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Rae Moore for the 8th District — 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
kevincraig.us 62* match KEVIN CRAIG for Congress -- Christian Libertarian for Missouri's 7th Congressional District United States en Politics email none
indiastatpublications.com 62* match Election Data Books Bihar, Assam, Kerala Assembly Elections (Vidhan Sabha)2020, 2021, District Data Books, Lok Sabha Elections Books India en Elections none
kirosforco.com 62* match Kiros for Congress | Melat Kiros for Colorado's First District en Elections none
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
beaulaneforaz.com 55* match Home - Beau Lane for AZ en ElectionsWordPress robots phone partial · 8
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
votesmart.org 55* match Vote Smart en Elections none
aristotle.com 55* match Political Data, Consulting & Software | Aristotle en PoliticsWordPress phone none
nrapvf.org 55* match NRA-PVF | EXPLORE NRA-PVF en PoliticsUmbraco none
liberal.ca 55* match Liberal Party of Canada Canada en PoliticsWordPress none
eac.gov 55* match Home | U.S. Election Assistance Commission en ElectionsDrupal 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.