RRepoGEO

REPOGEO REPORT · LITE

openai/plugins-quickstart

Default branch main · commit 0763ac2b · scanned 5/10/2026, 8:52:30 PM

GitHub: 4,234 stars · 712 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 openai/plugins-quickstart, 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 README H1 to reflect the repo's status as a legacy quickstart

    Why:

    CURRENT
    # ChatGPT plugins quickstart
    COPY-PASTE FIX
    # Reference: ChatGPT Plugins Quickstart (Superseded by GPTs)
  • highreadme#2
    Clarify the repo's current relevance and purpose in the opening paragraph

    Why:

    CURRENT
    Get a TODO list ChatGPT plugin up and running in under 5 minutes using Python. This plugin is designed to work in conjunction with the ChatGPT plugins documentation. Plugins have been superseded by GPTs, learn more about creating a GPT with actions.
    COPY-PASTE FIX
    This repository provides a quickstart for the *original* ChatGPT plugin system, allowing you to get a TODO list plugin up and running in under 5 minutes using Python. While plugins have been superseded by GPTs with Actions, this guide serves as a valuable reference for understanding the legacy plugin architecture and for those maintaining existing plugin implementations. For new development, learn more about creating a GPT with actions.
  • mediumtopics#3
    Add topics to explicitly categorize the repo as a reference for legacy plugins

    Why:

    CURRENT
    chatgpt, chatgpt-plugins
    COPY-PASTE FIX
    chatgpt, chatgpt-plugins, legacy-plugins, openai-plugins-reference

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 openai/plugins-quickstart
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. Flask · recommended 2×
  3. LlamaIndex · recommended 1×
  4. OpenAI Functions · recommended 1×
  5. FastAPI · recommended 1×
  • CATEGORY QUERY
    How to quickly develop custom extensions for a large language model assistant?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Functions
    4. FastAPI
    5. Pydantic
    6. Flask
    7. Next.js
    8. Vercel AI SDK

    AI recommended 8 alternatives but never named openai/plugins-quickstart. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python starter kit to integrate custom features with an AI chatbot.
    you: not recommended
    AI recommended (in order):
    1. Rasa
    2. LangChain
    3. Haystack
    4. Botpress
    5. Flask
    6. Django
    7. ChatterBot
    8. spaCy

    AI recommended 8 alternatives but never named openai/plugins-quickstart. 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 openai/plugins-quickstart?
    pass
    AI named openai/plugins-quickstart explicitly

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

  • If a team adopts openai/plugins-quickstart in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/plugins-quickstart 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 openai/plugins-quickstart solve, and who is the primary audience?
    pass
    AI named openai/plugins-quickstart explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
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