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 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 →

Browse free →

Sites similar to speechislands.com

Speechislands alternatives & similar sites

Speech Islands - AI-Powered Language Learning — 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
read-ai.org ↗	76 match 1 shared topics	Read AI - AI-Powered Reading & Language Learning for Kids	en	language-learning	robotsllmsaihumans	emailphone	none
meetkleo.net ↗	73 match 1 shared topics	Kleo \| Language Learning	en	language-learning	robots llmsaihumans	emailphone	partial · 9
tubemo.com ↗	73 match 1 shared topics	TubeMo - Learn English with YouTube Videos \| AI-Powered Language Learning	en	language-learning	robotsllmsaihumans	emailphone	none
brixbloks.com ↗	73 match 1 shared topics	BrixBloks \| Ai Language Learning	en	language-learning WordPress WooCommerce	robotsllmsaihumans	emailphone	none
dreaming.com ↗	72 match 1 shared topics	Dreaming – Immersive Language Learning	en	language-learning	robotsllmsaihumans	emailphone	none
dringocean.com ↗	72 match 1 shared topics	Dringocean - Language Learning & AI Education	en	language-learning	robotsllmsaihumans	emailphone	none
guidemina.com ↗	72 match 1 shared topics	Guide Mina - Anime Language Learning Game	en	language-learning	robotsllmsaihumans	emailphone	none
gusonthego.com ↗	72 match 1 shared topics	Gus on the Go, a language learning adventure	en	language-learning WordPress	robotsllmsaihumans	emailphone	none
nihonfren.com ↗	72 match 1 shared topics	Nihonfren - Japanese Language Learning App for JLPT	en	language-learning	robotsllmsaihumans	emailphone	none
l-pub.com ↗	72 match 1 shared topics	L-Pub \| Language Learning Technology	en	language-learning WordPress	robots llmsaihumans	emailphone	none
newstoast.com ↗	72 match 1 shared topics	NewsToast — Bilingual News & Language Learning	en	language-learning	robots llmsaihumans	emailphone	none
nikkeistudy.com ↗	71 match 1 shared topics	benkyou nikkei - Japanese Language Learning	en	language-learning	robotsllmsaihumans	emailphone	none
curicaueri.org ↗	71 match 1 shared topics	Curicaueri - Purépecha Language Learning	en	language-learning	robotsllmsaihumans	emailphone	none
drfluent.com ↗	71 match 1 shared topics	DrFluent - AI-Assisted Language Academy for Precision Learning	en	language-learning	robotsllmsaihumans	emailphone	none
bonjouratous.net ↗	71 match 1 shared topics	Home - Bonjour a Tous French Language Learning	en	language-learning	robotsllmsaihumans	emailphone	none
thelanguager.com ↗	71 match 1 shared topics	The Languager – Language Learning Tools	en	language-learning Shopify	robots llmsaihumans	emailphone	none
laapp.com ↗	71 match 1 shared topics	LaApp - Language Learning Game	en	language-learning	robotsllmsaihumans	emailphone	none
tutobear.com ↗	71 match 1 shared topics	TutoBear - Master English in 60-90 Days with AI \| Premium Language Learning App	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.