RRepoGEO

REPOGEO REPORT · LITE

mainframecomputer/fullmoon-ios

Default branch main · commit cbc3c820 · scanned 5/16/2026, 3:42:37 PM

GitHub: 2,250 stars · 222 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 mainframecomputer/fullmoon-ios, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ios, llm, large-language-models, apple-silicon, offline, privacy, on-device-ai, swift, mlx, chat-app
  • mediumreadme#2
    Add a sentence clarifying Fullmoon's unique value proposition

    Why:

    COPY-PASTE FIX
    Unlike many LLM tools, Fullmoon is a dedicated, privacy-focused iOS application designed for seamless, on-device chat without relying on external servers or cloud APIs.

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 mainframecomputer/fullmoon-ios
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ollama/ollama
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ollama/ollama · recommended 1×
  2. LM Studio · recommended 1×
  3. janhq/jan · recommended 1×
  4. mlc-ai/mlc-llm · recommended 1×
  5. ggerganov/llama.cpp · recommended 1×
  • CATEGORY QUERY
    What tools allow running large language models locally and privately on Apple silicon devices?
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. LM Studio
    3. Jan (janhq/jan)
    4. MLC LLM (mlc-ai/mlc-llm)
    5. llama.cpp (ggerganov/llama.cpp)
    6. LocalAI (go-skynet/LocalAI)

    AI recommended 6 alternatives but never named mainframecomputer/fullmoon-ios. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an iOS application to chat with large language models completely offline and privately.
    you: not recommended
    AI recommended (in order):
    1. MLC Chat
    2. LocalAI
    3. Private LLM
    4. Open Interpreter
    5. LlamaGPT

    AI recommended 5 alternatives but never named mainframecomputer/fullmoon-ios. 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 mainframecomputer/fullmoon-ios?
    pass
    AI named mainframecomputer/fullmoon-ios explicitly

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

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