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72match
adventurouslyyours.com
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2 co-citations4 shared tech1 shared categorytravel
65match
coralsunsettravel.com
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63match
elegantetravel.com
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63match
janelletravel.com
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63match
janellecotravel.com
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1 co-citations4 shared tech1 shared categorytravel
63match
janelleandcotravel.com
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1 co-citations4 shared tech1 shared categorytravel
62match
heyalexana.com
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61match
bonvivanttravelco.com
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2 co-citations4 shared tech1 shared categorytravel
60match
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58match
aprilonthego.com
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57match
holtravels.com
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2 co-citations4 shared tech1 shared categorytravel
56match
jlj-travel.com
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1 co-citations4 shared tech1 shared categorytravel
55match
kendraandcotravel.com
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55match
makemyluxurytour.com
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55match
celebrantretreats.com
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1 co-citations4 shared tech1 shared categorytravel
55match
coordinatedescapes.com
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1 co-citations4 shared tech1 shared categorytravel
54match
mangatatravel.com
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getawaybycassiekay.com
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3 co-citations1 shared tech1 shared categorytravel

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.