RRepoGEO

REPOGEO REPORT · LITE

juanjuandog/FinSight-AI

Default branch master · commit 3da99f69 · scanned 6/6/2026, 8:42:52 PM

GitHub: 1,010 stars · 59 forks

AI VISIBILITY SCORE
35 /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
3 / 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 juanjuandog/FinSight-AI, 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
    Clarify FinSight AI's role as a complete financial research agent in the README intro

    Why:

    CURRENT
    FinSight turns filings, financial reports, research notes, market data, and company events into source-grounded answers and versioned AI research reports. The project is intentionally backend-heavy: it shows how to build the infrastructure around an AI agent, not just how to call a model.
    COPY-PASTE FIX
    FinSight turns filings, financial reports, research notes, market data, and company events into source-grounded answers and versioned AI research reports. It offers a complete, production-ready AI equity research agent, distinct from generic LLM frameworks or raw data APIs, focusing on resilient workflow orchestration and evidence-grounded reporting.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/juanjuandog/FinSight-AI
  • mediumtopics#3
    Add more specific financial and application-oriented topics

    Why:

    CURRENT
    ai-agent, financial-research, llm-evaluation, pgvector, postgresql, rabbitmq, rag, redis, spring-boot, workflow-orchestration
    COPY-PASTE FIX
    ai-agent, financial-research, equity-research, fintech, llm-evaluation, pgvector, postgresql, rabbitmq, rag, redis, spring-boot, workflow-orchestration

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 juanjuandog/FinSight-AI
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. Quandl (now Nasdaq Data Link) · recommended 1×
  3. Alpha Vantage · recommended 1×
  4. Bloomberg Terminal / Refinitiv Eikon · recommended 1×
  5. Beautiful Soup · recommended 1×
  • CATEGORY QUERY
    How to build an AI agent for financial analysis with robust data sourcing and reporting?
    you: not recommended
    AI recommended (in order):
    1. Quandl (now Nasdaq Data Link)
    2. Alpha Vantage
    3. Bloomberg Terminal / Refinitiv Eikon
    4. Beautiful Soup
    5. Scrapy
    6. SEC EDGAR API
    7. LangChain
    8. LlamaIndex (formerly GPT Index)
    9. OpenAI API
    10. Hugging Face Transformers
    11. 🤗 Accelerate
    12. Pandas
    13. NumPy
    14. Streamlit
    15. Plotly
    16. Dash
    17. Jupyter Notebooks
    18. JupyterLab

    AI recommended 18 alternatives but never named juanjuandog/FinSight-AI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source framework for orchestrating AI research workflows with RAG and evaluation.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack (deepset/Haystack)
    4. MLflow
    5. Weights & Biases
    6. Ragas
    7. Airflow

    AI recommended 7 alternatives but never named juanjuandog/FinSight-AI. 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 juanjuandog/FinSight-AI?
    pass
    AI named juanjuandog/FinSight-AI explicitly

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

  • If a team adopts juanjuandog/FinSight-AI in production, what risks or prerequisites should they evaluate first?
    pass
    AI named juanjuandog/FinSight-AI 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 juanjuandog/FinSight-AI solve, and who is the primary audience?
    pass
    AI named juanjuandog/FinSight-AI explicitly

    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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juanjuandog/FinSight-AI — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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