How to get recommended by AI for mortgage brokers

Mortgage decisions are high-stakes and increasingly researched by asking an assistant who to trust — a first-time buyer, a self-employed borrower, someone refinancing in a specific state. The broker that gets named answers those exact situations on the website in plain language, is licensed and clear about which states and loan types it serves, and carries consistent, review-backed profiles on the finance and review platforms the models lean on.

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FAQ

What do AI assistants reward in a mortgage broker?Situation-specific answers and verifiable licensing. A page that addresses the real questions borrowers ask — loan types, states served, who you help — in readable text matches far more queries than generic rate-and-trust copy, and clear licensing and location detail give the model an entity it can safely resolve to.

Why does a competitor broker get recommended instead of me?Often because the review sites and finance directories the models trust describe that broker more consistently than your own site describes you, or because your site buries the specifics a borrower asks about. The model favors the source it can verify and the site that answers the exact question.

How do I find out where I stand?Run a free Cited scan — it checks the AI-search readiness signals on your website (crawler access, llms.txt, structured data and answer-ready content) and lists the fixes to make first.

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Most businesses score under 40/100 and have no idea. Find your score in 15 seconds, then fix it.

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