similar sites

Browse

Pricing AI Report

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🛰️AI Bot ObservatoryEvery AI crawler & who blocks it 📇AI Crawler Database900+ AI user agents + robots.txt gen ⚖️AI Crawler ComparisonCompare two AI crawlers head-to-head 💰AI Licensing / Pay-Per-CrawlWho can charge AI crawlers — Pay-Per-Crawl 🎛️AI Robots.txt Policy BuilderGoal-based robots.txt (cite me, don't train)🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔎Similar Site SearchFind websites like any domain 🔗Backlink CheckerWho links to any site — free All tools →

Browse free →

Sites similar to fatalvision.be

Fatalvision alternatives & similar sites

FATAL VISION — 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 Language Learning →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
ken.vision ↗	72 match 1 shared topics	Ken Vision	en	language-learning	robotsllmsaihumans	emailphone	none
visioncommunication.org ↗	64 match 1 shared topics	British Sign Language - Vision Communication	en	language-learning WordPress WooCommerce	robotsllmsaihumans	email phone	none
vision249.com ↗	64 match 1 shared topics	VISION Learning Center \| Vision Learning Center	en	language-learning	robotsllmsaihumans	emailphone	none
aklanon.ph ↗	63 match 1 shared topics	The Aklanon Dictionary Revision Project	en	language-learning Drupal	robotsllmsaihumans	emailphone	none
visualverbs.app ↗	63 match 1 shared topics	Visual Verbs	en	language-learning	robotsllmsaihumans	emailphone	none
visiblevowels.org ↗	62 match 1 shared topics	Visible Vowels	en	language-learning	robotsllmsaihumans	emailphone	none
nataliapavlou.com ↗	62 match 1 shared topics	Natalia Pavlou	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
visionarylanguageschool.com ↗	62 match 1 shared topics	Visionary Language School \| Connect. Learn. Travel. Exchange.	en	language-learning	robotsllmsaihumans	emailphone	none
abcsspanish.com ↗	62 match 1 shared topics	Digital Marketing	en	language-learning	robots llmsaihumans	emailphone	none
akhilvishwahindisamiti.org ↗	62 match 1 shared topics	AKHIL VISHWA HINDI SAMITI INC. NEW YORK	en	language-learning	robotsllmsaihumans	emailphone	none
deutschmitnatalie.com ↗	62 match 1 shared topics	Deutsch mit Natalie	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
khere.app ↗	62 match 1 shared topics	K-HERE - Korean for K-pop Fans Visiting Korea	en	language-learning Paddle	robotsllmsaihumans	emailphone	none
nataliadolgovaphd.com ↗	62 match 1 shared topics	Natalia Dolgova, PhD	en	language-learning	robotsllmsaihumans	emailphone	none
afghanbrailleandsignlanguage.org ↗	62 match 1 shared topics	Afghan Sign Language - Instructional Videos - Home	en	language-learning Weebly	robotsllmsaihumans	emailphone	none
myna.app ↗	62 match 1 shared topics	myna — Learn languages by shadowing real videos	en	language-learning	robotsllmsaihumans	emailphone	partial · 8
africhmond.org ↗	62 match 1 shared topics	Our mission \| AF Richmond	en	language-learning	robotsllmsaihumans	emailphone	none
freebirdinstitute.com ↗	62 match 1 shared topics	Free Bird Institute - Home	en	language-learning Kentico	robotsllmsaihumans	emailphone	none
nataliaoviedo.com ↗	62 match 1 shared topics	Natalia Oviedo \| Portfolio	en	language-learning	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.