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Home | Jamie C. Smith · ranked by category · tech stack · backlink co-citation
91match
jimorwig.com
Home | James Orwig
6 co-citations8 shared tech1 shared categoryfinancial-planning
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jasonegold.com
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jimfreudenberger.com
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6 co-citations8 shared tech1 shared categoryfinancial-planning
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kenzhara.com
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88match
cosentinofinancial.com
Home | Kevin Cosentino
6 co-citations8 shared tech1 shared categoryfinancial-planning
88match
juliaparks.com
Home | Julia Parks, CFP®, CLU, ChFC, RICP
6 co-citations8 shared tech1 shared categoryfinancial-planning
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Home | Jim Bertucci
6 co-citations8 shared tech1 shared categoryfinancial-planning
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Home | Matt Appel
6 co-citations8 shared tech1 shared categoryfinancial-planning
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joekeleher.com
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bollingeradvisors.com
Home | Bollinger Advisors
6 co-citations8 shared tech1 shared categoryfinancial-planning
83match
hburke.com
Home | Howard M. Burke, CFP®
6 co-citations8 shared tech1 shared categoryfinancial-planning
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Home | Eleonora Anastasia Sciopu
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82match
joelmishler.com
Home | Mr Joel Mishler
5 co-citations8 shared tech1 shared categoryfinancial-planning
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gregcall.com
Home | Mr Gregory Call
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82match
gregashekian.com
Home | Mr Gregory Ashekian
5 co-citations8 shared tech1 shared categoryfinancial-planning
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How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.