RRepoGEO

REPOGEO REPORT · LITE

phodal/aigc

Default branch master · commit e6db1ebe · scanned 5/25/2026, 8:42:46 AM

GitHub: 1,640 stars · 185 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 phodal/aigc, 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
    Clarify README's opening to emphasize "ebook/guide" nature

    Why:

    CURRENT
    # 构筑大语言模型应用：应用开发与架构设计
> aka. Unlocking the Potential of Large Language Models: Real-World Use Cases
    COPY-PASTE FIX
    # 构筑大语言模型应用：应用开发与架构设计
一本关于 LLM 在真实世界应用的开源电子书，提供应用开发与架构设计的全面指南。
> aka. Unlocking the Potential of Large Language Models: Real-World Use Cases: An Open-Source Ebook
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, for example, using the Creative Commons Attribution 4.0 International License (CC-BY-4.0) for the book content.
  • mediumtopics#3
    Expand repository topics to include LLM application development and architecture

    Why:

    CURRENT
    aigc, chatgpt, ebook, llm, opensource
    COPY-PASTE FIX
    aigc, chatgpt, ebook, llm, opensource, llm-applications, llm-architecture, prompt-engineering, software-architecture

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 phodal/aigc
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. OpenAI API · recommended 1×
  5. Gradio · recommended 1×
  • CATEGORY QUERY
    Seeking guidance on architecting and developing real-world applications using large language models.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers
    4. OpenAI API
    5. Gradio
    6. Streamlit
    7. Weights & Biases

    AI recommended 7 alternatives but never named phodal/aigc. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective patterns for prompt engineering and managing LLM application workflows?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. PromptFlow
    4. OpenAI Playground
    5. Anthropic Console
    6. Weights & Biases Prompts (wandb/wandb)
    7. Guardrails AI (guardrails-ai/guardrails)
    8. Semantic Kernel (microsoft/semantic-kernel)

    AI recommended 8 alternatives but never named phodal/aigc. 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 phodal/aigc?
    pass
    AI named phodal/aigc explicitly

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

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

    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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phodal/aigc — 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