RRepoGEO

REPOGEO REPORT · LITE

murtaza-nasir/speakr

Default branch master · commit d5d34fe2 · scanned 6/20/2026, 2:07:17 AM

GitHub: 3,257 stars · 262 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 murtaza-nasir/speakr, 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

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

OVERALL DIRECTION
  • highabout#1
    Refine the 'About' description for clarity on purpose

    Why:

    CURRENT
    Speakr is a personal, self-hosted web application designed for transcribing audio recordings
    COPY-PASTE FIX
    Speakr is a private, self-hosted web application for AI-powered audio transcription (speech-to-text) and intelligent note-taking, ensuring your recordings remain private.
  • mediumhomepage#2
    Add the project's documentation URL as the homepage

    Why:

    COPY-PASTE FIX
    https://murtaza-nasir.github.io/speakr

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 murtaza-nasir/speakr
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Whisper (OpenAI)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Whisper (OpenAI) · recommended 1×
  2. Mozilla DeepSpeech · recommended 1×
  3. Kaldi · recommended 1×
  4. Vosk (Alpha Cephei) · recommended 1×
  5. Picovoice Rhino Speech-to-Text · recommended 1×
  • CATEGORY QUERY
    What are the best self-hosted tools for transcribing audio recordings into text?
    you: not recommended
    AI recommended (in order):
    1. Whisper (OpenAI)
    2. Mozilla DeepSpeech
    3. Kaldi
    4. Vosk (Alpha Cephei)
    5. Picovoice Rhino Speech-to-Text
    6. CMU Sphinx (CMU Sphinxbase/Pocketsphinx)

    AI recommended 6 alternatives but never named murtaza-nasir/speakr. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a private, self-hosted AI solution for audio transcription and intelligent note-taking.
    you: not recommended
    AI recommended (in order):
    1. Whisper (openai/whisper)
    2. Llama 2 (facebookresearch/llama)
    3. Mistral (mistralai/mistral-src)
    4. Mixtral (mistralai/mixtral-src)
    5. Ollama (ollama/ollama)
    6. LM Studio
    7. transformers (huggingface/transformers)
    8. SpeechBrain (speechbrain/speechbrain)
    9. Mozilla DeepSpeech (mozilla/DeepSpeech)
    10. Rhino Speech-to-Text (Picovoice/rhino)
    11. Vosk (alphacep/vosk-api)

    AI recommended 11 alternatives but never named murtaza-nasir/speakr. 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 murtaza-nasir/speakr?
    pass
    AI named murtaza-nasir/speakr explicitly

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

  • If a team adopts murtaza-nasir/speakr in production, what risks or prerequisites should they evaluate first?
    pass
    AI named murtaza-nasir/speakr 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 murtaza-nasir/speakr solve, and who is the primary audience?
    pass
    AI named murtaza-nasir/speakr explicitly

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

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murtaza-nasir/speakr — 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