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Merritt Matheson - For City of Stuart Commissioner | Group 3 — 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
broomfield.org 60* match City and County of Broomfield - Official Website | Official Website en Politics robots phone none
pickering.ca 60* match Home | City of Pickering Canada en ElectionsUmbraco phone none
cityofstanton.org 60* match City Of Stanton CA - Stanton City Hall Information United States~ en Politics robots none
nyccfb.info 60* match Welcome | New York City Campaign Finance Board en ElectionsDrupal none
cambridge.ca 60* match Home | City of Cambridge Canada en ElectionsUmbraco robots emailphone 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

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.