similar sites

Browse

Pricing AI Report

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Sites similar to ecdb.de

Ecdb alternatives & similar sites

ECDB – E-Commerce Data & Analytics Based on Billions of Transactions — 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 Business →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
ecommercedb.de ↗	100 match 1 shared topics	ECDB – E-Commerce Data & Analytics Based on Billions of Transactions	Germany de	business	robotsllmsaihumans	emailphone	none
e-commerce247.de ↗	67 match 1 shared topics	E-Commerce 24/7	Germany de	business WordPress	robotsllmsaihumans	emailphone	none
e-commerce-magazin.de ↗	65 match 1 shared topics	e-commerce-magazin Home	Germany de	business	robotsllmsaihumans	emailphone	partial · 4
ecckoeln.de ↗	65 match 1 shared topics	ECC KÖLN - Community für E-Commerce & Onlinehandel	Germany de	business WordPress WooCommerce	robotsllmsaihumans	emailphone	none
meinratepay.net ↗	65 match 1 shared topics	Maßgeschneiderte BNPL-Lösungen für den E-Commerce	de	business Sanity	robotsllmsaihumans	emailphone	none
ralphlauren-rechnung.de ↗	65 match 1 shared topics	Maßgeschneiderte BNPL-Lösungen für den E-Commerce	Germany de	business Sanity	robotsllmsaihumans	emailphone	none
empiri-ecom.de ↗	65 match 1 shared topics	empiriecom #betterecommerce	Germany de	business	robotsllmsaihumans	emailphone	none
ecommerce-leitfaden.de ↗	65 match 1 shared topics	E-Commerce-Leitfaden \| ibi research	Germany de	business	robotsllmsaihumans	emailphone	none
pur-ticket.de ↗	64 match 1 shared topics	white label eCommerce - Deine Ticketing & E-Commerce Lösung	Germany de	business WordPress WooCommerce	robotsllmsaihumans	emailphone	none
e-mail-outsourcing.de ↗	64 match 1 shared topics	E-Commerce Kundenportale für Händler und Hersteller	Germany de	business Akeneo	robotsllmsaihumans	emailphone	none
e-craftsmen.de ↗	64 match 1 shared topics	E-Commerce Kundenportale für Händler und Hersteller	Germany de	business Akeneo	robotsllmsaihumans	emailphone	none
e-craftsman.de ↗	64 match 1 shared topics	E-Commerce Kundenportale für Händler und Hersteller	Germany de	business Akeneo	robotsllmsaihumans	emailphone	none
e-commercetotal.de ↗	64 match 1 shared topics	E-Commerce Kundenportale für Händler und Hersteller	Germany de	business Akeneo	robotsllmsaihumans	emailphone	none
e-commerce-total.de ↗	64 match 1 shared topics	E-Commerce Kundenportale für Händler und Hersteller	Germany de	business Akeneo	robotsllmsaihumans	emailphone	none
ecommercetotal.de ↗	64 match 1 shared topics	E-Commerce Kundenportale für Händler und Hersteller	Germany de	business Akeneo	robotsllmsaihumans	emailphone	none
ecommerce-case-studies.de ↗	64 match 1 shared topics	E-Commerce Kundenportale für Händler und Hersteller	Germany de	business Akeneo	robotsllmsaihumans	emailphone	none
ecraftsman.de ↗	64 match 1 shared topics	E-Commerce Kundenportale für Händler und Hersteller	Germany de	business Akeneo	robotsllmsaihumans	emailphone	none
ecraftsmen.de ↗	64 match 1 shared topics	E-Commerce Kundenportale für Händler und Hersteller	Germany de	business Akeneo	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.