RRepoGEO

REPOGEO REPORT · LITE

virattt/financial-agent-ui

Default branch main · commit 4125810b · scanned 6/2/2026, 11:42:53 PM

GitHub: 791 stars · 125 forks

AI VISIBILITY SCORE
23 /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
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 virattt/financial-agent-ui, 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
    Reposition the README's opening statement to clarify its purpose as an application

    Why:

    CURRENT
    ## Welcome 👋

This is a generative UI financial agent.
    COPY-PASTE FIX
    ## Welcome 👋

This repository showcases a fully functional generative UI financial agent application.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root directory with your chosen open-source license (e.g., MIT, Apache-2.0).

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 virattt/financial-agent-ui
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
QuantConnect/Lean
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. QuantConnect/Lean · recommended 2×
  2. Next.js · recommended 1×
  3. React · recommended 1×
  4. OpenAI API · recommended 1×
  5. GPT-4 · recommended 1×
  • CATEGORY QUERY
    How to build a generative AI application that dynamically renders financial data interfaces?
    you: not recommended
    AI recommended (in order):
    1. Next.js
    2. React
    3. OpenAI API
    4. GPT-4
    5. GPT-3.5 Turbo
    6. Vercel
    7. Streamlit
    8. LangChain
    9. Plotly
    10. Dash
    11. Flask
    12. Gatsby
    13. Google Cloud Vertex AI
    14. Generative AI Studio
    15. Netlify
    16. Vue.js
    17. Nuxt.js
    18. Azure OpenAI Service
    19. Azure Static Web Apps
    20. SvelteKit
    21. Svelte
    22. Cohere API
    23. Cloudflare Pages
    24. Cloudflare Workers

    AI recommended 24 alternatives but never named virattt/financial-agent-ui. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help create AI agents for real-time stock market analysis and dynamic UI?
    you: not recommended
    AI recommended (in order):
    1. Pandas (pandas-dev/pandas)
    2. NumPy (numpy/numpy)
    3. scikit-learn (scikit-learn/scikit-learn)
    4. TensorFlow (tensorflow/tensorflow)
    5. PyTorch (pytorch/pytorch)
    6. Streamlit (streamlit/streamlit)
    7. Dash (plotly/dash)
    8. QuantConnect (QuantConnect/Lean)
    9. Lean Engine (QuantConnect/Lean)
    10. Alpaca API
    11. Flask (pallets/flask)
    12. Django (django/django)
    13. Node.js (nodejs/node)
    14. Express (expressjs/express)
    15. React (facebook/react)
    16. Vue.js (vuejs/core)
    17. Angular (angular/angular)
    18. Kdb+
    19. kdb Insights
    20. Q
    21. DataRobot
    22. Driverless AI
    23. Apache Kafka (apache/kafka)
    24. Apache Flink (apache/flink)
    25. Apache Spark Streaming (apache/spark)

    AI recommended 25 alternatives but never named virattt/financial-agent-ui. 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 virattt/financial-agent-ui?
    pass
    AI named virattt/financial-agent-ui explicitly

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

  • If a team adopts virattt/financial-agent-ui in production, what risks or prerequisites should they evaluate first?
    pass
    AI named virattt/financial-agent-ui 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 virattt/financial-agent-ui solve, and who is the primary audience?
    pass
    AI did not name virattt/financial-agent-ui — 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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virattt/financial-agent-ui — 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