RRepoGEO

REPOGEO REPORT · LITE

OpenRaiser/NanoResearch

Default branch main · commit 9ac546d4 · scanned 5/19/2026, 12:57:04 PM

GitHub: 1,170 stars · 100 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
28 /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
2 / 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 OpenRaiser/NanoResearch, 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
    Add a clear, concise English H1 and tagline to the README

    Why:

    CURRENT
    # NanoResearch
**端到端自主 AI 科研引擎 — 从研究想法到完整论文，全程自动化**
    COPY-PASTE FIX
    # NanoResearch: The Autonomous AI Research Assistant
**An end-to-end autonomous AI scientific research engine — from idea to full, data-backed paper, fully automated.**
  • mediumtopics#2
    Add more specific topics related to experiment execution and paper generation

    Why:

    CURRENT
    agent-skills, agents, ai, ai-agents, ai-scientist, artificial-intelligence, autonomous-agents, autonomous-research, autoresearch, claude-code, claude-skills, nanobot, openclaw
    COPY-PASTE FIX
    agent-skills, agents, ai, ai-agents, ai-scientist, artificial-intelligence, autonomous-agents, autonomous-research, autoresearch, claude-code, claude-skills, nanobot, openclaw, scientific-automation, experiment-automation, paper-generation, research-automation
  • lowhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    https://github.com/OpenRaiser/NanoResearch

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 OpenRaiser/NanoResearch
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Elicit
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Elicit · recommended 1×
  2. Semantic Scholar · recommended 1×
  3. Connected Papers · recommended 1×
  4. openai/gym · recommended 1×
  5. DLR-RM/stable-baselines3 · recommended 1×
  • CATEGORY QUERY
    How can I automate the entire scientific research process from idea to published paper?
    you: not recommended
    AI recommended (in order):
    1. Elicit
    2. Semantic Scholar
    3. Connected Papers
    4. OpenAI Gym (openai/gym)
    5. Stable Baselines3 (DLR-RM/stable-baselines3)
    6. AnyLogic
    7. Arena Simulation Software
    8. Faker (joke2k/faker)
    9. SDV - Synthetic Data Vault (sdv-dev/SDV)
    10. Jupyter Notebook (jupyter/notebook)
    11. JupyterLab (jupyterlab/jupyterlab)
    12. Pandas (pandas-dev/pandas)
    13. NumPy (numpy/numpy)
    14. SciPy (scipy/scipy)
    15. Scikit-learn (scikit-learn/scikit-learn)
    16. Matplotlib (matplotlib/matplotlib)
    17. Seaborn (mwaskom/seaborn)
    18. RStudio
    19. Tidyverse (tidyverse/tidyverse)
    20. ggplot2 (tidyverse/ggplot2)
    21. caret (topepo/caret)
    22. KNIME Analytics Platform
    23. Overleaf
    24. Grammarly
    25. LanguageTool (languagetool-org/languagetool)
    26. ChatGPT
    27. GPT-4
    28. Zotero (zotero/zotero)
    29. Mendeley
    30. EndNote

    AI recommended 30 alternatives but never named OpenRaiser/NanoResearch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI agent that runs experiments and writes data-backed research papers, not just text.
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. Anthropic Claude 3 Opus
    3. Jupyter Notebooks
    4. Pandas
    5. NumPy
    6. SciPy
    7. Scikit-learn
    8. Matplotlib
    9. Seaborn
    10. Wolfram Alpha API
    11. Mathematica
    12. AutoGPT
    13. BabyAGI
    14. Google Scholar APIs
    15. Semantic Scholar APIs

    AI recommended 15 alternatives but never named OpenRaiser/NanoResearch. 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 OpenRaiser/NanoResearch?
    pass
    AI named OpenRaiser/NanoResearch explicitly

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

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

Embed your GEO score

Drop this badge into the README of OpenRaiser/NanoResearch. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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OpenRaiser/NanoResearch — 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