RRepoGEO

REPOGEO REPORT · LITE

maxbbraun/llama4micro

Default branch main · commit 822e56ba · scanned 6/5/2026, 9:17:32 PM

GitHub: 553 stars · 37 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 maxbbraun/llama4micro, 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
    llm, llama, tinyllamas, microcontroller, embedded, tinyml, coral-dev-board-micro, freertos
  • mediumreadme#2
    Refine README's opening sentence for clearer positioning

    Why:

    CURRENT
    A "large" language model running on a microcontroller.
    COPY-PASTE FIX
    Run Llama 2 language models directly on microcontrollers like the Coral Dev Board Micro, pushing the boundaries of TinyML for LLMs.
  • lowhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/maxbbraun/llama4micro

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 maxbbraun/llama4micro
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Edge Impulse
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Edge Impulse · recommended 2×
  2. TensorFlow Lite Micro · recommended 1×
  3. ONNX Runtime · recommended 1×
  4. ONNX Runtime Mobile · recommended 1×
  5. ONNX.js · recommended 1×
  • CATEGORY QUERY
    How can I run a language model on a very low-power embedded system?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Lite Micro
    2. ONNX Runtime
    3. ONNX Runtime Mobile
    4. ONNX.js
    5. PyTorch Mobile
    6. TorchScript
    7. Edge Impulse
    8. OpenVINO Toolkit
    9. Arm NN

    AI recommended 9 alternatives but never named maxbbraun/llama4micro. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What options exist for deploying an AI language model on a microcontroller with limited RAM?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Lite for Microcontrollers
    2. MicroTVM
    3. Edge Impulse
    4. CMSIS-NN
    5. ONNX Runtime for Microcontrollers

    AI recommended 5 alternatives but never named maxbbraun/llama4micro. 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 maxbbraun/llama4micro?
    pass
    AI named maxbbraun/llama4micro explicitly

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

  • If a team adopts maxbbraun/llama4micro in production, what risks or prerequisites should they evaluate first?
    pass
    AI named maxbbraun/llama4micro 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 maxbbraun/llama4micro solve, and who is the primary audience?
    pass
    AI named maxbbraun/llama4micro explicitly

    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 maxbbraun/llama4micro. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/maxbbraun/llama4micro.svg)](https://repogeo.com/en/r/maxbbraun/llama4micro)
HTML
<a href="https://repogeo.com/en/r/maxbbraun/llama4micro"><img src="https://repogeo.com/badge/maxbbraun/llama4micro.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

maxbbraun/llama4micro — 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