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Skopedu – Yeni Nesil Eğitim Danışmanlığı — 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 College Planning →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
draftegitim.com ↗	72 match 1 shared topics	Draft Eğitim - Yurtdışı Eğitim Danışmanlığı	tr	college-planning	robotsllmsaihumans	email phone	none
danismanim.co ↗	72 match 1 shared topics	Danışmanım \| Yurtdışı Eğitim Danışmanlığı	Colombia tr	college-planning	robotsllmsaihumans	email phone	none
gelecekelcisi.com ↗	71 match 1 shared topics	Polonya Yurtdışı Eğitim Danışmanlığı \| Gelecek Elçisi	tr	college-planning WordPress WooCommerce	robotsllmsaihumans	email phone	none
avustralyaegitimmerkezi.com ↗	68 match 1 shared topics	Avustralya Eğitim Merkezi - Yurtdışı Eğitim Danışmanlığı \| İngiltere Eğitim Merkezi	tr	college-planning	robotsllmsaihumans	email phone	none
gelecekdanismanlik.com ↗	67 match 1 shared topics	Gelecek Danışmanlık - Almanya Rehberi	tr	college-planning	robotsllmsaihumans	emailphone	none
gelecekbul.com ↗	64 match 1 shared topics	Gelecek Bul — AI Destekli Kariyer Danışmanı	tr	college-planning	robotsllmsaihumans	emailphone	none
geleceksenin.com ↗	64 match 1 shared topics	Gelecek Senin - Yeni Nesil Üniversite Tercih Robotu, 2024 YKS	tr	college-planning	robotsllmsaihumans	emailphone	none
cekyadaegitim.com ↗	64 match 1 shared topics	Ana Sayfa \| Çekya'da Eğitim	tr	college-planning Wix	robots llmsaihumans	email phone	none
cekyaegitimi.com ↗	62 match 1 shared topics	Çekya'da Eğitim \| Üniversite, Dil Okulu ve Hazırlık Programları \| STEB	Turkey~ tr	college-planning	robotsllmsaihumans	emailphone	none
360kampus.com ↗	60 match 1 shared topics	360Kampüs — Üniversiteni Hayatıyla Seç \| Kampüs, Yurt, Taban Puanları	tr	college-planning	robotsllmsaihumans	emailphone	none
puanium.com ↗	60 match 1 shared topics	2026 Üniversite Tercih Rehberi \| Taban Puan ve Başarı Sıralamaları	tr	college-planning	robotsllmsaihumans	emailphone	partial · 8
cekteegitim.com ↗	41 match 1 shared topics	Çek Cumhuriyeti'nde Eğitim Danışmanlığı - CekteEgitim	tr	college-planning WordPress	robots llmsaihumans	email phone	none
humanitasuniversitesi.com ↗	41 match 1 shared topics	Humanitas Üniversitesi – Pisa Edu Eğitim Danışmanlık	tr	college-education WordPress	robotsllmsaihumans	emailphone	none
ermantaspinardanismanlik.com ↗	35 match 1 shared topics	ERMAN TAŞPINAR DANIŞMANLIK; Konya vize danışmanlığı, vize başvuru merkezi, yurtdışı dil okulu dil eğitimi, yurtdışı üniversite eğitimi, yurtdışı yaz okulu yaz kursları, konya eğitim danışmanlık,	tr	college-planning	robotsllmsaihumans	email phone	none
iranuniversiteleri.com ↗	33 match 1 shared topics	İran'da Eğitim — Ana Sayfa \| Eurostar \| İran Üniversiteleri	tr	college-planning	robotsllmsaihumans	emailphone	none
geleceksizsiniz.com ↗	32 match 1 shared topics	geleceksizsiniz \| üniversite öğrencilerinin eğitim ve gelişimine destek	tr	college-planning Wix	robots llmsaihumans	emailphone	none
avusturyadaegitim.net ↗	32 match 1 shared topics	Avusturya'da Üniversite \| Avusturyada Eğitim, Avusturya'da Üniversite Eğitimi	tr	college-education	robotsllmsaihumans	emailphone	none
atacagyurdu.com ↗	32 match 1 shared topics	Ankara Ataçağ Erkek Öğrenci Yurdu – Erkek Öğrenci Yurtları	tr	college-education WordPress WooCommerce	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.