RRepoGEO

REPOGEO REPORT · LITE

mleoking/PromptAppGPT

Default branch main · commit f597287d · scanned 6/14/2026, 6:01:55 PM

GitHub: 545 stars · 76 forks

AI VISIBILITY SCORE
28 /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
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 mleoking/PromptAppGPT, 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
  • hightopics#1
    Add relevant topics for AI app development and low-code.

    Why:

    COPY-PASTE FIX
    ai-app-development, low-code, prompt-engineering, gpt, llm, agent-framework, ui-generation, rapid-development
  • highreadme#2
    Clarify the README's opening to emphasize "low-code AI app framework with auto-UI".

    Why:

    CURRENT
    # 💡 PromptAppGPT PromptAppGPT is a low-code prompt-based rapid app development framework. PromptAppGPT contains features such as low-code prompt-based development, GPT text generation, DALLE image generation, online prompt editer+compiler+runer, automatic user interface generation, support for plug-in extensions, etc. PromptAppGPT aims to enable natural language app development based on GPT. **PromptAppGPT significantly lowers the barrier to GPT application development, allowing anyone to develop AutoGPT-like agents with a few lines of low code.**
    COPY-PASTE FIX
    # 💡 PromptAppGPT PromptAppGPT is a low-code framework for building AI applications and agents, featuring automatic user interface generation directly from natural language prompts. It enables rapid development of GPT-powered apps, including text and image generation, with an online editor, compiler, and runner. **PromptAppGPT significantly lowers the barrier to GPT application development, allowing anyone to develop AutoGPT-like agents with a few lines of low code and no manual UI coding.**
  • mediumhomepage#3
    Add the web application URL to the repository homepage field.

    Why:

    COPY-PASTE FIX
    https://promptappgpt.mleoking.com

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 mleoking/PromptAppGPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
dotnet/aspnetcore
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. dotnet/aspnetcore · recommended 2×
  2. ChatGPT Plus / OpenAI API Playground · recommended 1×
  3. Google AI Studio / Gemini API · recommended 1×
  4. Microsoft Azure AI Studio · recommended 1×
  5. Hugging Face Spaces / Inference API · recommended 1×
  • CATEGORY QUERY
    How to quickly build AI applications using prompts without extensive coding?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT Plus / OpenAI API Playground
    2. Google AI Studio / Gemini API
    3. Microsoft Azure AI Studio
    4. Hugging Face Spaces / Inference API
    5. Gradio
    6. LangChain
    7. PromptLayer

    AI recommended 7 alternatives but never named mleoking/PromptAppGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help create custom GPT-like agents with auto-generated user interfaces?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. Streamlit (streamlit/streamlit)
    3. Gradio (gradio-app/gradio)
    4. LlamaIndex (run-llama/llama_index)
    5. OpenAI Assistants API
    6. React (facebook/react)
    7. Vue (vuejs/core)
    8. Svelte (sveltejs/svelte)
    9. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    10. Blazor (dotnet/aspnetcore)
    11. ASP.NET Core (dotnet/aspnetcore)
    12. Haystack (deepset-ai/haystack)
    13. FastAPI (tiangolo/fastapi)
    14. Flask (pallets/flask)

    AI recommended 14 alternatives but never named mleoking/PromptAppGPT. 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 mleoking/PromptAppGPT?
    pass
    AI named mleoking/PromptAppGPT explicitly

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

  • If a team adopts mleoking/PromptAppGPT in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mleoking/PromptAppGPT 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 mleoking/PromptAppGPT solve, and who is the primary audience?
    pass
    AI did not name mleoking/PromptAppGPT — 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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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite