, self-employed, no-deposit buyers — capture searches the big banks and comparison sites don’t bother writing for, and each one arrives pre-qualified by the page they landed on.

03

Ranked in Both Front Doors

Search has split in two: Google and AI engines. The same structured content now brings leads directly from AI search — borrowers asking ChatGPT and similar tools about refinancing, bridging and equity loans and being pointed to this broker.

04

Tracked to the Page

Every enquiry is logged monthly and traced to its source, so we know which clusters produce leads — and which loan types they’re for — and double down where the value is.

80% of these leads answer the phone. Bought leads are shared with four other brokers before you dial; a borrower who found you by searching picked you on purpose.

The Rankings

Winning the Money Keywords

A sample of the commercial terms now on page one — the searches where a click is worth thousands in loan revenue, with cost-per-click prices showing what competitors pay to buy the same visitor we get organically:

KeywordPositionWhat Advertisers Pay / Click
refinance mortgage broker sydney#2
low doc equipment finance#2$17.57
finance broker sydney#8$7.35
self employed mortgage broker#7$12.41
smsf broker#10$12.85
refinance broker newcastle#5
construction loan broker newcastle#7
investment property loan broker newcastle#9
refinance home equity loan newcastle#7

Positions from an organic rankings export (Australia), August 2026. Rankings move; these reflect the date of the export. In total: 4,985 keywords ranking, 173 on page one and climbing.

The Results

A Pipeline the Business Owns

  • From zero to 30+ organic leads a month, with a record 52 in January 2026 — a channel that didn’t exist two years ago now rivals paid sources.
  • 80% answer rate. These aren’t shared aggregator leads — they’re borrowers who chose this broker before picking up the phone.
  • High-value loan mix. Enquiries arrive for refinancing, investment loans, bridging loans and equity loans — including leads coming directly from AI search engines.
  • 4,985 keywords ranking with 173 on page one, an asset that keeps compounding while a paid campaign would stop the day the budget did.
MAP Group

Want a Pipeline Like This?

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