RRepoGEO

REPOGEO REPORT · LITE

PandaAI-Tech/panda_quantflow

Default branch main · commit 688b90e7 · scanned 6/16/2026, 4:16:58 PM

GitHub: 973 stars · 266 forks

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 PandaAI-Tech/panda_quantflow, 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 description to the About section

    Why:

    COPY-PASTE FIX
    An integrated, visual workflow platform for quantitative trading and machine learning, offering an end-to-end solution for quant researchers, students, and investors to design, backtest, and deploy strategies.
  • highreadme#2
    Add a concise, keyword-rich tagline immediately after the H1 in the README

    Why:

    CURRENT
    # PandaAI Quantflow 量化工作流平台
    COPY-PASTE FIX
    # PandaAI Quantflow 量化工作流平台

一个集成的**量化交易**与**机器学习**可视化工作流平台，赋能**算法交易**与**金融分析**。

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 PandaAI-Tech/panda_quantflow
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
QuantConnect/Lean
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. QuantConnect/Lean · recommended 1×
  2. Quantopian · recommended 1×
  3. quantopian/zipline · recommended 1×
  4. mementum/backtrader · recommended 1×
  5. alpacahq/alpaca-trade-api-python · recommended 1×
  • CATEGORY QUERY
    Looking for an integrated platform to design and backtest quantitative trading strategies using machine learning.
    you: not recommended
    AI recommended (in order):
    1. QuantConnect (Lean Engine) (QuantConnect/Lean)
    2. Quantopian
    3. Zipline (quantopian/zipline)
    4. Backtrader (mementum/backtrader)
    5. Alpaca (Alpaca.markets) (alpacahq/alpaca-trade-api-python)
    6. MetaTrader 5 (MetaQuotes/MetaTrader5)
    7. TradingView (Pine Script)

    AI recommended 7 alternatives but never named PandaAI-Tech/panda_quantflow. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good open-source tools for visual workflow orchestration in algorithmic trading and financial machine learning?
    you: not recommended
    AI recommended (in order):
    1. Apache Airflow
    2. Prefect
    3. Metaflow
    4. Kubeflow Pipelines
    5. Luigi
    6. Dagster

    AI recommended 6 alternatives but never named PandaAI-Tech/panda_quantflow. 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 PandaAI-Tech/panda_quantflow?
    pass
    AI did not name PandaAI-Tech/panda_quantflow — 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 PandaAI-Tech/panda_quantflow in production, what risks or prerequisites should they evaluate first?
    pass
    AI named PandaAI-Tech/panda_quantflow 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 PandaAI-Tech/panda_quantflow solve, and who is the primary audience?
    pass
    AI did not name PandaAI-Tech/panda_quantflow — 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?

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