RRepoGEO

REPOGEO REPORT · LITE

tekaratzas/RustGPT

Default branch main · commit 772c4693 · scanned 5/20/2026, 9:53:05 PM

GitHub: 3,119 stars · 264 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)

2 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 tekaratzas/RustGPT, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    rust, llm, transformer, machine-learning, deep-learning, from-scratch, educational, ai, nlp
  • highabout#2
    Update the repository description to emphasize its 'from-scratch' and educational nature

    Why:

    CURRENT
    An transformer based LLM. Written completely in Rust
    COPY-PASTE FIX
    A from-scratch, educational transformer-based LLM implementation in pure Rust, built without external ML frameworks.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/tekaratzas/RustGPT

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 tekaratzas/RustGPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Burn
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Burn · recommended 1×
  2. Candle · recommended 1×
  3. dfdx · recommended 1×
  4. tch-rs · recommended 1×
  5. ndarray · recommended 1×
  • CATEGORY QUERY
    What are options for developing a custom LLM entirely in Rust?
    you: not recommended
    AI recommended (in order):
    1. Burn
    2. Candle
    3. dfdx
    4. tch-rs
    5. ndarray
    6. wgpu
    7. vulkano

    AI recommended 7 alternatives but never named tekaratzas/RustGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking projects demonstrating large language model implementation without external ML frameworks.
    you: not recommended
    AI recommended (in order):
    1. Python Standard Library
    2. numpy

    AI recommended 2 alternatives but never named tekaratzas/RustGPT. 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 tekaratzas/RustGPT?
    pass
    AI named tekaratzas/RustGPT explicitly

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

  • If a team adopts tekaratzas/RustGPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named tekaratzas/RustGPT 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 tekaratzas/RustGPT solve, and who is the primary audience?
    pass
    AI named tekaratzas/RustGPT 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 tekaratzas/RustGPT. 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/tekaratzas/RustGPT.svg)](https://repogeo.com/en/r/tekaratzas/RustGPT)
HTML
<a href="https://repogeo.com/en/r/tekaratzas/RustGPT"><img src="https://repogeo.com/badge/tekaratzas/RustGPT.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

tekaratzas/RustGPT — 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