RRepoGEO

REPOGEO REPORT · LITE

OpenLAIR/dr-claw

Default branch main · commit 5358dd40 · scanned 6/11/2026, 7:21:54 PM

GitHub: 986 stars · 102 forks

AI VISIBILITY SCORE
22 /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
1 / 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 OpenLAIR/dr-claw, 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
    ai-research-assistant, ide, ai-ide, research-environment, llm-agents, full-stack, ai-doctors, developer-tools, ai-workspace
  • highreadme#2
    Strengthen the README's initial positioning as an AI-powered IDE/workspace

    Why:

    CURRENT
    Dr. Claw is a general-purpose AI research assistant designed to help researchers and builders execute end-to-end projects across different domains.
    COPY-PASTE FIX
    Dr. Claw is a comprehensive AI-powered IDE and full-stack research assistant, designed to help researchers and builders execute end-to-end projects across different domains. It provides an integrated workspace for developing, experimenting, and managing AI projects with intelligent assistant capabilities.
  • mediumreadme#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    Add a sentence under the 'License' section in the README: 'This project is released under a custom license. Please refer to the [LICENSE file](LICENSE) for full details on the terms and conditions.'

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 OpenLAIR/dr-claw
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
jupyterlab/jupyterlab
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. jupyterlab/jupyterlab · recommended 2×
  2. jupyterlab/jupyter-ai · recommended 2×
  3. GitHub Copilot · recommended 2×
  4. AI Assistant · recommended 2×
  5. TabNine · recommended 1×
  • CATEGORY QUERY
    What's a good AI-powered IDE for academic research and experimentation?
    you: not recommended
    AI recommended (in order):
    1. JupyterLab (jupyterlab/jupyterlab)
    2. Jupyter AI (jupyterlab/jupyter-ai)
    3. TabNine
    4. Kite
    5. Matplotlib (matplotlib/matplotlib)
    6. Seaborn (mwaskom/seaborn)
    7. Plotly (plotly/plotly.py)
    8. VS Code (microsoft/vscode)
    9. GitHub Copilot
    10. Python extension (microsoft/vscode-python)
    11. Jupyter extension (microsoft/vscode-jupyter)
    12. PyCharm Professional
    13. AI Assistant
    14. Google Colaboratory (Colab)
    15. DataSpell
    16. AI Assistant

    AI recommended 16 alternatives but never named OpenLAIR/dr-claw. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a full-stack AI research environment with intelligent assistant capabilities.
    you: not recommended
    AI recommended (in order):
    1. Jupyter AI (jupyterlab/jupyter-ai)
    2. JupyterLab (jupyterlab/jupyterlab)
    3. Google Colaboratory
    4. Gemini
    5. ChatGPT
    6. Visual Studio Code
    7. GitHub Copilot
    8. PyTorch (pytorch/pytorch)
    9. TensorFlow (tensorflow/tensorflow)
    10. Deepnote
    11. Databricks Lakehouse Platform
    12. Databricks Assistant
    13. Weights & Biases

    AI recommended 13 alternatives but never named OpenLAIR/dr-claw. 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 OpenLAIR/dr-claw?
    pass
    AI did not name OpenLAIR/dr-claw — 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?

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite