RRepoGEO

REPOGEO REPORT · LITE

ozgrozer/chatgpt-artifacts

Default branch main · commit cae80171 · scanned 6/11/2026, 9:23:51 AM

GitHub: 511 stars · 85 forks

AI VISIBILITY SCORE
27 /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
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 ozgrozer/chatgpt-artifacts, 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
    Reposition the README H1 to specify it's a self-hostable web application

    Why:

    CURRENT
    # chatgpt-artifacts

Bring Claude's Artifacts feature to ChatGPT
    COPY-PASTE FIX
    # chatgpt-artifacts

**A self-hostable web application that brings Claude's interactive "Artifacts" feature to ChatGPT and local LLMs.**
  • highhomepage#2
    Remove the misleading homepage URL

    Why:

    CURRENT
    https://airenamer.app
    COPY-PASTE FIX
    (none)
  • mediumtopics#3
    Expand topics to include application type and LLM integration details

    Why:

    CURRENT
    artifacts, chatgpt, claude
    COPY-PASTE FIX
    artifacts, chatgpt, claude, llm, local-llm, ollama, groq, web-app, interactive-ai, ai-chat-ui, code-execution

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 ozgrozer/chatgpt-artifacts
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
jupyterlite/jupyterlite
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. jupyterlite/jupyterlite · recommended 1×
  2. codemirror/codemirror.next · recommended 1×
  3. piston-bot/piston · recommended 1×
  4. judge0/judge0 · recommended 1×
  5. pallets/flask · recommended 1×
  • CATEGORY QUERY
    How to enable persistent, interactive code and data blocks within my AI assistant's chat?
    you: not recommended
    AI recommended (in order):
    1. JupyterLite (jupyterlite/jupyterlite)
    2. CodeMirror 6 (codemirror/codemirror.next)
    3. Piston (piston-bot/piston)
    4. Judge0 (judge0/judge0)
    5. Flask (pallets/flask)
    6. FastAPI (tiangolo/fastapi)
    7. Observable Framework (observablehq/framework)
    8. Observable Plot (observablehq/plot)
    9. REPL.it Embeds (replit/replit)
    10. Wasmer (wasmerio/wasmer)
    11. Wasmtime (bytecodealliance/wasmtime)
    12. Pyodide (pyodide/pyodide)

    AI recommended 12 alternatives but never named ozgrozer/chatgpt-artifacts. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help integrate local large language models with a rich, interactive chat interface?
    you: not recommended
    AI recommended (in order):
    1. Gradio
    2. Streamlit
    3. LangChain
    4. Flask
    5. FastAPI
    6. React
    7. Vue
    8. Llama.cpp
    9. Ollama

    AI recommended 9 alternatives but never named ozgrozer/chatgpt-artifacts. 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 ozgrozer/chatgpt-artifacts?
    pass
    AI did not name ozgrozer/chatgpt-artifacts — 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 ozgrozer/chatgpt-artifacts in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ozgrozer/chatgpt-artifacts 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 ozgrozer/chatgpt-artifacts solve, and who is the primary audience?
    pass
    AI did not name ozgrozer/chatgpt-artifacts — 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?

Embed your GEO score

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ozgrozer/chatgpt-artifacts — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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