RRepoGEO

REPOGEO REPORT · LITE

yacineMTB/talk

Default branch master · commit 408f7cb1 · scanned 6/5/2026, 9:28:15 PM

GitHub: 590 stars · 40 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 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 yacineMTB/talk, 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 H1 and first sentence to clarify core purpose

    Why:

    CURRENT
    # Talk
    
    Let's build a conversational engine so we can talk to our computers! Demo with audio
    COPY-PASTE FIX
    # Talk: Your Local, Offline Conversational AI Engine
    
    Let's build a completely local, open-source conversational engine so we can talk to our computers! This project focuses on offline speech-to-text and text-to-speech capabilities to create a personal voice assistant. Demo with audio.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    voice-assistant, speech-to-text, text-to-speech, offline-ai, local-ai, conversational-ai, tts, stt, nodejs
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the root of the repository containing the text of your chosen open-source license (e.g., MIT, Apache-2.0, or GPL-3.0).

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 yacineMTB/talk
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Rhino Speech-to-Text (Picovoice)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Rhino Speech-to-Text (Picovoice) · recommended 1×
  2. Mozilla DeepSpeech · recommended 1×
  3. Coqui TTS · recommended 1×
  4. Mycroft Mimic 3 · recommended 1×
  5. Rasa · recommended 1×
  • CATEGORY QUERY
    How to build a custom voice assistant that runs entirely on my local machine?
    you: not recommended
    AI recommended (in order):
    1. Rhino Speech-to-Text (Picovoice)
    2. Mozilla DeepSpeech
    3. Coqui TTS
    4. Mycroft Mimic 3
    5. Rasa
    6. spaCy
    7. Pico TTS (eSpeak NG)

    AI recommended 7 alternatives but never named yacineMTB/talk. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source framework for offline speech-to-text and text-to-speech AI applications.
    you: not recommended
    AI recommended (in order):
    1. Mozilla Common Voice
    2. DeepSpeech (mozilla/DeepSpeech)
    3. Coqui TTS (coqui-ai/TTS)
    4. Vosk (alphacep/vosk-api)
    5. eSpeak NG (espeak-ng/espeak-ng)
    6. Rhasspy (rhasspy/rhasspy)
    7. Kaldi (kaldi-asr/kaldi)
    8. MaryTTS (marytts/marytts)
    9. Picovoice
    10. Porcupine (Picovoice/porcupine)
    11. Rhino (Picovoice/rhino)
    12. Cheetah (Picovoice/cheetah)
    13. Orca (Picovoice/orca)

    AI recommended 13 alternatives but never named yacineMTB/talk. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 yacineMTB/talk?
    pass
    AI named yacineMTB/talk explicitly

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

  • If a team adopts yacineMTB/talk in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yacineMTB/talk 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 yacineMTB/talk solve, and who is the primary audience?
    pass
    AI did not name yacineMTB/talk — likely talking about a different project

    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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yacineMTB/talk — 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