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46match
a1-drivewaysealing.com
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45match
2acontractorsllc.com
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45match
fenestrationservices.com
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44match
a1homerenovation.com
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44match
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44match
jdrenovates.com
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44match
handymanocala.com
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0 co-citations2 shared tech2 shared categoryhome-improvement
44match
bailiffexteriors.com
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0 co-citations2 shared tech2 shared categoryhome-improvement
44match
generalcontractorjp.com
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0 co-citations2 shared tech2 shared categoryremodeling-and-construction
44match
genesisconstructionservices.com
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0 co-citations2 shared tech2 shared categoryremodeling-and-construction
42match
hammarhouse.com
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0 co-citations2 shared tech2 shared categoryremodeling-and-construction
42match
fhlumber.com
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0 co-citations2 shared tech2 shared categoryremodeling-and-construction
42match
a-a-servicesoftn.com
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0 co-citations2 shared tech2 shared categoryhome-improvement
41match
laquaconstruction.com
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0 co-citations2 shared tech2 shared categoryremodeling-and-construction
41match
jbtrimwork.com
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0 co-citations2 shared tech2 shared categoryhome-improvement
41match
handymanbuildingsolutions.com
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0 co-citations2 shared tech2 shared categoryhome-improvement
41match
greatwhiteboatworks.com
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0 co-citations2 shared tech2 shared categoryremodeling-and-construction
41match
greenbuildcarpenter.com
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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.