RRepoGEO

REPOGEO REPORT · LITE

itigges22/ATLAS

Default branch main · commit 194c4999 · scanned 5/15/2026, 1:12:21 PM

GitHub: 2,016 stars · 178 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 itigges22/ATLAS, 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 core value proposition in README's opening

    Why:

    CURRENT
    <h1 align="center">A.T.L.A.S.</h1>
<p align="center"><b>Adaptive Test-time Learning and Autonomous Specialization</b></p>

<p align="center">
  
  
  
</p>
    COPY-PASTE FIX
    <h1 align="center">A.T.L.A.S.</h1>
<p align="center"><b>Adaptive Test-time Learning and Autonomous Specialization</b></p>

<p align="center">
  <b>A self-hosted AI coding assistant that runs on your own GPU, designed for private code generation and bug fixing.</b>
</p>
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://github.com/itigges22/ATLAS

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 itigges22/ATLAS
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. LM Studio · recommended 1×
  3. Ollama · recommended 1×
  4. Phind-CodeLlama · recommended 1×
  5. Mistral-7B-Instruct-v0.2 · recommended 1×
  • CATEGORY QUERY
    Looking for an AI coding assistant that runs locally on my GPU for privacy.
    you: not recommended
    AI recommended (in order):
    1. Code Llama
    2. LM Studio
    3. Ollama
    4. Phind-CodeLlama
    5. Mistral-7B-Instruct-v0.2
    6. DeepSeek Coder
    7. Continue
    8. Tabby
    9. GitHub Copilot

    AI recommended 9 alternatives but never named itigges22/ATLAS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best self-hosted AI tools for code generation and bug fixing?
    you: not recommended
    AI recommended (in order):
    1. TabbyML (TabbyML/tabby)
    2. Code Llama
    3. Ollama (ollama/ollama)
    4. vLLM (vllm-project/vllm)
    5. LocalAI (mudler/LocalAI)
    6. StarCoder
    7. Hugging Face Transformers (huggingface/transformers)
    8. Hugging Face Text Generation Inference (TGI) (huggingface/text-generation-inference)
    9. FauxPilot (fauxpilot/fauxpilot)

    AI recommended 9 alternatives but never named itigges22/ATLAS. 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 itigges22/ATLAS?
    pass
    AI named itigges22/ATLAS explicitly

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

  • If a team adopts itigges22/ATLAS in production, what risks or prerequisites should they evaluate first?
    pass
    AI named itigges22/ATLAS 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 itigges22/ATLAS solve, and who is the primary audience?
    pass
    AI named itigges22/ATLAS explicitly

    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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itigges22/ATLAS — 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