RRepoGEO

REPOGEO REPORT · LITE

collabora/WhisperFusion

Default branch main · commit 807d35dd · scanned 5/25/2026, 6:32:49 AM

GitHub: 1,646 stars · 127 forks

AI VISIBILITY SCORE
30 /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
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 collabora/WhisperFusion, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ["real-time-ai", "conversational-ai", "speech-to-text", "llm", "text-to-speech", "whisper", "mistral", "tensorrt", "low-latency", "ai-assistant"]
  • highlicense#2
    Add a LICENSE file to clarify usage rights

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with Collabora's policies and the project's intent.
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Add a URL to the repository's homepage field in GitHub settings, pointing to a project page, demo, or relevant documentation.

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 collabora/WhisperFusion
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Text-to-Speech
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Text-to-Speech · recommended 2×
  2. Dialogflow CX · recommended 2×
  3. Amazon Lex · recommended 2×
  4. NVIDIA Riva · recommended 1×
  5. DeepSpeech (Mozilla) · recommended 1×
  • CATEGORY QUERY
    How to build a real-time conversational AI system with ultra-low latency?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Riva
    2. DeepSpeech (Mozilla)
    3. Coqui STT
    4. Tacotron 2
    5. FastSpeech 2
    6. HiFi-GAN
    7. WaveGlow
    8. ONNX Runtime
    9. Google Cloud Speech-to-Text (Streaming API)
    10. Google Cloud Text-to-Speech
    11. Dialogflow CX
    12. AWS Transcribe (Streaming API)
    13. AWS Polly
    14. Amazon Lex
    15. OpenAI Whisper
    16. ESPnet
    17. PyTorch
    18. TensorFlow
    19. Vosk
    20. MaryTTS
    21. RASA

    AI recommended 21 alternatives but never named collabora/WhisperFusion. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable efficient integration of speech-to-text, LLM, and text-to-speech for live interaction?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Platform
    2. Dialogflow CX
    3. Google Cloud Speech-to-Text
    4. Google Cloud Text-to-Speech
    5. PaLM 2
    6. Gemini
    7. Azure AI Services
    8. Azure Bot Service
    9. Azure Cognitive Services Speech
    10. Azure OpenAI Service
    11. OpenAI API
    12. OpenAI Whisper API
    13. OpenAI GPT API
    14. ElevenLabs
    15. AWS
    16. Amazon Transcribe
    17. Amazon Polly
    18. Amazon Lex
    19. Amazon Bedrock
    20. Anthropic's Claude
    21. AI21 Labs' Jurassic
    22. AssemblyAI API
    23. Deepgram API
    24. Cohere API
    25. Anthropic API
    26. Resemble.ai API

    AI recommended 26 alternatives but never named collabora/WhisperFusion. 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 collabora/WhisperFusion?
    pass
    AI named collabora/WhisperFusion explicitly

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

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

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

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MARKDOWN (README)
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collabora/WhisperFusion — 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