Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to assemblymansmith.com

Assemblyman Doug Smith for New York · ranked by shared content topics & relevance
100match
mathsmith.com
Assemblyman Doug Smith for New York
2 shared topicspolitics
68match
matthaney.com
Matt Haney for Assembly
2 shared topicselections
68match
fatimaforassembly.com
Fatima Iqbal-Zubair for State Assembly
2 shared topicselections
68match
guardianswift.com
Don Guardian & Claire Swift for Assembly
2 shared topicspolitics
68match
greghach.com
Home - Greg Hach for New York Congressional District 3
2 shared topicspolitics
67match
gumruyan.com
Zhirayr Gumruyan for State Assembly
2 shared topicselections
67match
romonaforkansas.com
Romona Smith for Kansas House District 33
2 shared topicspolitics
66match
ariruiz.com
Ari Ruiz – Dreamer for Assembly
2 shared topicselections
66match
benharman.org
Ben Harman for Newburyport
2 shared topicselections
66match
bergerforassembly.org
Sam Berger for NY State Assembly District 27
2 shared topicspolitics
66match
bergerforassembly.com
Sam Berger for NY State Assembly District 27
2 shared topicspolitics
65match
billsmithforsheriff.com
Bill Smith – for Sheriff
2 shared topicselections
65match
intelprocessors.com
- Frank Wagoner State Assembly 2026
2 shared topicselections
65match
bobiteman.com
Bo Biteman for Congress
2 shared topicselections
65match
newhampshireproud.com
Muriel Hall for NH
2 shared topicspolitics
65match
diversenewyork.com
Diverse New York — Latinos for Rivera · Turnout Command
2 shared topicselections
65match
lachicamayra.com
Mayra Macías for Congress
2 shared topicspolitics
64match
robforpa.com
Rob for PA - New Leadership for Northeastern Pennsylvania
2 shared topicselections

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.