RRepoGEO

REPOGEO REPORT · LITE

ammaarreshi/gemma-chat

Default branch main · commit 6050eacf · scanned 5/7/2026, 2:02:52 PM

GitHub: 1,045 stars · 177 forks

AI VISIBILITY SCORE
28 /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
2 / 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 ammaarreshi/gemma-chat, 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
  • highreadme#1
    Reposition README H1 and intro to emphasize 'offline AI coding agent' and 'Electron app'

    Why:

    CURRENT
    <h1 align="center">Gemma Chat</h1>

<p align="center">
  <strong>Vibe code without the internet.</strong><br/>
  A local coding agent powered by Google's Gemma 4 — runs entirely on your Mac via Apple's MLX framework.<br/>
  No API keys. No cloud. No Wi-Fi required.
</p>
    COPY-PASTE FIX
    <h1 align="center">Gemma Chat: Offline AI Coding Agent for Apple Silicon</h1>

<p align="center">
  <strong>Vibe code without the internet.</strong><br/>
  An open-source Electron app that runs Google's Gemma 4 as a local coding agent, entirely on your Mac via Apple's MLX framework.<br/>
  No API keys. No cloud. No Wi-Fi required.
</p>
  • mediumabout#2
    Update the 'About' description to clarify the app type and primary function

    Why:

    CURRENT
    Local AI chat + coding agent for Apple Silicon, powered by Gemma 4 via MLX / Supports Ollama
    COPY-PASTE FIX
    Offline AI coding agent for Apple Silicon, powered by Gemma 4 via MLX. An Electron app for local code generation and chat, supporting Ollama.

Category GEO backends resolved for this scan: google/gemini-2.0-flash-001, deepseek/deepseek-chat

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.0-flash-001. 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 ammaarreshi/gemma-chat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Continue.dev
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Continue.dev · recommended 2×
  2. Ollama · recommended 2×
  3. LM Studio · recommended 2×
  4. Codeium · recommended 1×
  5. Tabnine · recommended 1×
  • CATEGORY QUERY
    Looking for an offline AI coding assistant that runs entirely on my Mac.
    you: not recommended
    AI recommended (in order):
    1. Continue.dev
    2. Ollama
    3. LM Studio
    4. Codeium
    5. Tabnine

    AI recommended 5 alternatives but never named ammaarreshi/gemma-chat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I generate code locally using an AI model on my Apple laptop?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Continue.dev
    4. PrivateAI
    5. MLC LLM
    6. GPT4All
    7. PyTorch/TensorFlow

    AI recommended 7 alternatives but never named ammaarreshi/gemma-chat. 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 ammaarreshi/gemma-chat?
    pass
    AI named ammaarreshi/gemma-chat explicitly

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

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

Embed your GEO score

Drop this badge into the README of ammaarreshi/gemma-chat. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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