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Downtime for Business · ranked by category · tech stack · backlink co-citation
50match
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3 co-citations5 shared tech2 shared categorymarketing-and-advertising
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48match
botokay.com
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47match
getdigitick.com
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3 co-citations3 shared tech2 shared categorybusiness
44match
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2 co-citations5 shared tech2 shared categorybusiness
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bookaexpert.com
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43match
digiclutch.com
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3 co-citations3 shared tech2 shared categorymarketing-and-advertising
43match
afference.com
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2 co-citations5 shared tech2 shared categorybusiness
42match
hiveone.io
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41match
adsine.com
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3 co-citations1 shared tech2 shared categorymarketing-and-advertising
40match
geniusmyinsurance.org
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3 co-citations2 shared tech2 shared categorymarketing-and-advertising
40match
8worx.com
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2 co-citations6 shared tech1 shared categorybusiness
40match
botbrim.com
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3 co-citations2 shared tech2 shared categorymarketing-and-advertising
40match
apostlesocial.com
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4 co-citations4 shared tech2 shared categorymarketing-and-advertising
40match
holaray.io
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4 co-citations4 shared tech1 shared categorybusiness
39match
janelleparrington.com
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2 co-citations4 shared tech2 shared categorybusiness
39match
healthcoachpittsburgh.com
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2 co-citations4 shared tech2 shared categorybusiness

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.