RRepoGEO

REPOGEO REPORT · LITE

vinay-gatech/stocks-insights-ai-agent

Default branch main · commit 375efb40 · scanned 6/12/2026, 3:13:08 PM

GitHub: 747 stars · 109 forks

AI VISIBILITY SCORE
28 /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
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 vinay-gatech/stocks-insights-ai-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

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

OVERALL DIRECTION
  • hightopics#1
    Add specific topics to improve category visibility

    Why:

    COPY-PASTE FIX
    ["ai-agent", "llm", "langchain", "langgraph", "stock-analysis", "financial-ai", "rag", "chromadb", "full-stack"]
  • highreadme#2
    Reposition README H1 and opening paragraph to emphasize AI agent

    Why:

    CURRENT
    # Stock Data Insights Application
This project demonstrates the use of Agentic Retrieval-Augmented Generation (RAG) workflows to extract insights from news and financial data pertaining to specific companies and the broader stock market. It leverages Large Language Models (LLMs), ChromaDB as a vector database, LangChain, LangChain Expression Language (LCEL), and LangGraph to provide comprehensive analyses.
    COPY-PASTE FIX
    # Stock Insights AI Agent: Full-Stack Application for LLM-Powered Stock Data & News Analysis
This project is a full-stack application demonstrating an AI agent that leverages Large Language Models (LLMs), LangChain, and LangGraph to retrieve and analyze stock data and news, providing comprehensive insights into company performance and market trends.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    (Add the URL of a live demo, project page, or relevant documentation if available. If not, consider setting up a GitHub Pages site.)

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 vinay-gatech/stocks-insights-ai-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ranaroussi/yfinance
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ranaroussi/yfinance · recommended 2×
  2. Python · recommended 1×
  3. pandas-dev/pandas · recommended 1×
  4. numpy/numpy · recommended 1×
  5. scikit-learn/scikit-learn · recommended 1×
  • CATEGORY QUERY
    How to create an AI agent for automated stock market data and news analysis?
    you: not recommended
    AI recommended (in order):
    1. Python
    2. Pandas (pandas-dev/pandas)
    3. NumPy (numpy/numpy)
    4. Scikit-learn (scikit-learn/scikit-learn)
    5. NLTK (nltk/nltk)
    6. SpaCy (explosion/spaCy)
    7. TensorFlow (tensorflow/tensorflow)
    8. PyTorch (pytorch/pytorch)
    9. Keras (keras-team/keras)
    10. Beautiful Soup (crummy/BeautifulSoup)
    11. Scrapy (scrapy/scrapy)
    12. Alpha Vantage
    13. Quandl (Nasdaq Data Link)
    14. yfinance (ranaroussi/yfinance)
    15. RabbitMQ (rabbitmq/rabbitmq-server)
    16. Apache Kafka (apache/kafka)
    17. PostgreSQL
    18. MongoDB (mongodb/mongo)
    19. Jupyter Notebooks (jupyter/notebook)
    20. VS Code (microsoft/vscode)

    AI recommended 20 alternatives but never named vinay-gatech/stocks-insights-ai-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for retrieving stock data, news, and visualizing historical performance trends?
    you: not recommended
    AI recommended (in order):
    1. Yahoo Finance API (ranaroussi/yfinance)

    AI recommended 1 alternative but never named vinay-gatech/stocks-insights-ai-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
    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 vinay-gatech/stocks-insights-ai-agent?
    pass
    AI named vinay-gatech/stocks-insights-ai-agent explicitly

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

  • If a team adopts vinay-gatech/stocks-insights-ai-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named vinay-gatech/stocks-insights-ai-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 vinay-gatech/stocks-insights-ai-agent solve, and who is the primary audience?
    pass
    AI did not name vinay-gatech/stocks-insights-ai-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?

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