LangAI is an AI-powered language learning app designed to help users achieve conversational fluency in a new language within 30 days by focusing on common vocabulary and interactive practice.
Learning & Educationlangai.ioTracked since 2026-08-211 discovery source
616Backlinks
158Referring domains
21Domain authority
+15.0%Referring domains · 90 days
Authority & distribution
How strong is langai.io’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
616Current snapshot
Referring domains
158Current snapshot
Authority
21Domain authority · category median 21
90-day move
+15.0%Referring domains, last 90 days
At 21, langai.io sits above the 21 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“langai.io”
LangAI is an AI-powered language learning app designed to help users achieve conversational fluency in a new language within 30 days by focusing on common vocabulary and interactive practice.
Learning & EducationSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://langai.io
Observed across 1 discovery source.
Research questions
What the evidence answers about langai.io.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What is the core function of the LangAI app?
LangAI is an AI-powered language learning app designed to help users achieve conversational fluency in a new language within 30 days. It focuses on teaching the 1,000 most common words through interactive practice and real-life conversations.
Which languages can be learned using LangAI?
The app supports learning over 20 languages. The homepage lists specific examples including English, Spanish, Italian, French, German, Portuguese, Dutch, Swedish, Turkish, Russian, and Danish.
What key features does the language learning process include?
LangAI's learning process is structured in steps: learning the most frequent words, receiving detailed pronunciation analysis and feedback, translating sentences from day one, and practicing real-life AI conversations with instant feedback.
What specific problem is LangAI designed to solve for language learners?
It aims to solve the problem of achieving conversational fluency quickly by teaching high-utility vocabulary. The app states that knowing the 1,000 most frequent words allows a learner to handle 85% of everyday conversations.
What is LangAI?
LangAI is an AI-powered language learning app designed to help users achieve conversational fluency in a new language within 30 days.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full langai.io intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured