RRepoGEO

REPOGEO REPORT · LITE

Future-House/robin

Default branch main · commit 4a5cce31 · scanned 6/8/2026, 8:32:47 PM

GitHub: 517 stars · 82 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 Future-House/robin, 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
  • highreadme#1
    Strengthen README's opening paragraph to clarify purpose

    Why:

    CURRENT
    # Robin: A multi-agent system for automating scientific discovery
    
    See our blog or arXiv preprint for more info.
    COPY-PASTE FIX
    # Robin: A multi-agent system for automating scientific discovery
    
    Robin is a Python framework designed for researchers to build, deploy, and manage AI agents that automate the entire scientific discovery process, from generating hypotheses and designing experiments to analyzing data. It integrates with platforms like Edison Scientific to accelerate research workflows.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    multi-agent-system, scientific-discovery, ai-agents, hypothesis-generation, experiment-design, data-analysis, python, research-framework, automation
  • mediumreadme#3
    Add a "Key Features" section to the README

    Why:

    COPY-PASTE FIX
    ## Key Features
    
    - **Automated Scientific Discovery:** Orchestrate AI agents to generate hypotheses, design experiments, and analyze results.
    - **Multi-Agent System Framework:** Build and manage complex interactions between specialized AI agents.
    - **Python-based:** Leverage a familiar ecosystem for research and development.
    - **Integration with Edison Platform:** Seamlessly connect with Edison Scientific for advanced data analysis and agent capabilities.

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 Future-House/robin
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. LangChain · recommended 1×
  3. LlamaIndex · recommended 1×
  4. ChemAI · recommended 1×
  5. AlphaFold · recommended 1×
  • CATEGORY QUERY
    How can I automate scientific hypothesis generation and experiment design using AI agents?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. LangChain
    3. LlamaIndex
    4. ChemAI
    5. AlphaFold
    6. Google Cloud AutoML
    7. H2O.ai
    8. DataRobot
    9. Stable Baselines3
    10. Ray RLib

    AI recommended 10 alternatives but never named Future-House/robin. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python framework to build multi-agent systems for research and data analysis.
    you: not recommended
    AI recommended (in order):
    1. Mesa
    2. SPADE
    3. RLlib
    4. PettingZoo
    5. Pyro
    6. SimPy
    7. AI-Starter

    AI recommended 7 alternatives but never named Future-House/robin. 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 Future-House/robin?
    pass
    AI named Future-House/robin explicitly

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

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

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

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Future-House/robin — 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