A multi-state residential brokerage moved its acquisition engine from paid search to AI-answer citation, lifting organic traffic 273% and making AI search the channel its loan officers trust most.
Borrowers had shifted their research to AI tools, asking ChatGPT and Perplexity which lenders handle first-time buyers, jumbo, or self-employed borrowers in their state. The brokerage was spending heavily on paid search and referral fees, yet remained absent from the AI answers where that demand was actually forming.
Traditional keyword rankings were no longer a reliable proxy for intent, and every dollar of paid acquisition was fighting for a shrinking share of borrower attention. Leadership needed a channel strategy built for how borrowers search in 2026, not a refresh of the playbook that worked in 2019.
Everlake began by mapping the borrower-intent queries the brokerage's ICP was running inside AI tools, then rebuilt the firm's digital footprint so the models would cite it as the authority for the loan products and borrower profiles it serves best.
The work covered site architecture, rate and program content, and local-market entity signals, engineered so AI answers would surface the brokerage by name in the markets it actively lends in. Success was measured against AI-answer inclusion, not traditional keyword rankings, and every change was instrumented against that benchmark.
Inbound traffic growth within nine months, peaking near 51K monthly visitors from near zero AI-search attribution.
Of priority borrower queries in target markets now cite the brokerage by name inside ChatGPT and Perplexity answers.
Cost per funded loan from inbound channels down materially versus paid search baseline — the channel now pays for itself.
"AI changed how people search and find a mortgage. Everlake lifted us to the top of AI search results and drove a material step change in inbound applications. It is now the channel our loan officers trust most."