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88match
hhcomfort.com
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2 co-citations3 shared tech1 shared categoryhotels-and-motels
88match
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88match
greenwoodcabin.com
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2 co-citations3 shared tech1 shared categoryhotels-and-motels
88match
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2 co-citations3 shared tech1 shared categoryhotels-and-motels
88match
bookcozyonwalnut.com
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2 co-citations3 shared tech1 shared categoryhotels-and-motels
88match
elevatedescapevilla.com
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2 co-citations3 shared tech1 shared categoryhotels-and-motels
82match
centuryhomerealestate.com
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2 co-citations3 shared tech1 shared categoryhotels-and-motels
82match
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2 co-citations3 shared tech1 shared categoryhotels-and-motels
77match
kellscove.com
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laquintaluxuryvillas.com
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1 co-citations3 shared tech1 shared categoryhotels-and-motels
77match
malaazstays.com
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1 co-citations3 shared tech1 shared categoryhotels-and-motels
77match
jasminkas-hosting.com
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1 co-citations3 shared tech1 shared categoryhotels-and-motels
77match
can-toni.com
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1 co-citations3 shared tech1 shared categoryhotels-and-motels
77match
baliandino.com
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1 co-citations3 shared tech1 shared categoryhotels-and-motels
76match
guesthouseyoanna.com
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2 co-citations3 shared tech1 shared categoryhotels-and-motels
74match
cortooninn.com
Cotrtoon inn - Home page - location
2 co-citations3 shared tech1 shared categoryhotels-and-motels
74match
jmlodging.com
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1 co-citations3 shared tech1 shared categoryhotels-and-motels
74match
hiawathacabinsup.com
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1 co-citations3 shared tech1 shared categoryhotels-and-motels

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.