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Shopping Css alternatives & similar sites

CSS Shopping | Google Shopping Ads mit 20% weniger Kosten — 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
csspartner.io ↗	69 match 1 shared topics	Google CSS Partner \| 20 % weniger CPC bei Shopping	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
productbuddy.at ↗	66 match 1 shared topics	Productbuddy \| Boost je Google Shopping en AI zichtbaarheid	Austria de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
unitedads.at ↗	64 match 1 shared topics	SEO und Google Ads Agentur	Austria de	marketing-and-advertising WordPress	robotsllmsaihumans	emailphone	none
mehr.digital ↗	64 match 1 shared topics	Online Marketing Agentur Bern Schweiz \| Web & Google Ads	de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
adcetera.ch ↗	64 match 1 shared topics	Google Ads Agentur für Onlineshops \| mehr Umsatz & Erfolg	Switzerland de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	email phone	none
nemea-marketing.de ↗	64 match 1 shared topics	Mehr Aufträge für Handwerksbetriebe \| Google SEO optimieren	Germany de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
niklasdeller.de ↗	63 match 1 shared topics	Dellerate \| Das Google Ads Profit-First-Framework für Onlineshops	Germany de	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
adrank.ch ↗	63 match 1 shared topics	Adrank — Mehr Kunden durch Google Ads	Switzerland de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
eisendle-marketing.com ↗	63 match 1 shared topics	Eisendle Marketing \| Online Marketing \| Seit 2014	de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
grrowthpathlabs.com ↗	63 match 1 shared topics	The M4 Method Guide \| The Scientific Method To Optimizing Your Meta Ads - Google Docs	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
ashantiwrites.com ↗	63 match 1 shared topics	Ashanti Wright_Portfolio - Google Docs	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
shamrockmarketingteam.com ↗	63 match 1 shared topics	2026-03-26 - luke@shamrockmarketing.org - rec7VCoqLQcrGbgah - Google Sheets	de	marketing-and-advertising	robotsllmsaihumans	emailphone	none
mediadesignerin.at ↗	63 match 1 shared topics	Online Marketing - KI-gestützte Google und Meta Werbung	Austria de	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
cult-consult.com ↗	63 match 1 shared topics	SEO Beratung München für Google & KI-Suche	de	marketing-and-advertising WordPress	robotsllmsaihumans	email phone	none
trywebwerk-design.com ↗	63 match 1 shared topics	Webwerk \| Google-Bewertungen löschen & mehr Bewertungen gewinnen	Germany~ de	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
abaechtold.ch ↗	63 match 1 shared topics	Google Ads Spezialist für E-Commerce & Leads \| Andreas Bächtold	Switzerland de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
andreasbaechtold.ch ↗	63 match 1 shared topics	Google Ads Spezialist für E-Commerce & Leads \| Andreas Bächtold	Switzerland de	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
winlocal.de ↗	62 match 1 shared topics	WinLocal \| Werde zur top Empfehlung bei Google und in KI-Assistenten	Germany de	marketing-and-advertising HubSpot	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.