RRepoGEO

REPOGEO REPORT · LITE

skyllwt/AutoSci

Default branch main · commit 0575d51c · scanned 6/4/2026, 5:43:06 AM

GitHub: 1,070 stars · 146 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 skyllwt/AutoSci, 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
    Add a clear positioning statement to the README's opening

    Why:

    CURRENT
    The current README H1 is 'AutoSci' with the tagline: '**Read, think, experiment, write, evolve — the AI research agent with memory that compounds across every project.**'
    COPY-PASTE FIX
    After the tagline, add a sentence like: "Inspired by Karpathy's LLM-Wiki vision, AutoSci is a wiki-centric, full-lifecycle AI research platform powered by Claude Code, designed to automate and accelerate scientific discovery."
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://autosci.ai

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 skyllwt/AutoSci
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MLflow
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. MLflow · recommended 1×
  2. Weights & Biases (W&B) · recommended 1×
  3. DVC (Data Version Control) · recommended 1×
  4. Neptune.ai · recommended 1×
  5. Comet ML · recommended 1×
  • CATEGORY QUERY
    What tools help manage the entire lifecycle of AI research projects efficiently?
    you: not recommended
    AI recommended (in order):
    1. MLflow
    2. Weights & Biases (W&B)
    3. DVC (Data Version Control)
    4. Neptune.ai
    5. Comet ML
    6. Kubeflow
    7. ClearML

    AI recommended 7 alternatives but never named skyllwt/AutoSci. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI agent platform that facilitates scientific discovery with persistent memory.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. PostgreSQL
    3. MongoDB
    4. Pinecone
    5. Weaviate
    6. LangChain
    7. LlamaIndex
    8. AutoGPT
    9. BabyAGI
    10. Hugging Face Agents
    11. Microsoft Semantic Kernel

    AI recommended 11 alternatives but never named skyllwt/AutoSci. 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 skyllwt/AutoSci?
    pass
    AI named skyllwt/AutoSci explicitly

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

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

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

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skyllwt/AutoSci — 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