RRepoGEO

REPOGEO REPORT · LITE

Mobile-Artificial-Intelligence/maid

Default branch main · commit ecebd045 · scanned 5/30/2026, 4:07:34 AM

GitHub: 2,518 stars · 266 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 Mobile-Artificial-Intelligence/maid, 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 opening to emphasize "Android client application"

    Why:

    CURRENT
    # Maid - Mobile Artificial Intelligence Distribution
Maid is a free and open source application for interfacing with llama.cpp models locally...
    COPY-PASTE FIX
    # Maid - Android AI Chat Client
Maid is a free and open source Android application and mobile client for interfacing with llama.cpp models locally, and with Anthropic, DeepSeek, Mistral, Novita, Ollama and OpenAI models remotely.
  • highhomepage#2
    Add the Google Play Store link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://play.google.com/store/apps/details?id=com.danemadsen.maid
  • mediumtopics#3
    Add more specific topics to reinforce "client" and "application" nature

    Why:

    CURRENT
    android, anthropic, chatbot, chatgpt, claude, deepseek, facebook, gguf, llama, llama-cpp, mistral, mobile-artificial-intelligence, ollama, openai
    COPY-PASTE FIX
    android, anthropic, chatbot, chatgpt, claude, deepseek, facebook, gguf, llama, llama-cpp, mistral, mobile-artificial-intelligence, ollama, openai, llm-client, android-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 Mobile-Artificial-Intelligence/maid
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Termux
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Termux · recommended 1×
  2. AITable · recommended 1×
  3. LocalAI · recommended 1×
  4. ML Manager · recommended 1×
  5. OpenAssistant · recommended 1×
  • CATEGORY QUERY
    What are good open-source Android applications for interacting with various AI models?
    you: not recommended
    AI recommended (in order):
    1. Termux
    2. AITable
    3. LocalAI
    4. ML Manager
    5. OpenAssistant
    6. F-Droid

    AI recommended 6 alternatives but never named Mobile-Artificial-Intelligence/maid. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a mobile client for local and remote large language model inference.
    you: not recommended
    AI recommended (in order):
    1. MLC LLM
    2. MediaPipe
    3. ONNX Runtime Mobile
    4. TFLite
    5. Core ML
    6. PyTorch Mobile

    AI recommended 6 alternatives but never named Mobile-Artificial-Intelligence/maid. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 Mobile-Artificial-Intelligence/maid?
    pass
    AI named Mobile-Artificial-Intelligence/maid explicitly

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

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

    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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Mobile-Artificial-Intelligence/maid — 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