RRepoGEO

REPOGEO REPORT · LITE

brycewang-stanford/Auto-Empirical-Research-Skills

Default branch main · commit 4777fe32 · scanned 5/29/2026, 2:48:46 AM

GitHub: 1,310 stars · 205 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 brycewang-stanford/Auto-Empirical-Research-Skills, 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
    Reposition core value proposition in README's opening

    Why:

    COPY-PASTE FIX
    This project is an AI agent that **automatically runs the full empirical-research pipeline end to end** — from raw data cleaning → identification & estimation → robustness checks → tables, figures, and a submission-ready draft — with minimal human hand-holding.
  • hightopics#2
    Add more specific topics for AI research automation

    Why:

    CURRENT
    academic-research, agent-skills, ai-agent, awesome-list, communication, copaper, economics, education, empirical-research, international-relations, political-science, psychology, public-administration, reproducible-research, skills-library, social-science, sociology
    COPY-PASTE FIX
    academic-research, agent-skills, ai-agent, awesome-list, communication, copaper, economics, education, empirical-research, international-relations, political-science, psychology, public-administration, reproducible-research, skills-library, social-science, sociology, ai-research-automation, automated-research, social-science-ai, research-toolkit, empirical-social-science
  • mediumlicense#3
    Clarify existing license in README

    Why:

    COPY-PASTE FIX
    ## License 
 This project is licensed under the terms outlined in the [LICENSE file](LICENSE). Please refer to the file for full details on usage and distribution.

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 brycewang-stanford/Auto-Empirical-Research-Skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Qualtrics
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Qualtrics · recommended 1×
  2. SurveyMonkey · recommended 1×
  3. scrapy/scrapy · recommended 1×
  4. beautifulsoup/beautifulsoup4 · recommended 1×
  5. Google Sheets · recommended 1×
  • CATEGORY QUERY
    How can I automate the entire empirical research pipeline for social science studies?
    you: not recommended
    AI recommended (in order):
    1. Qualtrics
    2. SurveyMonkey
    3. Scrapy (scrapy/scrapy)
    4. Beautiful Soup (beautifulsoup/beautifulsoup4)
    5. Google Sheets
    6. Microsoft Excel
    7. Pandas (pandas-dev/pandas)
    8. R
    9. dplyr (tidyverse/dplyr)
    10. tidyr (tidyverse/tidyr)
    11. OpenRefine (OpenRefine/OpenRefine)
    12. tidyverse (tidyverse/tidyverse)
    13. ggplot2 (tidyverse/ggplot2)
    14. estimatr (DeclareDesign/estimatr)
    15. fixest (lrberge/fixest)
    16. lavaan (lavaan/lavaan)
    17. psych (psychometrics/psych)
    18. quanteda (quanteda/quanteda)
    19. Python
    20. SciPy (scipy/scipy)
    21. statsmodels (statsmodels/statsmodels)
    22. scikit-learn (scikit-learn/scikit-learn)
    23. Stata
    24. SPSS
    25. Matplotlib (matplotlib/matplotlib)
    26. Seaborn (mwaskom/seaborn)
    27. Tableau
    28. R Markdown (rstudio/rmarkdown)
    29. Jupyter Notebooks (jupyter/notebook)
    30. Quarto (quarto-dev/quarto-cli)
    31. LaTeX
    32. knitr (yihui/knitr)
    33. Sweave
    34. Pweave (mpastell/Pweave)
    35. Git (git/git)
    36. GitHub
    37. GitLab
    38. Makefiles

    AI recommended 38 alternatives but never named brycewang-stanford/Auto-Empirical-Research-Skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI agent skill library to enhance reproducible empirical social science research.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. OpenAI Assistants API
    6. Mirasol

    AI recommended 6 alternatives but never named brycewang-stanford/Auto-Empirical-Research-Skills. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 brycewang-stanford/Auto-Empirical-Research-Skills?
    pass
    AI named brycewang-stanford/Auto-Empirical-Research-Skills explicitly

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

  • If a team adopts brycewang-stanford/Auto-Empirical-Research-Skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named brycewang-stanford/Auto-Empirical-Research-Skills 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 brycewang-stanford/Auto-Empirical-Research-Skills solve, and who is the primary audience?
    pass
    AI did not name brycewang-stanford/Auto-Empirical-Research-Skills — 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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite