Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

MANAMANAmanamana.ai

MANAMANA is a free, AI-powered app that personalizes English, Chinese, and Japanese lessons to your level in just three minutes a day.

Learning & Educationmanamana.aiTracked since 2026-08-211 discovery source
1.7KBacklinks
113Referring domains
20Domain authority
+45.9%Referring domains · 90 days

Authority & distribution

How strong is MANAMANA’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

1.7KCurrent snapshot

Referring domains

113Current snapshot

Authority

20Domain authority · category median 21

90-day move

+45.9%Referring domains, last 90 days
At 20, MANAMANA sits below 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.

See the trajectoryOpen the full profile

AI referral visibility

Which AI assistants are already sending MANAMANA traffic?

Measured · Pro

Measured for this product: AI referral traffic.

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Product profile

What MANAMANA is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“MANAMANA”

MANAMANA is a free, AI-powered app that personalizes English, Chinese, and Japanese lessons to your level in just three minutes a day.

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://manamana.ai/

Observed across 1 discovery source.

Research questions

What the evidence answers about MANAMANA.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What does MANAMANA do and what problem does it solve?

MANAMANA is a free AI-powered app that personalizes language lessons to a user's level in just three minutes a day. It solves the problem of needing efficient, personalized, and accessible language learning for English, Chinese, and Japanese.

What features and advantages does MANAMANA offer?

MANAMANA offers CEFR-aligned courses, personalized AI teaching, efficient 3-minute daily exercises, practical scenario-based learning, and it is completely free with no hidden costs.

Which languages does MANAMANA support?

MANAMANA supports learning for English, Chinese, and Japanese.

What is MANAMANA used for and in what situations?

MANAMANA is used for learning English, Chinese, and Japanese. It is designed for beginners who want to learn in real-life situations through interactive exercises and conversations.

Who is MANAMANA for?

MANAMANA is for beginners who want to learn languages with personalized, AI-driven content. It is designed for users seeking a structured learning path aligned with CEFR standards.

What is MANAMANA?

MANAMANA is a free AI language learning app offering personalized CEFR-based courses for English, Chinese, and Japanese.

Behind the lock

Unlock full MANAMANA 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