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53match
kandeauto.com
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3 co-citations7 shared tech0 shared categoryauto-repair
52match
1-mission.com
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kentdiesel.com
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2 co-citations8 shared tech0 shared categoryauto-repair
52match
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50match
jnautobody.com
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2 co-citations8 shared tech0 shared categoryauto-repair
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graysmobiledetail.com
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49match
cellevs.com
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3 co-citations7 shared tech0 shared categorygreen-vehicles
48match
apexgroundworkgroup.com
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2 co-citations7 shared tech0 shared categoryauto-repair
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apexglossmobile.com
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2 co-citations7 shared tech0 shared categoryautomotive
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aquaspadetaling.com
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2 co-citations7 shared tech0 shared categoryautomotive
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cbwrentals.com
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2 co-citations7 shared tech0 shared categoryauto-rentals
48match
asvservices.co.uk 🇬🇧
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2 co-citations7 shared tech0 shared categoryautomotive
46match
3bautodetailsupplies.com
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2 co-citations7 shared tech0 shared categoryautomotive
43match
arabmotorcompany.com
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1 co-citations7 shared tech0 shared categoryautomotive
43match
a2btaxissheffield.com
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1 co-citations7 shared tech0 shared categoryauto-rentals
42match
cerrajerialocks.com
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2 co-citations7 shared tech0 shared categoryauto-repair
42match
jimpaxton.com
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0 co-citations8 shared tech0 shared categoryautomotive
42match
jimsmotorsales.com
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0 co-citations8 shared tech0 shared categoryautomotive

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.