RRepoGEO

REPOGEO REPORT · LITE

mainframecomputer/fullmoon-ios

Default branch main · commit cbc3c820 · scanned 6/27/2026, 1:17:39 PM

GitHub: 2,260 stars · 221 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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

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 sentence to emphasize 'app' and 'local LLMs'

    Why:

    CURRENT
    fullmoon is an iOS app to chat with local large language models that’s optimized for Apple silicon and works on iPhone, iPad, and Mac.
    COPY-PASTE FIX
    fullmoon is a native iOS, iPadOS, and macOS application that lets you chat with private, local large language models (LLMs) directly on your Apple Silicon device.
  • hightopics#2
    Add specific topics for local LLM apps on Apple platforms

    Why:

    COPY-PASTE FIX
    ios, ipad, macos, apple-silicon, llm, local-llm, private-llm, mlx, machine-learning, chat-app
  • mediumreadme#3
    Add a sentence to README about privacy and local-first approach

    Why:

    COPY-PASTE FIX
    Unlike cloud-based solutions, fullmoon ensures your conversations remain entirely private and on-device, with all chat history saved locally.

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
LM Studio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 2×
  2. MLC Chat · recommended 1×
  3. Core ML · recommended 1×
  4. LocalGPT · recommended 1×
  5. PrivateGPT · recommended 1×
  • CATEGORY QUERY
    Looking for an iOS application to interact with local LLMs without cloud dependency.
    you: not recommended
    AI recommended (in order):
    1. MLC Chat
    2. Core ML
    3. LocalGPT
    4. PrivateGPT
    5. LM Studio

    AI recommended 5 alternatives but never named mainframecomputer/fullmoon-ios. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable running large language models directly on Apple Silicon for personal use?
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. LM Studio
    3. Jan
    4. LocalAI
    5. Llama.cpp
    6. GPT4All
    7. Hugging Face `transformers` library
    8. bitsandbytes
    9. Apple MLX

    AI recommended 9 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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mainframecomputer/fullmoon-ios — 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