RRepoGEO

REPOGEO REPORT · LITE

24mlight/A_Share_investment_Agent

Default branch main · commit d65f6184 · scanned 6/26/2026, 6:12:58 AM

GitHub: 2,431 stars · 615 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 24mlight/A_Share_investment_Agent, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    基于多智能体协同和LLM的A股投资系统概念验证项目，提供多角度市场解读和投资建议。
  • mediumreadme#2
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    本项目包含一个自定义的许可文件。请查阅仓库根目录下的 `LICENSE` 文件以了解具体的使用条款和条件。

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 24mlight/A_Share_investment_Agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. OpenAI API · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. Pandas · recommended 1×
  • CATEGORY QUERY
    How can I use AI and LLMs to create a multi-agent investment analysis system?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI API
    4. Hugging Face Transformers
    5. Pandas
    6. NumPy
    7. yfinance
    8. Alpha Vantage API
    9. Quandl
    10. Scikit-learn
    11. TensorFlow
    12. PyTorch

    AI recommended 12 alternatives but never named 24mlight/A_Share_investment_Agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help simulate bull and bear market perspectives for investment decision support?
    you: not recommended
    AI recommended (in order):
    1. Matlab
    2. Python
    3. NumPy (numpy/numpy)
    4. Pandas (pandas-dev/pandas)
    5. SciPy (scipy/scipy)
    6. Matplotlib (matplotlib/matplotlib)
    7. Pyfolio (quantopian/pyfolio)
    8. Backtrader (mementum/backtrader)
    9. R
    10. quantmod (quantmod/quantmod)
    11. PerformanceAnalytics (braverock/PerformanceAnalytics)
    12. tseries
    13. forecast (robjhyndman/forecast)
    14. fPortfolio
    15. Palisade @RISK
    16. Analytica
    17. Vanguard Personal Advisor Services
    18. Bloomberg Terminal

    AI recommended 18 alternatives but never named 24mlight/A_Share_investment_Agent. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 24mlight/A_Share_investment_Agent?
    pass
    AI did not name 24mlight/A_Share_investment_Agent — 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 24mlight/A_Share_investment_Agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 24mlight/A_Share_investment_Agent 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 24mlight/A_Share_investment_Agent solve, and who is the primary audience?
    pass
    AI did not name 24mlight/A_Share_investment_Agent — 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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MARKDOWN (README)
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24mlight/A_Share_investment_Agent — 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