RRepoGEO

REPOGEO REPORT · LITE

kellyvv/PhoneClaw

Default branch main · commit 64ab7ff4 · scanned 6/5/2026, 6:17:25 AM

GitHub: 1,008 stars · 139 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 kellyvv/PhoneClaw, 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
    Add a prominent English positioning statement to README

    Why:

    COPY-PASTE FIX
    Add the following English sentence at the very top of `README.md`, before any existing content: "PhoneClaw is an on-device AI Agent for iPhone, running Gemma 4 and MiniCPM-V locally for private, offline AI capabilities."
  • mediumhomepage#2
    Set the repository homepage URL

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    Set the repository homepage URL to the project's TestFlight link or a dedicated project page.
  • mediumlicense#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    Add a section to the README, perhaps under '## 常见问题' or a new '## License' section, stating: "This project includes a LICENSE file. Please refer to the LICENSE file for specific terms and conditions."

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 kellyvv/PhoneClaw
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Core ML
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Core ML · recommended 2×
  2. TensorFlow Lite · recommended 2×
  3. apple/mlx · recommended 1×
  4. ggerganov/llama.cpp · recommended 1×
  5. huggingface/transformers · recommended 1×
  • CATEGORY QUERY
    How to run a large language model directly on an iPhone for offline use?
    you: not recommended
    AI recommended (in order):
    1. MLX (apple/mlx)
    2. Core ML
    3. llama.cpp (ggerganov/llama.cpp)
    4. Hugging Face transformers (huggingface/transformers)
    5. optimum (huggingface/optimum)
    6. MediaPipe (google/mediapipe)
    7. TensorFlow Lite

    AI recommended 7 alternatives but never named kellyvv/PhoneClaw. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an iOS framework to build AI agents that operate entirely offline on device.
    you: not recommended
    AI recommended (in order):
    1. Core ML
    2. TensorFlow Lite
    3. PyTorch Mobile
    4. MLX
    5. OpenCV
    6. ONNX Runtime

    AI recommended 6 alternatives but never named kellyvv/PhoneClaw. 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 kellyvv/PhoneClaw?
    pass
    AI named kellyvv/PhoneClaw explicitly

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

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