RRepoGEO

REPOGEO REPORT · LITE

feremabraz/bloomberg-terminal

Default branch main · commit d53714ef · scanned 7/1/2026, 4:13:07 AM

GitHub: 1,395 stars · 240 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
22 /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
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 feremabraz/bloomberg-terminal, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root to clearly state the project's licensing terms.
  • mediumreadme#2
    Clarify the 'AI' aspect mentioned in the description

    Why:

    COPY-PASTE FIX
    Add a section or sentence to the README clarifying what 'AI' refers to in the project, for example: 'The project incorporates intelligent local simulations and caching with Redis to minimize external API calls, providing a responsive experience without hitting rate limits.'

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 feremabraz/bloomberg-terminal
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Streamlit
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Streamlit · recommended 2×
  2. Plotly Dash · recommended 2×
  3. Grafana · recommended 1×
  4. Apache Kafka · recommended 1×
  5. Confluent Platform · recommended 1×
  • CATEGORY QUERY
    How to build a real-time financial data dashboard with market news and AI insights?
    you: not recommended
    AI recommended (in order):
    1. Streamlit
    2. Plotly Dash
    3. Grafana
    4. Apache Kafka
    5. Confluent Platform
    6. MongoDB
    7. PostgreSQL
    8. Hugging Face Transformers
    9. scikit-learn
    10. TensorFlow
    11. PyTorch
    12. Alpaca Markets API
    13. NewsAPI
    14. GNews API
    15. Beautiful Soup
    16. Scrapy

    AI recommended 16 alternatives but never named feremabraz/bloomberg-terminal. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source projects for creating a professional stock market terminal UI?
    you: not recommended
    AI recommended (in order):
    1. Plotly Dash
    2. Streamlit
    3. Electron
    4. React
    5. Angular
    6. Vue.js
    7. JupyterLab
    8. ipywidgets
    9. voila
    10. Qt
    11. PyQt
    12. PySide
    13. Flet
    14. Tkinter

    AI recommended 14 alternatives but never named feremabraz/bloomberg-terminal. 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 feremabraz/bloomberg-terminal?
    pass
    AI did not name feremabraz/bloomberg-terminal — 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 feremabraz/bloomberg-terminal in production, what risks or prerequisites should they evaluate first?
    pass
    AI named feremabraz/bloomberg-terminal 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 feremabraz/bloomberg-terminal solve, and who is the primary audience?
    pass
    AI did not name feremabraz/bloomberg-terminal — 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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feremabraz/bloomberg-terminal — 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