RRepoGEO

REPOGEO REPORT · LITE

OpenRaiser/NanoResearch

Default branch main · commit 71443645 · scanned 6/18/2026, 1:02:17 PM

GitHub: 1,509 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
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 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 prominent English positioning statement at the top of the README

    Why:

    CURRENT
    The README's initial prominent text is in Chinese.
    COPY-PASTE FIX
    Insert a clear English sentence or two immediately after the main title, such as: 'NanoResearch is an end-to-end autonomous AI research engine that runs computational experiments, collects real results, and generates complete LaTeX papers with data-backed figures, ensuring all data, tables, and charts come from actual experiments, not LLM fabrication.'
  • highhomepage#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    Update the repository settings to include a relevant homepage URL, such as a project website or documentation link.
  • mediumreadme#3
    Add an English 'Why NanoResearch?' section to differentiate from workflow tools

    Why:

    CURRENT
    The README has a Chinese section '🆚 为何选择 NanoResearch'.
    COPY-PASTE FIX
    Create an English section, perhaps titled 'Why NanoResearch Stands Out' or 'NanoResearch vs. Traditional Automation', explicitly stating that it's an *autonomous AI agent* that executes experiments on GPU clusters, collects results, and writes data-backed papers, rather than just managing workflows or lab equipment.

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
opentrons/opentrons
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. opentrons/opentrons · recommended 1×
  2. Hamilton Robotics · recommended 1×
  3. LabVIEW · recommended 1×
  4. snakemake/snakemake · recommended 1×
  5. nextflow-io/nextflow · recommended 1×
  • CATEGORY QUERY
    How can I automate end-to-end scientific research, including running experiments and generating papers?
    you: not recommended
    AI recommended (in order):
    1. Opentrons (opentrons/opentrons)
    2. Hamilton Robotics
    3. LabVIEW
    4. Snakemake (snakemake/snakemake)
    5. Nextflow (nextflow-io/nextflow)
    6. Apache Airflow (apache/airflow)
    7. Jupyter Notebooks (jupyter/notebook)
    8. Pandas (pandas-dev/pandas)
    9. NumPy (numpy/numpy)
    10. SciPy (scipy/scipy)
    11. Matplotlib (matplotlib/matplotlib)
    12. Seaborn (mwaskom/seaborn)
    13. RStudio
    14. Tidyverse (tidyverse/tidyverse)
    15. Quarto (quarto-dev/quarto-cli)
    16. R Markdown (rstudio/rmarkdown)
    17. Pandoc (jgm/pandoc)
    18. LaTeX
    19. Overleaf
    20. BibTeX
    21. BibLaTeX
    22. GPT-4
    23. Claude 3
    24. GPyOpt (SheffieldML/GPyOpt)
    25. Ax (facebook/Ax)
    26. BoTorch (pytorch/botorch)
    27. JMP
    28. Minitab

    AI recommended 28 alternatives but never named OpenRaiser/NanoResearch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI assistant to generate research papers based on actual computational experiment results.
    you: not recommended
    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 named OpenRaiser/NanoResearch explicitly

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

Embed your GEO score

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MARKDOWN (README)
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<a href="https://repogeo.com/en/r/OpenRaiser/NanoResearch"><img src="https://repogeo.com/badge/OpenRaiser/NanoResearch.svg" alt="RepoGEO" /></a>
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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