RRepoGEO

REPOGEO REPORT · LITE

nazirlouis/ada_v2

Default branch main · commit d005af74 · scanned 6/4/2026, 6:07:51 PM

GitHub: 526 stars · 247 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 nazirlouis/ada_v2, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A sophisticated AI assistant for multimodal interaction, combining Gemini 2.5 Native Audio, computer vision, gesture control, and 3D CAD generation in an Electron desktop app.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-assistant, multimodal-ai, voice-control, gesture-control, 3d-cad, electron-app, gemini-api, computer-vision, smart-home, desktop-application
  • mediumreadme#3
    Add a 'Why ADA V2?' section to highlight its integrated nature

    Why:

    COPY-PASTE FIX
    ## ✨ Why ADA V2? 

Unlike solutions that offer isolated voice, vision, or CAD capabilities, ADA V2 provides a fully integrated, multimodal AI assistant. It seamlessly combines real-time voice interaction, gesture control, computer vision, and parametric 3D CAD generation into a single, intuitive desktop application, making complex design and control tasks accessible through natural interaction.

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 nazirlouis/ada_v2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Speech-to-Text API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Speech-to-Text API · recommended 1×
  2. Dialogflow · recommended 1×
  3. Google Cloud Natural Language API · recommended 1×
  4. Amazon Transcribe · recommended 1×
  5. Amazon Lex · recommended 1×
  • CATEGORY QUERY
    How to build a voice-controlled AI assistant with gesture recognition for design tasks?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text API
    2. Dialogflow
    3. Google Cloud Natural Language API
    4. Amazon Transcribe
    5. Amazon Lex
    6. Amazon Comprehend
    7. Mozilla DeepSpeech
    8. NVIDIA Riva
    9. MediaPipe
    10. MediaPipe Hands
    11. MediaPipe Pose
    12. OpenCV
    13. TensorFlow
    14. PyTorch
    15. Keras
    16. Azure Kinect DK
    17. Electron
    18. React Native
    19. Python
    20. Flask
    21. Django
    22. PySide
    23. PyQt

    AI recommended 23 alternatives but never named nazirlouis/ada_v2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework enables voice-driven 3D model generation and smart home device control?
    you: not recommended
    AI recommended (in order):
    1. Rhino
    2. Grasshopper
    3. Google Assistant
    4. Amazon Alexa
    5. OpenAI's Whisper
    6. GPT-4
    7. Unity
    8. Unreal Engine
    9. Google Assistant SDK
    10. Amazon Alexa Voice Service
    11. Home Assistant (home-assistant/core)
    12. Blender Python API
    13. OpenSCAD (openscad/openscad)
    14. OpenAI API
    15. DALL-E 3
    16. Philips Hue API
    17. SmartThings API
    18. IFTTT

    AI recommended 18 alternatives but never named nazirlouis/ada_v2. 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 nazirlouis/ada_v2?
    pass
    AI named nazirlouis/ada_v2 explicitly

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

  • If a team adopts nazirlouis/ada_v2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nazirlouis/ada_v2 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 nazirlouis/ada_v2 solve, and who is the primary audience?
    pass
    AI named nazirlouis/ada_v2 explicitly

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

Embed your GEO score

Drop this badge into the README of nazirlouis/ada_v2. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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nazirlouis/ada_v2 — 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