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 zomidictionary.com

Zomidictionary alternatives & similar sites

Zomi Dictionary — 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
mingbaidict.org ↗	77 match 1 shared topics	Mingbai Dictionary	en	language-learning	robotsllmsaihumans	emailphone	none
bengalidictionary.com ↗	77 match 1 shared topics	Bengali Dictionary	en	language-learning	robotsllmsaihumans	emailphone	none
english-dictionary.app ↗	76 match 1 shared topics	English Dictionary	en	language-learning	robotsllmsaihumans	emailphone	none
alefbet.tech ↗	72 match 1 shared topics	AlefBet — Hebrew Dictionary	en	language-learning	robotsllmsaihumans	emailphone	none
memv.io ↗	71 match 1 shared topics	A dictionary that remembers — Memvio	en	language-learning	robotsllmsaihumans	emailphone	none
degedictionary.com ↗	71 match 1 shared topics	Dege Dictionary 德格方言词典	en	language-learning WordPress	robots llmsaihumans	emailphone	none
spreadthesign.com ↗	70 match 1 shared topics	Sign language dictionary \| SpreadTheSign	en	language-learning	robotsllmsaihumans	emailphone	none
english-hindi.net ↗	70 match 1 shared topics	150k+ TRANSLATIONS \| English to Hindi Dictionary	en	language-learning	robotsllmsaihumans	emailphone	none
english-punjabi.net ↗	70 match 1 shared topics	150k+ TRANSLATIONS \| English to Punjabi Dictionary	en	language-learning	robotsllmsaihumans	emailphone	none
deepvocabulary.com ↗	70 match 1 shared topics	Deep Vocabulary \| Reinvent Dictionary	en	language-learning	robotsllmsaihumans	emailphone	none
nagalanddictionary.com ↗	70 match 1 shared topics	Nagaland Dictionary: English to all Naga Tribal Languages	en	language-learning WordPress	robots llmsaihumans	emailphone	none
mkdict.net ↗	70 match 1 shared topics	MkDict Multilingual Taiwanese Dictionary	en	language-learning	robotsllmsaihumans	emailphone	partial · 8
ghomashi.com ↗	70 match 1 shared topics	Old Persian Dictionary - Ghomashi	en	language-learning	robotsllmsaihumans	emailphone	none
englishtotagalog.org ↗	69 match 1 shared topics	English To Tagalog Translator and Dictionary Online	en	language-learning	robotsllmsaihumans	emailphone	partial · 8
gilaki.app ↗	69 match 1 shared topics	Gilaki Dictionary - دیکشنری گیلکی	en	language-learning	robotsllmsaihumans	emailphone	none
wikisanskrit.com ↗	69 match 1 shared topics	WikiSanskrit \| Sanskrit Dictionary	en	language-learning	robotsllmsaihumans	emailphone	none
english-tamil.net ↗	69 match 1 shared topics	150k+ TRANSLATIONS \| English to Tamil Dictionary	en	language-learning	robotsllmsaihumans	emailphone	none
english-arabic.org ↗	69 match 1 shared topics	150k+ TRANSLATIONS \| English to Arabic Dictionary	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.