RRepoGEO

REPOGEO REPORT · LITE

melih-unsal/DemoGPT

Default branch main · commit aca748b7 · scanned 5/10/2026, 6:37:08 PM

GitHub: 1,896 stars · 223 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 melih-unsal/DemoGPT, 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 README H1 and subtitle to highlight core differentiator

    Why:

    CURRENT
    # 🤖 Create Agents in a Second - with the Best Tools, RAG, Knowledge Graph and Vector Databases

⚡ Everything you need to create an LLM Agent is here. Access a comprehensive suite of tools, prompts, frameworks, and a knowledge hub of LLM models—all in one place to streamline your agent development.
    COPY-PASTE FIX
    # 🤖 Generate Complete LLM Agent Applications from Prompts in Seconds

⚡ DemoGPT is the ultimate platform to rapidly build and deploy LLM agents. Describe your desired functionality with a single prompt, and DemoGPT generates a complete, runnable LLM application with all the necessary tools, frameworks, and models.
  • highhomepage#2
    Add homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://demogpt.io
  • mediumtopics#3
    Add more specific topics related to LLM application generation

    Why:

    CURRENT
    agent, agents, ai, artificial-intelligence, autogpt, autonomous-agents, chatgpt, chatgpt-api, deepseek, demo, gpt-4, langchain, langchain-app, langchain-python, llms, o1, openai, python, streamlit, streamlit-application
    COPY-PASTE FIX
    agent, agents, ai, artificial-intelligence, autogpt, autonomous-agents, chatgpt, chatgpt-api, deepseek, demo, gpt-4, langchain, langchain-app, langchain-python, llms, o1, openai, python, streamlit, streamlit-application, llm-app-generator, prompt-to-app, ai-app-builder, streamlit-generator

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 melih-unsal/DemoGPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Assistants API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Assistants API · recommended 2×
  2. LangChain · recommended 1×
  3. LlamaIndex · recommended 1×
  4. CrewAI · recommended 1×
  5. AutoGen · recommended 1×
  • CATEGORY QUERY
    How can I quickly build and deploy autonomous LLM agents using existing tools?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. CrewAI
    4. AutoGen
    5. Haystack
    6. OpenAI Assistants API
    7. Marvin

    AI recommended 7 alternatives but never named melih-unsal/DemoGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best integrated platforms for developing LLM agents with various frameworks and models?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Microsoft Azure AI Studio
    4. Google Cloud Vertex AI
    5. Hugging Face Transformers Agents (huggingface/transformers)
    6. Weights & Biases (W&B) Prompts
    7. OpenAI Assistants API

    AI recommended 7 alternatives but never named melih-unsal/DemoGPT. 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 melih-unsal/DemoGPT?
    pass
    AI named melih-unsal/DemoGPT explicitly

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

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