AI SEO for mortgage brokers.
When your customers ask ChatGPT, Gemini or Perplexity who to go to, the answer names a handful of businesses. This page is how your brokerage becomes one of them — the exact queries, signals and pages that decide it.
That’s the whole game: being the name inside the answer.
What your customers are asking AI right now
Real query patterns for mortgage brokers. Every one of these ends with an AI naming businesses — the only question is whose.
- “mortgage broker near me”
- “mortgage broker vs bank”
- “how do mortgage brokers get paid”
- “first home buyer broker [city]”
- “refinance broker [suburb]”
Why mortgage brokers win or lose in AI answers
The payment question can block trust
"How do brokers get paid" is a common concern before a first meeting. A plain page covering lender commissions, their relationship to advice and the best-interests duty can address scepticism before a call.
Scheme literacy is high-turnover authority
First-home guarantees, stamp-duty concessions and deposit schemes change over time and can confuse borrowers. Maintained plain-English explainers by state may earn citations when scheme-related queries increase.
Life moments, not products, are the queries
Many borrowers search their life situation — first home, refinance, self-employed or divorce settlement — rather than "loan products". Scenario pages can meet those needs more specifically than a generic product list.
The exact signals that get a broker named
- 1FinancialService schema (the real schema.org type) with credentials in text
- 2A "how we get paid" page — commissions, best-interests duty, plainly
- 3Scheme explainers per state, dated and maintained
- 4Scenario pages: first home, refinance, self-employed, investment
- 5Google Business Profile AND Bing Places; reviews naming the scenario handled
The generic version of this list, with difficulty ratings, is in our 20-step guide — the list above is what it looks like for your trade specifically.
Question pages that win for mortgage brokers
LLMs quote pages that answer one question plainly. These are the ones worth owning in your area:
- "How we get paid (and what it means for your advice)" — the trust page
- "[State] first home buyer schemes, explained simply" — updated quarterly
- "Self-employed home loans: what's actually possible" — the scenario magnet
Mortgage brokers ask us
How do mortgage brokers get recommended by AI?
Trust content plus scenario matching: payment transparency, scheme literacy, scenario pages and verifiable credentials. Engines route "broker vs bank" and scheme queries to whoever answered them plainly.
Are there compliance limits on what we publish?
General educational content with appropriate disclaimers is standard practice — explaining schemes, processes and how commissions work isn't personal advice. Keep it factual and general; your aggregator's guidelines cover the rest.
Scenario pages vs service pages?
Use scenario pages for life moments you genuinely handle well. "Refinancing after a divorce" reflects a specific need, while a generic "our lending services" page provides less context.
We do this for other industries too
Ready to publish clearer lending guidance?
The $200 audit tests your real customer queries across ChatGPT, Gemini and Perplexity, and hands you the fix list — use it with us or run it yourself.