RRepoGEO

REPOGEO REPORT · LITE

xbbg-org/xbbg

Default branch main · commit d910396b · scanned 6/15/2026, 8:51:22 PM

GitHub: 785 stars · 65 forks

AI VISIBILITY SCORE
40 /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
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 xbbg-org/xbbg, 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
    Update repository description and add a clear opening statement to README

    Why:

    CURRENT
    Description: "Intuitive Data Workflows". README starts with badges/links.
    COPY-PASTE FIX
    Repository Description: "xbbg simplifies programmatic interaction with the Bloomberg Terminal API from Python, enabling financial professionals and quantitative developers to easily retrieve market data and execute Bloomberg functions."
README (add this line right after the initial badges/links, before the 'Important' disclaimer): "xbbg is a Python and Rust-powered library that simplifies programmatic interaction with the Bloomberg Terminal API, enabling financial professionals and quantitative developers to easily retrieve market data and execute Bloomberg functions."
  • mediumtopics#2
    Add explicit Bloomberg-related topics

    Why:

    CURRENT
    apache-arrow, blpapi, finance, financial-data, fintech, market-data, napi-rs, nodejs, pandas, polars, pyo3, python, quantitative-finance, rust, streaming, timeseries
    COPY-PASTE FIX
    apache-arrow, blpapi, bloomberg, bloomberg-api, finance, financial-data, fintech, market-data, napi-rs, nodejs, pandas, polars, pyo3, python, quantitative-finance, rust, streaming, timeseries
  • mediumreadme#3
    Add a dedicated 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., 'Comparison with Alternatives', to the README. In this section, explicitly compare `xbbg` to `pdblp` and the raw `blpapi` library, highlighting `xbbg`'s core differentiator: its highly simplified, direct, and often formula-like API design that aims to mimic Bloomberg functions.

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 xbbg-org/xbbg
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
pola-rs/polars
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. pola-rs/polars · recommended 2×
  2. yfinance · recommended 1×
  3. alpaca-py · recommended 1×
  4. ib_insync · recommended 1×
  5. polygon-api-client · recommended 1×
  • CATEGORY QUERY
    How to efficiently retrieve and process real-time financial market data in Python?
    you: not recommended
    AI recommended (in order):
    1. yfinance
    2. alpaca-py
    3. ib_insync
    4. polygon-api-client
    5. finnhub-python
    6. ccxt

    AI recommended 6 alternatives but never named xbbg-org/xbbg. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good libraries for building robust quantitative finance data workflows with Python and Rust?
    you: not recommended
    AI recommended (in order):
    1. Pandas (pandas-dev/pandas)
    2. NumPy (numpy/numpy)
    3. SciPy (scipy/scipy)
    4. Dask (dask/dask)
    5. Polars (pola-rs/polars)
    6. Polars (pola-rs/polars)
    7. ndarray (rust-ndarray/ndarray)
    8. chrono (chronotope/chrono)
    9. serde (serde-rs/serde)
    10. arrow / parquet (apache/arrow-rs)

    AI recommended 10 alternatives but never named xbbg-org/xbbg. 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 xbbg-org/xbbg?
    pass
    AI named xbbg-org/xbbg explicitly

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

  • If a team adopts xbbg-org/xbbg in production, what risks or prerequisites should they evaluate first?
    pass
    AI named xbbg-org/xbbg 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 xbbg-org/xbbg solve, and who is the primary audience?
    pass
    AI named xbbg-org/xbbg 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 xbbg-org/xbbg. 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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HTML
<a href="https://repogeo.com/en/r/xbbg-org/xbbg"><img src="https://repogeo.com/badge/xbbg-org/xbbg.svg" alt="RepoGEO" /></a>
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xbbg-org/xbbg — 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