RRepoGEO

REPOGEO REPORT · LITE

shreyashankar/gpt3-sandbox

Default branch master · commit e48ae2bc · scanned 5/11/2026, 4:57:50 PM

GitHub: 2,875 stars · 865 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 shreyashankar/gpt3-sandbox, 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 paragraph to emphasize core value

    Why:

    CURRENT
    Initial release date: 19 July 2020
    
    Note that this repository is not under any active development; just basic maintenance.
    
    ## Description
    
    The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API **with just a few lines of Python.**
    COPY-PASTE FIX
    The GPT-3 Sandbox enables users to quickly create cool web demos using the OpenAI GPT-3 API with just a few lines of Python. It simplifies prompt management and automatically formats inputs/outputs for effective pattern-matching, providing a self-hostable web UI for your GPT-3 experiments.
    
    Initial release date: 19 July 2020
    Note that this repository is not under any active development; just basic maintenance.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/shreyashankar/gpt3-sandbox

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 shreyashankar/gpt3-sandbox
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
gradio-app/gradio
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. gradio-app/gradio · recommended 1×
  2. streamlit/streamlit · recommended 1×
  3. holoviz/panel · recommended 1×
  4. pallets/flask · recommended 1×
  5. tiangolo/fastapi · recommended 1×
  • CATEGORY QUERY
    How to quickly build a web demo for a large language model API using Python?
    you: not recommended
    AI recommended (in order):
    1. Gradio (gradio-app/gradio)
    2. Streamlit (streamlit/streamlit)
    3. Panel (holoviz/panel)
    4. Flask (pallets/flask)
    5. FastAPI (tiangolo/fastapi)
    6. Django (django/django)

    AI recommended 6 alternatives but never named shreyashankar/gpt3-sandbox. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python tools simplify creating web interfaces for AI models and managing prompts?
    you: not recommended
    AI recommended (in order):
    1. Gradio
    2. Streamlit
    3. Panel
    4. FastAPI
    5. React
    6. Vue
    7. Svelte
    8. Flask
    9. Jinja2
    10. Django

    AI recommended 10 alternatives but never named shreyashankar/gpt3-sandbox. 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 shreyashankar/gpt3-sandbox?
    pass
    AI named shreyashankar/gpt3-sandbox explicitly

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

  • If a team adopts shreyashankar/gpt3-sandbox in production, what risks or prerequisites should they evaluate first?
    pass
    AI named shreyashankar/gpt3-sandbox 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 shreyashankar/gpt3-sandbox solve, and who is the primary audience?
    pass
    AI named shreyashankar/gpt3-sandbox 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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shreyashankar/gpt3-sandbox — 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