RRepoGEO

REPOGEO REPORT · LITE

vixhal-baraiya/microgpt-c

Default branch main · commit f406c611 · scanned 6/9/2026, 5:48:39 AM

GitHub: 571 stars · 86 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 vixhal-baraiya/microgpt-c, 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
    Reposition the README's opening sentence to emphasize educational clarity and minimalism

    Why:

    CURRENT
    The most atomic way to train and inference a GPT in pure, dependency-free C.
    COPY-PASTE FIX
    A minimalist, pure C implementation of a GPT-like model, designed for educational clarity and understanding the core mechanics of transformers from scratch, without dependencies.
  • mediumtopics#2
    Add more specific topics to highlight 'from scratch', 'educational', and 'minimalist' aspects

    Why:

    CURRENT
    artificial-intelligence, c, c-programming, deep-learning, gpt, llm, machine-learning, microgpt
    COPY-PASTE FIX
    artificial-intelligence, c, c-programming, deep-learning, gpt, llm, machine-learning, microgpt, from-scratch, transformer-architecture, educational, embedded-systems, minimalist
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/vixhal-baraiya/microgpt-c#readme

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 vixhal-baraiya/microgpt-c
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
BLAS
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. BLAS · recommended 2×
  2. LAPACK · recommended 2×
  3. PyTorch · recommended 1×
  4. TensorFlow · recommended 1×
  5. OpenBLAS · recommended 1×
  • CATEGORY QUERY
    How to implement a simple GPT model from scratch using only standard C libraries?
    you: not recommended
    AI recommended (in order):
    1. BLAS
    2. LAPACK
    3. PyTorch
    4. TensorFlow
    5. OpenBLAS
    6. Intel MKL
    7. cuBLAS

    AI recommended 7 alternatives but never named vixhal-baraiya/microgpt-c. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are options for developing small language models directly in C without external frameworks?
    you: not recommended
    AI recommended (in order):
    1. TinyGrad (tinygrad/tinygrad)
    2. llama.cpp (ggerganov/llama.cpp)
    3. Micrograd (karpathy/micrograd)
    4. BLAS
    5. OpenBLAS (OpenMathLib/OpenBLAS)
    6. LAPACK

    AI recommended 6 alternatives but never named vixhal-baraiya/microgpt-c. 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 vixhal-baraiya/microgpt-c?
    pass
    AI named vixhal-baraiya/microgpt-c explicitly

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

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

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vixhal-baraiya/microgpt-c — 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