RRepoGEO

REPOGEO REPORT · LITE

alichherawalla/off-grid-mobile-ai

Default branch main · commit 2f383896 · scanned 5/30/2026, 12:32:29 AM

GitHub: 2,290 stars · 200 forks

AI VISIBILITY SCORE
27 /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
1 / 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 alichherawalla/off-grid-mobile-ai, 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 README's opening to emphasize "application" or "toolkit" for users

    Why:

    CURRENT
    ### The Swiss Army Knife of On-Device AI

**Chat. Generate images. Use tools. See. Listen. All on your phone or Mac. All offline. Zero data leaves your device.**
    COPY-PASTE FIX
    ### Off Grid: The Swiss Army Knife Mobile AI Application

**This is a privacy-first mobile application that lets you Chat, Generate images, use tools, see, and listen—all on your phone or Mac, completely offline, with zero data ever leaving your device.**
  • mediumabout#2
    Refine the 'About' description to explicitly state it's a mobile application

    Why:

    CURRENT
    The Swiss Army Knife of Offline AI. Chat, Speak, and Generate Images - Privacy First, Zero Internet. Download an LLM and use it on your mobile device. No data ever leaves your phone. Supports text-to-text, vision, text-to-image
    COPY-PASTE FIX
    Off Grid is a privacy-first mobile AI application: the Swiss Army Knife for offline AI. Chat, Speak, and Generate Images directly on your phone or Mac, with zero internet and no data ever leaving your device. Supports text-to-text, vision, and text-to-image.
  • mediumtopics#3
    Add topics that emphasize the project's application nature

    Why:

    CURRENT
    edge-ai, gguf, llama-cpp, local-ai, mobile-ai, offline-ai, offline-llm, ondevice, ondevice-ai, privacy-first, stable-diffusion-android, tool-calling, whisper-android
    COPY-PASTE FIX
    edge-ai, gguf, llama-cpp, local-ai, mobile-ai, offline-ai, offline-llm, ondevice, ondevice-ai, privacy-first, stable-diffusion-android, tool-calling, whisper-android, mobile-app, ai-assistant-app, offline-app, local-llm-app

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 alichherawalla/off-grid-mobile-ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MLC LLM
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. MLC LLM · recommended 1×
  2. Apache TVM · recommended 1×
  3. Core ML · recommended 1×
  4. TensorFlow Lite · recommended 1×
  5. ONNX Runtime Mobile · recommended 1×
  • CATEGORY QUERY
    How can I run large language models and image generation entirely offline on a mobile device?
    you: not recommended
    AI recommended (in order):
    1. MLC LLM
    2. Apache TVM
    3. Core ML
    4. TensorFlow Lite
    5. ONNX Runtime Mobile
    6. ONNX
    7. MediaPipe
    8. Hugging Face Transformers
    9. Optimum

    AI recommended 9 alternatives but never named alichherawalla/off-grid-mobile-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a privacy-focused mobile AI assistant that processes all data locally on the device.
    you: not recommended
    AI recommended (in order):
    1. Apple Siri
    2. Google Assistant
    3. Voice Access
    4. MLX (apple/mlx)
    5. Termux (termux/termux-app)
    6. llama.cpp (ggerganov/llama.cpp)
    7. Llama 2
    8. Mistral
    9. Mycroft AI (MycroftAI/mycroft-core)
    10. Vosk (alphacep/vosk-api)
    11. Coqui STT (coqui-ai/STT)
    12. Piper (rhasspy/piper)
    13. eSpeak-ng (espeak-ng/espeak-ng)

    AI recommended 13 alternatives but never named alichherawalla/off-grid-mobile-ai. 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 alichherawalla/off-grid-mobile-ai?
    pass
    AI did not name alichherawalla/off-grid-mobile-ai — 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?

  • If a team adopts alichherawalla/off-grid-mobile-ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named alichherawalla/off-grid-mobile-ai 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 alichherawalla/off-grid-mobile-ai solve, and who is the primary audience?
    pass
    AI did not name alichherawalla/off-grid-mobile-ai — 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?

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  • Brand-free category queries5 vs 2 in Lite
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