RRepoGEO

REPOGEO REPORT · LITE

JunChenMoCode/ChatGPT_JCM

Default branch master · commit 75aa5db3 · scanned 5/21/2026, 4:28:08 AM

GitHub: 2,934 stars · 640 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 JunChenMoCode/ChatGPT_JCM, 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
    Add a clear, concise tagline to the README opening

    Why:

    CURRENT
    The current README starts with an H1 and H4, followed by a paragraph.
    COPY-PASTE FIX
    Add this sentence immediately after the H4: "This is an open-source web UI for managing all OpenAI API interactions, including models, images, audio, fine-tuning, and files."
  • mediumhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://huggingface.co/spaces/junchenmo/OpenAI-Manager

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 JunChenMoCode/ChatGPT_JCM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Gradio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Gradio · recommended 2×
  2. Streamlit · recommended 2×
  3. OpenAI Playground · recommended 1×
  4. LangChain Playground · recommended 1×
  5. LlamaIndex Playground · recommended 1×
  • CATEGORY QUERY
    How can I manage all my OpenAI API interactions through a web UI?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Playground
    2. LangChain Playground
    3. LlamaIndex Playground
    4. Postman
    5. Insomnia
    6. Hugging Face Spaces
    7. Gradio
    8. Streamlit
    9. Dash
    10. Plotly
    11. Retool

    AI recommended 11 alternatives but never named JunChenMoCode/ChatGPT_JCM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source web application for managing OpenAI models and fine-tuning jobs.
    you: not recommended
    AI recommended (in order):
    1. OpenPipe
    2. LlamaIndex
    3. LangChain
    4. MLflow
    5. Weights & Biases (W&B)
    6. Gradio
    7. Streamlit

    AI recommended 7 alternatives but never named JunChenMoCode/ChatGPT_JCM. 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 JunChenMoCode/ChatGPT_JCM?
    pass
    AI did not name JunChenMoCode/ChatGPT_JCM — 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 JunChenMoCode/ChatGPT_JCM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named JunChenMoCode/ChatGPT_JCM 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 JunChenMoCode/ChatGPT_JCM solve, and who is the primary audience?
    pass
    AI did not name JunChenMoCode/ChatGPT_JCM — 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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JunChenMoCode/ChatGPT_JCM — 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