RRepoGEO

REPOGEO REPORT · LITE

ruzin/stenoai

Default branch main · commit d3849f46 · scanned 5/24/2026, 8:57:02 PM

GitHub: 1,048 stars · 137 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 ruzin/stenoai, 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
    Clarify StenoAI as a complete application for confidential meeting intelligence

    Why:

    CURRENT
    Steno is the AI powered intelligence layer for all your confidential conversations, your private data never leaves anywhere. Record, transcribe, summarize, and query your meetings using local AI models. Perfect for government, defence, legal and C-suite professionals with confidential data needs.
    COPY-PASTE FIX
    Steno is a **desktop application** that acts as an AI-powered intelligence layer for all your confidential conversations. It allows you to record, transcribe, summarize, and query your meetings using local AI models, ensuring your private data never leaves your device. Steno is perfect for government, defence, legal, and C-suite professionals with strict confidential data needs.
  • mediumtopics#2
    Add application-focused topics and remove model-specific ones

    Why:

    CURRENT
    agentic-ai, ai, apple-silicon, clinical, deepseek, healthcare-ai, llama3, localllm, meeting-minutes, meeting-notes, qwen
    COPY-PASTE FIX
    confidential-meetings, local-ai-app, privacy-focused, meeting-transcription, meeting-summarization, secure-ai, desktop-app, apple-silicon, meeting-minutes, meeting-notes, localllm, agentic-ai, healthcare-ai, clinical
  • lowreadme#3
    Add a 'Why Steno?' or 'Comparison' section to highlight differentiators

    Why:

    COPY-PASTE FIX
    ### Why Steno?
Steno stands apart from generic AI models and cloud-based transcription services. Unlike tools like OpenAI Whisper, Llama 3, or Ollama, Steno is a complete, privacy-focused desktop application designed for end-users. It processes all your audio and generates summaries locally on your device, ensuring your confidential conversations never leave your control. This makes Steno a secure alternative to cloud services like Otter.ai or Fireflies.ai, especially for sensitive professional discussions.

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 ruzin/stenoai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openai/whisper
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/whisper · recommended 1×
  2. meta-llama/llama3 · recommended 1×
  3. mistralai/mistral-src · recommended 1×
  4. mistralai/mixtral-src · recommended 1×
  5. ollama/ollama · recommended 1×
  • CATEGORY QUERY
    How to transcribe and summarize confidential meetings using local AI models?
    you: not recommended
    AI recommended (in order):
    1. Whisper (openai/whisper)
    2. Llama 3 (meta-llama/llama3)
    3. Mistral 7B (mistralai/mistral-src)
    4. Mixtral 8x7B (mistralai/mixtral-src)
    5. Ollama (ollama/ollama)
    6. LocalAI (mudler/LocalAI)
    7. TensorFlow Lite (tensorflow/tensorflow)
    8. PyTorch Mobile (pytorch/pytorch)

    AI recommended 8 alternatives but never named ruzin/stenoai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are secure AI tools for analyzing sensitive professional discussions privately?
    you: not recommended
    AI recommended (in order):
    1. Llama 2
    2. Mistral
    3. Falcon
    4. Private AI
    5. Gretel.ai
    6. Microsoft Azure OpenAI Service
    7. Google Cloud Vertex AI
    8. AWS Bedrock
    9. Hugging Face
    10. OpenAI API

    AI recommended 10 alternatives but never named ruzin/stenoai. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 ruzin/stenoai?
    pass
    AI named ruzin/stenoai explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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