RRepoGEO

REPOGEO REPORT · LITE

wu-yc/LabClaw

Default branch main · commit df378022 · scanned 6/21/2026, 10:13:40 AM

GitHub: 1,027 stars · 154 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 wu-yc/LabClaw, 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
    ai-agents, scientific-research, lab-automation, biomedical-ai, skill-library, openclaw, agentic-workflows, drug-discovery, data-science, literature-research, scientific-visualization, xr
  • highreadme#2
    Reposition the README H1 to explicitly state its domain and function

    Why:

    CURRENT
    # LabClaw – Operating Layer for LabOS (Stanford-Princeton AI Co-Scientists)
    COPY-PASTE FIX
    # LabClaw: A Skill Library for AI Agents in Scientific Research & Lab Automation
  • highlicense#3
    Create a LICENSE file and specify the project's license

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the appropriate license text (e.g., MIT, Apache-2.0, or a custom license if applicable).

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 wu-yc/LabClaw
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. OpenAI API · recommended 1×
  4. Azure OpenAI Service · recommended 1×
  5. Python · recommended 1×
  • CATEGORY QUERY
    How to build AI agents for scientific research and lab automation workflows?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI API
    4. Azure OpenAI Service
    5. Python
    6. SciPy
    7. NumPy
    8. Pandas
    9. Robot Framework
    10. Prefect
    11. Apache Airflow
    12. Docker
    13. Kubernetes

    AI recommended 13 alternatives but never named wu-yc/LabClaw. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some libraries providing pre-built skills for biomedical AI agents?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. scispaCy
    3. MedCAT
    4. BioPython
    5. RDKit
    6. DeepChem
    7. OpenNRE
    8. Gleason

    AI recommended 8 alternatives but never named wu-yc/LabClaw. 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 wu-yc/LabClaw?
    pass
    AI named wu-yc/LabClaw explicitly

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

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

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

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wu-yc/LabClaw — 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