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76match
eleni-home.com
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1 co-citations7 shared tech0 shared categorychildren-s-clothing
64match
janine-hege.com
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bankenaustria.com
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1 co-citations7 shared tech1 shared categoryhair-care
58match
provocationnails.de 🇩🇪
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1 co-citations7 shared tech1 shared categorynail-care
57match
mobiler-friseur-huber.de 🇩🇪
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1 co-citations7 shared tech1 shared categoryhair-care
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glam-face.de 🇩🇪
Glam Face – PMU Expertin Florentina
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feuerwerk-gems.com
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1 co-citations7 shared tech0 shared categorywomen-s-jewelry-and-watches
55match
makeup-artist-kinga.com
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1 co-citations0 shared tech2 shared categorymakeup-and-accessories
54match
friseur-hteam.de 🇩🇪
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1 co-citations6 shared tech1 shared categoryhair-care
54match
the-studio-tuebingen.de 🇩🇪
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1 co-citations7 shared tech1 shared categoryhair-care
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elegance-glow.com
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1 co-citations7 shared tech0 shared categoryhair-care
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feinsinn-fashion.com
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1 co-citations7 shared tech0 shared categorywomen-s-fashion
52match
guellueaydinhairstudio.com
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52match
ballsaal.com
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49match
cevinbete.com
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1 co-citations1 shared tech1 shared categoryhair-care
49match
afbeautyglow.com
Ana Fries Beauty Glow
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49match
friseurteam-houx.de 🇩🇪
Willkommen auf der Website von Friseurteam Houx Niederkrüchten
1 co-citations1 shared tech1 shared categoryhair-care
49match
friseurteam-sommer.de 🇩🇪
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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.