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Google Bewertungen kaufen - Google Rezensionen kaufen — 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 Marketing And Advertising →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
loeschedeinebewertung.de ↗	72 match 1 shared topics	Negative Google Bewertungen löschen lassen	DE de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
dein-bewertungsmanager.com ↗	70 match 1 shared topics	Dein Bewertungsmanager - Bewertungen bei Google löschen	DE~ de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
5sterne.net ↗	70 match 1 shared topics	Google Maps Bewertung löschen - 5sterne.net	US~ de	marketing-and-advertising	robots llmsaihumans	emailphone	none
scalewebwerk-design.com ↗	68 match 1 shared topics	Webwerk \| Google-Bewertungen löschen & mehr Bewertungen gewinnen	DE~ de	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
5-sterne-fux.com ↗	66 match 1 shared topics	Mehr Kunden durch 5-Sterne-Bewertungen \| Praxisratgeber	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
saskiabauer.com ↗	65 match 1 shared topics	Google Ads Beratung - Saskia Bauer	de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
fastpal.com ↗	64 match 1 shared topics	FastPal Leads - Google Maps Lead Generation	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
hitaj-digital.de ↗	64 match 1 shared topics	Hitaj Digital: Profitables Wachstum mit Google Ads	DE de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
backlinks-kaufen.org ↗	64 match 1 shared topics	Backlinks kaufen — Linkbuilding-Wissensportal \| backlinks-kaufen.org	de	marketing-and-advertising	robots llmsaihumans	emailphone	none
adboxery.com ↗	64 match 1 shared topics	adboxery — Der Marktplatz für Creator und Marken. Mit Bewertung. Mit Vertrauen.	DE~ de	marketing-and-advertising	robots llmsaihumans	emailphone	none
hypebros.de ↗	64 match 1 shared topics	Google Ads Coaching — HypeBros	DE de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
zivoss.com ↗	64 match 1 shared topics	Zivoss \| Websites & Google Ads für Gebäudereiniger	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
2punkt.at ↗	64 match 1 shared topics	SEO, Google Ads, Social Media & Websiteerstellung \| 2punkt Online Marketing	AT de	marketing-and-advertising WordPress Lightspeed	robots llmsaihumans	email phone	none
cult-consult.com ↗	64 match 1 shared topics	SEO Beratung München für Google & KI-Suche	de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
backlink-kaufen.net ↗	64 match 1 shared topics	Backlinks kaufen zu fairen Preisen auf seotab	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
digitalisierung.net ↗	64 match 1 shared topics	Marketingberatung Hannes Wirtz – SEO, GEO & Google Ads	DE~ de	marketing-and-advertising	robotsllmsaihumans	email phone	none
jonasweber.com ↗	64 match 1 shared topics	High-End Google & SEO Beratung ~ 𝚓𝚘𝚗𝚊𝚜 𝚠𝚎𝚋𝚎𝚛	de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
hep-online.de ↗	64 match 1 shared topics	Marketingberatung Hannes Wirtz – SEO, GEO & Google Ads	DE de	marketing-and-advertising	robotsllmsaihumans	email phone	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.