RRepoGEO

REPOGEO REPORT · LITE

ammaarreshi/gemma-chat

Default branch main · commit 6050eacf · scanned 6/7/2026, 10:57:47 PM

GitHub: 1,380 stars · 248 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)

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

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

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

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

    Why:

    COPY-PASTE FIX
    gemma, llm, local-llm, apple-silicon, mlx, coding-agent, offline-ai, electron-app, code-generation, macos
  • highreadme#2
    Clarify the README's opening statement for AI categorization

    Why:

    CURRENT
    A local coding agent powered by Google's Gemma 4 — runs entirely on your Mac via Apple's MLX framework.
    COPY-PASTE FIX
    A local, offline AI coding agent for Apple Silicon, powered by Google's Gemma 4 via MLX. Generate code directly on your Mac without internet or API keys.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [Insert project website or relevant link here, e.g., a GitHub Pages site, a dedicated project page, or even the repo URL itself if no other site exists]

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 ammaarreshi/gemma-chat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Code Llama
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Code Llama · recommended 2×
  2. Ollama · recommended 2×
  3. LM Studio · recommended 2×
  4. Continue · recommended 1×
  5. LocalAI · recommended 1×
  • CATEGORY QUERY
    Looking for an offline AI coding assistant that runs locally on my Mac.
    you: not recommended
    AI recommended (in order):
    1. Code Llama
    2. Ollama
    3. LM Studio
    4. Continue
    5. LocalAI
    6. Tabby
    7. PrivateGPT

    AI recommended 7 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 on my machine without needing cloud APIs or internet?
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. Code Llama
    3. Llama 3
    4. Mistral
    5. LM Studio
    6. GPT4All
    7. Orca
    8. Hugging Face `transformers` library
    9. StarCoder
    10. DeepSeek-Coder
    11. KoboldCpp
    12. llama.cpp

    AI recommended 12 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?

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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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HTML
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ammaarreshi/gemma-chat — 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