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Beardsley for Congress | A New Voice for The People — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Elections →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
gotv.com 62* match FullPAC | GOTV Campaign Platform — Texting, Voice & Data en Politics emailphone none
kevincraig.us 62* match KEVIN CRAIG for Congress -- Christian Libertarian for Missouri's 7th Congressional District United States en Politics email none
kirosforco.com 62* match Kiros for Congress | Melat Kiros for Colorado's First District en Elections none
poweredxpeople.org 62* match Powered By People en ElectionsWordPress robots none
daveforupstate.com 62* match dave for upstate | Congress en PoliticsWix none
votefordiamant.com 62* match Diamant Hysenaj for Congress NY-14 en Elections robots email none
votemikedugan.com 62* match MIKE DUGAN - Republican For Congress en Elections robots partial · 8
winred.com 55* match Raise More & Win with WinRed en PoliticsHubSpot robots none
campaignpartner.com 55* match Campaign Partner: We Make Political Campaign Websites Easy en Politics none
dailykos.com 55* match Daily Kos - Power Matters en PoliticsWordPress none
fec.gov 55* match Home | FEC en Politics none
wendydavisforcongress.com 55* match Wendy for TX-21 en ElectionsWixWix Stores robots none
iwillvote.com 55* match I Will Vote en Elections phone none
ncsbe.gov 55* match Home Page | NCSBE en PoliticsDrupal emailphone none
floridapolitics.com 55* match Florida Politics en PoliticsWordPress robots none
easywildflowers.com 55* match Joel Navarro for Supervisor en PoliticsSquarespace none
liberal.ca 55* match Liberal Party of Canada Canada en PoliticsWordPress none
techforcampaigns.org 55* match Tech for Campaigns | Fight extremism, help Democrats win en Politics none

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:

  • shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
  • same category whether they sit in the same business / industry category.
  • content & title how closely their titles and page descriptions line up in wording and meaning.

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.