Piperic Business Intelligence
similar sites
‹ profile

Sites similar to cfla6.com

Home | Cleo For Congress · ranked by category · tech stack · backlink co-citation
65match
cf4la.com
Home | Cleo For Congress
0 co-citations3 shared tech2 shared categoryelections
59match
felixseier.com
Home | Felix Seier for Congress
0 co-citations3 shared tech2 shared categoryelections
58match
24congress.com
HOME | 24 Congress
0 co-citations3 shared tech2 shared categorypolitics
58match
adrianboafo.com
Adrian Boafo for Congress
0 co-citations3 shared tech2 shared categoryelections
58match
adrian4md.com
Adrian Boafo for Congress
0 co-citations3 shared tech2 shared categoryelections
56match
electjenniferbacon.com
HOME | Bacon for Colorado
0 co-citations3 shared tech2 shared categoryelections
56match
costelloforsenate.com
Home | Costello For Senate
0 co-citations3 shared tech2 shared categoryelections
55match
elijahfornj.com
Elijah Dixon for Congress | NJ District 12
0 co-citations3 shared tech2 shared categorypolitics
55match
dianaforcaldwell.com
HOME | Diana For Caldwell
0 co-citations3 shared tech2 shared categoryelections
54match
dems4ec.com
Home | Dems for the EC
0 co-citations3 shared tech2 shared categoryelections
54match
coreywinstonforok.com
HOME | Corey Winston for County Commissioner
0 co-citations3 shared tech2 shared categoryelections
54match
ferd4pa.com
Home | Ferderber For PA
0 co-citations3 shared tech2 shared categoryelections
54match
geneforsheriff.com
Home | Gene for Sheriff
0 co-citations3 shared tech2 shared categoryelections
54match
grayforvirginia.com
Home | Gray For Virginia
0 co-citations3 shared tech2 shared categorypolitics
54match
bookerformidland.com
HOME | Booker for Midland
0 co-citations3 shared tech2 shared categoryelections
54match
el4tx.com
Lineberger for US Congress | Congressional District 26
0 co-citations3 shared tech2 shared categoryelections
54match
chadforpa.com
HOME | Chad Gleissl
0 co-citations3 shared tech2 shared categorypolitics
54match
copenhaverforindiana.com
Home | Copenhaver For State Senate
0 co-citations3 shared tech2 shared categorypolitics

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.