RRepoGEO

REPOGEO REPORT · LITE

lyra81604/zhengxi-views

Default branch main · commit 775cbae7 · scanned 6/25/2026, 1:13:21 AM

GitHub: 989 stars · 123 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 lyra81604/zhengxi-views, 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
  • highreadme#1
    Add a direct, explicit category statement to the README's opening

    Why:

    COPY-PASTE FIX
    ### 可溯源 · 原文为据 · 接入全市场基金 · 跨 AI 平台

这是一个**可溯源的基金经理投研 Agent Skill**，专为**金融投资研究**设计，基于易方达基金经理郑希的全部公开观点和真实市场数据。
  • mediumlicense#2
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    ## 📄 许可证
本项目采用 [请在此处明确说明适用的许可证名称或条款，例如：自定义许可证，允许非商业用途，禁止修改和再分发] 授权。

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 lyra81604/zhengxi-views
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch · recommended 2×
  2. TensorFlow · recommended 2×
  3. Beautiful Soup · recommended 1×
  4. Scrapy · recommended 1×
  5. SEC EDGAR API · recommended 1×
  • CATEGORY QUERY
    How to build an AI that provides verifiable investment insights from specific fund managers?
    you: not recommended
    AI recommended (in order):
    1. Beautiful Soup
    2. Scrapy
    3. SEC EDGAR API
    4. FactSet
    5. Bloomberg Terminal
    6. spaCy
    7. Hugging Face Transformers
    8. NLTK
    9. Neo4j
    10. RDFox
    11. Stardog
    12. Elasticsearch
    13. scikit-learn
    14. PyTorch
    15. TensorFlow

    AI recommended 15 alternatives but never named lyra81604/zhengxi-views. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI solution to analyze market funds using a specific investment manager's documented strategy.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Alpha Vantage
    3. Quandl
    4. Yahoo Finance API
    5. Google Cloud AI Platform
    6. Vertex AI
    7. TensorFlow
    8. PyTorch
    9. Amazon Comprehend
    10. Amazon SageMaker
    11. Hugging Face Transformers Library
    12. Pandas
    13. NumPy
    14. IBM Watson Discovery
    15. IBM Watson Studio
    16. Alpaca API

    AI recommended 16 alternatives but never named lyra81604/zhengxi-views. 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 lyra81604/zhengxi-views?
    pass
    AI did not name lyra81604/zhengxi-views — 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 lyra81604/zhengxi-views in production, what risks or prerequisites should they evaluate first?
    pass
    AI named lyra81604/zhengxi-views 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 lyra81604/zhengxi-views solve, and who is the primary audience?
    pass
    AI named lyra81604/zhengxi-views explicitly

    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 lyra81604/zhengxi-views. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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lyra81604/zhengxi-views — 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