RRepoGEO

REPOGEO REPORT · LITE

Ayanaminn/N46Whisper

Default branch main · commit 28008a5a · scanned 6/18/2026, 2:03:23 PM

GitHub: 1,708 stars · 146 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface Ayanaminn/N46Whisper, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README opening to clarify Colab, audience, and maintenance status

    Why:

    CURRENT
    N46Whisper is a Google Colab notebook application that developed for streamlined video subtitle file generation to improve productivity of Nogizaka46 (and Sakamichi groups) subbers.
    COPY-PASTE FIX
    N46Whisper is an unmaintained Google Colab notebook application designed for streamlined Japanese video subtitle generation, specifically to improve productivity for Nogizaka46 (and Sakamichi groups) subbers.
  • hightopics#2
    Add specific topics for better categorization and recall

    Why:

    COPY-PASTE FIX
    japanese-subtitles, video-subtitles, google-colab, whisper-ai, faster-whisper, ass-format, speech-to-text, nogizaka46, sakamichi-series
  • mediumreadme#3
    Clarify faster-whisper usage to distinguish from OpenAI API

    Why:

    CURRENT
    The notebook is based on faster-whisper, a reimplementation of OpenAI's Whisper , a general-prupose speech recognition model.
    COPY-PASTE FIX
    This Google Colab notebook leverages `faster-whisper`, a highly optimized reimplementation of OpenAI's Whisper model, for efficient speech recognition and subtitle generation, without requiring an OpenAI API key.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface Ayanaminn/N46Whisper
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Happy Scribe
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Happy Scribe · recommended 2×
  2. Trint · recommended 2×
  3. Whisper (OpenAI) · recommended 1×
  4. Aegisub · recommended 1×
  5. Rev · recommended 1×
  • CATEGORY QUERY
    How to automatically generate Japanese subtitles for videos in ASS format?
    you: not recommended
    AI recommended (in order):
    1. Whisper (OpenAI)
    2. Happy Scribe
    3. Trint
    4. Aegisub

    AI recommended 4 alternatives but never named Ayanaminn/N46Whisper. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a fast tool to create accurate Japanese video subtitles for editing.
    you: not recommended
    AI recommended (in order):
    1. Happy Scribe
    2. Trint
    3. Rev
    4. Simon Says
    5. Amberscript
    6. Veed.io

    AI recommended 6 alternatives but never named Ayanaminn/N46Whisper. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of Ayanaminn/N46Whisper?
    pass
    AI named Ayanaminn/N46Whisper explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts Ayanaminn/N46Whisper in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Ayanaminn/N46Whisper explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo Ayanaminn/N46Whisper solve, and who is the primary audience?
    pass
    AI named Ayanaminn/N46Whisper explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)
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Ayanaminn/N46Whisper — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite