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EVP Kanton Luzern: Aktuelles — 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 Politics →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
diemitte-luzern-land.ch ↗	63 match 2 shared topics	Willkommen \| Die Mitte Wahlkreis Luzern Land	Switzerland de	elections WordPress	robotsllmsaihumans	emailphone	none
dieterklaey.ch ↗	62 match 2 shared topics	Dieter Kläy \| Kantonsrat, Präsident FDP Winterthur, Vizepräsident FDP Kt. Zürich \| FDP Kanton Zürich \| Winterthur	Switzerland de	politics Kentico	robotsllmsaihumans	emailphone	none
evp-sh.ch ↗	62 match 2 shared topics	EVP SH	Switzerland de	elections Squarespace Magento	robotsllmsaihumans	emailphone	none
dieter-egli.ch ↗	61 match 2 shared topics	Dieter Egli, Vorsteher Departement für Volkswirtschaft und Inneres (DVI) – Regierungsrat Kanton Aargau – Ich will mich auch weiterhin für den Aargau und für seine Menschen einsetzen. Deshalb kandidiere ich am 20. Oktober 2024 erneut für den Regierungsrat.	Switzerland de	elections WordPress	robotsllmsaihumans	emailphone	none
dieteregli.ch ↗	61 match 2 shared topics	Dieter Egli, Vorsteher Departement für Volkswirtschaft und Inneres (DVI) – Regierungsrat Kanton Aargau – Ich will mich auch weiterhin für den Aargau und für seine Menschen einsetzen. Deshalb kandidiere ich am 20. Oktober 2024 erneut für den Regierungsrat.	Switzerland de	elections WordPress	robotsllmsaihumans	emailphone	none
campahub.ch ↗	61 match 2 shared topics	CampaHub – Grünliberale Stadt St.Gallen	Switzerland de	elections WordPress WooCommerce	robotsllmsaihumans	emailphone	none
diemitte-dagmersellen.ch ↗	61 match 2 shared topics	Die Mitte Dagmersellen \| Die Mitte Dagmersellen	Switzerland de	elections WordPress	robotsllmsaihumans	emailphone	none
tsakalidis.com ↗	60 match 2 shared topics	Dr. Georgios Tsakalidis - OB-Kandidat und kommunalpolitisch aktiv für alle Menschen in Münster	de	elections WordPress	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
meinwahlkreis.org ↗	60 match 2 shared topics	meinwahlkreis.org – Politik ganz nah!	de	elections WordPress WooCommerce	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-traunstein.org ↗	60 match 2 shared topics	CSU Ortsverband Traunstein – Startseite	de	politics Joomla	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

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.