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Kreisverband Pforzheim-Enz — 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 →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
csu-traunstein.org ↗	67 match 2 shared topics	CSU Ortsverband Traunstein – Startseite	de	politics Joomla	robotsllmsaihumans	emailphone	none
meinwahlkreis.org ↗	62 match 2 shared topics	meinwahlkreis.org – Politik ganz nah!	de	elections WordPress WooCommerce	robotsllmsaihumans	emailphone	none
3mueller.info ↗	62 match 2 shared topics	David Dreimüller – Ihr Kreistagskandidat für die Gemeinde Blankenheim	de	elections WordPress	robotsllmsaihumans	emailphone	none
fon-friseur.com ↗	61 match 2 shared topics	Andre Schereika - Bundestagskandidat für den Wahlkreis Plön/Neumünster	de	elections	robotsllmsaihumans	emailphone	none
fdpkandertal.ch ↗	61 match 2 shared topics	FDP.Die Liberalen Berner Oberland - Willkommen	Switzerland de	elections TYPO3	robotsllmsaihumans	emailphone	none
alois-rainer.com ↗	60 match 2 shared topics	Alois Rainer MdB	de	elections	robotsllmsaihumans	emailphone	none
fdp-web4you.ch ↗	60 match 2 shared topics	Online-Wahlkampf leicht gemacht \| FDP web4you	Switzerland de	politics Kentico	robotsllmsaihumans	emailphone	none
leon-eckert.com ↗	60 match 2 shared topics	Leon Eckert \| #ImEinsatzFürEuch im Bundestag	de	politics WordPress	robotsllmsaihumans	emailphone	none
evp-sh.ch ↗	60 match 2 shared topics	EVP SH	Switzerland de	elections Squarespace Magento	robotsllmsaihumans	emailphone	none
mcstrider.com ↗	60 match 2 shared topics	McStrider \| Gedanken, Geschichten, Gehirnabstürze	de	elections WordPress	robotsllmsaihumans	emailphone	none
meinerseel.org ↗	60 match 2 shared topics	Meinerseel – Ungeordnete Gedanken in einer wirren Zeit	de	elections WordPress	robotsllmsaihumans	emailphone	none
csu-aschaffenburg.com ↗	60 match 2 shared topics	CSU Aschaffenburg-Stadt	de	elections WordPress WooCommerce	robotsllmsaihumans	emailphone	none
csu-neustadt.net ↗	60 match 2 shared topics	Neustadt an der Donau – CSU	de	elections TYPO3	robotsllmsaihumans	emailphone	none
csu-rottach-egern.com ↗	60 match 2 shared topics	Rottach-Egern – CSU	de	elections TYPO3	robotsllmsaihumans	emailphone	none
csu-woerth.net ↗	60 match 2 shared topics	Wörth – CSU	de	politics TYPO3	robotsllmsaihumans	emailphone	none
csuaschaffenburg.com ↗	60 match 2 shared topics	CSU Aschaffenburg-Stadt	de	elections WordPress WooCommerce	robotsllmsaihumans	emailphone	none
k-punkt.net ↗	60 match 2 shared topics	kritisch – kaotisch	de	elections WordPress	robotsllmsaihumans	emailphone	none
fdpwohlen.ch ↗	60 match 2 shared topics	FDP.Die Liberalen Wohlen - Willkommen	Switzerland de	elections TYPO3	robotsllmsaihumans	emailphone	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.