/01
FinancialService schema and credentials
FinancialService schema, Person schema for advisors, credential markup for CFP/CFA/ChFC. Structured data AI engines use to identify and rank advisors.
AEO // FINANCIAL ADVISORS
AEO for Financial Advisors
Be the advisor named when prospects ask AI which planner to call.
/01 — THE GAP
Why most financial advisors are invisible to AI search.
Prospective clients now ask ChatGPT and Google AI for advisor recommendations. AI engines synthesize those answers from BrokerCheck data, advisor directories, structured reviews, and press citations — almost none of which most advisors optimize for.
The advisors who get named in AI search built the citation footprint deliberately. The rest get skipped while a brand-name brokerage gets the seat.
/02 — SIGNAL SOURCES
Where AI engines pull financial advisors signals from.
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01
BrokerCheck (FINRA)
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02
IAPD (SEC)
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03
NAPFA directory
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04
XYPN directory
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05
Google Business Profile
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06
Forbes Best-In-State lists
/03 — OUR APPROACH
How we engineer it.
/02
Directory and review consistency
BrokerCheck, IAPD, NAPFA, and Google reviews all aligned and optimized. AI engines weight directory consistency heavily for regulated professions.
/03
Compliance-clean citation building
Press placements and earned mentions in financial trades. Each one is a citation AI engines can pull, all reviewed for FINRA and SEC compliance first.
/04 — OUTCOMES
What you get.
- + Advisor named in AI engines for "financial advisor [city]" within 90 days
- + Credential and CFP markup validated and indexed
- + Directory consistency across BrokerCheck, IAPD, NAPFA, and Google
- + Compliance-reviewed citation footprint across press and trades
/05 — QUERIES WE TARGET
When buyers ask AI engines, this is what they ask.
Each engagement is built around the exact phrases your buyers ask AI engines and Google. For financial advisors this includes:
"AEO for financial advisors"
"AI search visibility for RIAs"
"how to get cited in ChatGPT as an advisor"
"AI optimization for wealth managers"
/06 — QUESTIONS
Common questions from financial advisors.
Does AI search optimization conflict with FINRA marketing rules? +
No. We focus on factual representation — credentials, services, locations, fee structure. We avoid performance claims and testimonials in restricted contexts. Every change is compliance-reviewable.
How do AI engines handle BrokerCheck data? +
They pull from it. Major LLMs train on BrokerCheck and IAPD records, which is why disclosures and disciplinary history affect how AI engines describe an advisor. Clean records and consistent profiles matter.
Will this work for a solo advisor? +
Yes — solo advisors often see faster movement because there are fewer competing entities. The work is identical; the timeline is sometimes shorter.
/07 — ALSO COVERING
Related industries we serve.
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Be the financial advisors AI engines name first.
Twenty-minute call. We audit your AI search visibility live and propose a path. No deck.
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