RRepoGEO

REPOGEO REPORT · LITE

OpenBB-finance/experimental-openbb-platform-agent

Default branch main · commit 1cfee33d · scanned 6/30/2026, 4:52:04 PM

GitHub: 1,336 stars · 167 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)

2 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 OpenBB-finance/experimental-openbb-platform-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
  • highreadme#1
    Strengthen the README's opening statement to emphasize specialization

    Why:

    CURRENT
    # OpenBB LLM Agents
Work-in-progress.

This is a project that leverages LLMs and OpenBB Platform to create financial
analyst agents that can autonomously perform financial research, and answer
questions using up-to-date data. This is possible as a result of agents
utilizing function calling to interact with the OpenBB Platform.
    COPY-PASTE FIX
    # OpenBB LLM Agents: Autonomous Financial Research
Work-in-progress.

This project introduces specialized financial analyst agents, powered by LLMs and tightly integrated with the OpenBB Platform. These agents are designed to autonomously perform in-depth financial research and answer complex questions using up-to-date, real-time data, leveraging OpenBB Platform's extensive function calling capabilities.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT, Apache-2.0, or a license appropriate for OpenBB projects) in the repository root.

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 OpenBB-finance/experimental-openbb-platform-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. OpenAI GPT-4 · recommended 1×
  3. Anthropic Claude 3 Opus · recommended 1×
  4. Pandas · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    How to automate financial research and analysis using AI agents with real-time data?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenAI GPT-4
    3. Anthropic Claude 3 Opus
    4. Pandas
    5. LlamaIndex
    6. Pinecone
    7. ChromaDB
    8. Weaviate
    9. QuantConnect
    10. scikit-learn
    11. TensorFlow
    12. PyTorch
    13. Alpaca API
    14. NumPy
    15. Bloomberg Terminal API
    16. Refinitiv Eikon API
    17. IEX Cloud
    18. Finnhub
    19. PostgreSQL
    20. MongoDB
    21. InfluxDB
    22. AWS
    23. Google Cloud
    24. Azure

    AI recommended 24 alternatives but never named OpenBB-finance/experimental-openbb-platform-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python tools are available for building LLM-powered financial analysis agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. PandasAI (gventuri/pandas-ai)
    4. FinRL (AI4Finance-LLC/FinRL)
    5. OpenAI Python Library (openai/openai-python)
    6. Anthropic Python SDK (anthropics/anthropic-sdk-python)
    7. Google Generative AI SDK (google/generative-ai-python)
    8. Hugging Face Transformers (huggingface/transformers)

    AI recommended 8 alternatives but never named OpenBB-finance/experimental-openbb-platform-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 OpenBB-finance/experimental-openbb-platform-agent?
    pass
    AI did not name OpenBB-finance/experimental-openbb-platform-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 OpenBB-finance/experimental-openbb-platform-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named OpenBB-finance/experimental-openbb-platform-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 OpenBB-finance/experimental-openbb-platform-agent solve, and who is the primary audience?
    pass
    AI did not name OpenBB-finance/experimental-openbb-platform-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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OpenBB-finance/experimental-openbb-platform-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