RRepoGEO

REPOGEO REPORT · LITE

quant-sentiment-ai/claude-equity-research

Default branch main · commit 95130e5d · scanned 6/1/2026, 7:06:51 AM

GitHub: 546 stars · 64 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 quant-sentiment-ai/claude-equity-research, 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
    Explicitly state 'Claude Code Plugin' in the README's opening paragraph

    Why:

    CURRENT
    # Claude Equity Research

[](https://claude.ai/claude-code)

>🤖 Built entirely with Claude Code - demonstrating AI-native development workflows for professional-grade financial tools.

Professional equity research and trading analysis powered by Claude AI, delivering institutional-grade investment insights with Goldman Sachs-style formatting and comprehensive risk assessment.
    COPY-PASTE FIX
    # Claude Equity Research

This is a Claude Code Plugin for institutional-grade equity research.

>🤖 Built entirely with Claude Code - demonstrating AI-native development workflows for professional-grade financial tools.

It provides professional equity research and trading analysis powered by Claude AI, delivering institutional-grade investment insights with Goldman Sachs-style formatting and comprehensive risk assessment.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://claude.ai/claude-code
  • lowtopics#3
    Add 'ai-assistant' and 'llm-plugin' to repository topics

    Why:

    CURRENT
    ai-powered, claude-code, claude-code-plugin, equity-research, finance, financial-analysis, financial-analysis-ai, financial-analysis-tools, financial-analyst, investment-research, stock-analysis, stock-analyst, trading-analysis
    COPY-PASTE FIX
    ai-powered, claude-code, claude-code-plugin, equity-research, finance, financial-analysis, financial-analysis-ai, financial-analysis-tools, financial-analyst, investment-research, stock-analysis, stock-analyst, trading-analysis, ai-assistant, llm-plugin

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 quant-sentiment-ai/claude-equity-research
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Quandl (now Nasdaq Data Link)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Quandl (now Nasdaq Data Link) · recommended 1×
  2. Refinitiv Eikon/Workspace APIs · recommended 1×
  3. Bloomberg Terminal APIs · recommended 1×
  4. Alpha Vantage · recommended 1×
  5. ranaroussi/yfinance · recommended 1×
  • CATEGORY QUERY
    How can I use AI to generate institutional-grade stock analysis reports?
    you: not recommended
    AI recommended (in order):
    1. Quandl (now Nasdaq Data Link)
    2. Refinitiv Eikon/Workspace APIs
    3. Bloomberg Terminal APIs
    4. Alpha Vantage
    5. yfinance (ranaroussi/yfinance)
    6. pandas_datareader (pydata/pandas-datareader)
    7. Pandas (pandas-dev/pandas)
    8. NumPy (numpy/numpy)
    9. SciPy (scipy/scipy)
    10. Scikit-learn (scikit-learn/scikit-learn)
    11. PyTorch (pytorch/pytorch)
    12. TensorFlow (tensorflow/tensorflow)
    13. Zipline (quantopian/zipline)
    14. Hugging Face Transformers (huggingface/transformers)
    15. NLTK (Natural Language Toolkit) (nltk/nltk)
    16. SpaCy (explosion/spaCy)
    17. Jupyter Notebook (jupyter/notebook)
    18. JupyterLab (jupyterlab/jupyterlab)
    19. Matplotlib (matplotlib/matplotlib)
    20. Seaborn (mwaskom/seaborn)
    21. Plotly (plotly/plotly.py)
    22. Pandoc (jgm/pandoc)
    23. ReportLab (reportlab/reportlab)
    24. LaTeX
    25. pylatex (JelteF/PyLaTeX)
    26. Apache Airflow (apache/airflow)

    AI recommended 26 alternatives but never named quant-sentiment-ai/claude-equity-research. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI assistant plugins are available for comprehensive financial market intelligence?
    you: not recommended
    AI recommended (in order):
    1. Bloomberg Terminal
    2. Refinitiv Eikon
    3. S&P Capital IQ
    4. FactSet
    5. PitchBook
    6. Sentieo
    7. AlphaSense

    AI recommended 7 alternatives but never named quant-sentiment-ai/claude-equity-research. 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 quant-sentiment-ai/claude-equity-research?
    pass
    AI did not name quant-sentiment-ai/claude-equity-research — 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 quant-sentiment-ai/claude-equity-research in production, what risks or prerequisites should they evaluate first?
    pass
    AI named quant-sentiment-ai/claude-equity-research 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 quant-sentiment-ai/claude-equity-research solve, and who is the primary audience?
    pass
    AI did not name quant-sentiment-ai/claude-equity-research — 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 quant-sentiment-ai/claude-equity-research. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/quant-sentiment-ai/claude-equity-research.svg)](https://repogeo.com/en/r/quant-sentiment-ai/claude-equity-research)
HTML
<a href="https://repogeo.com/en/r/quant-sentiment-ai/claude-equity-research"><img src="https://repogeo.com/badge/quant-sentiment-ai/claude-equity-research.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

quant-sentiment-ai/claude-equity-research — 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