RRepoGEO

REPOGEO REPORT · LITE

radi-cho/awesome-gpt4

Default branch main · commit 777f9702 · scanned 5/24/2026, 9:22:48 AM

GitHub: 2,221 stars · 136 forks

AI VISIBILITY SCORE
56 /100
Needs work
Category recall
1 / 2
Avg rank #3.0 when recommended
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 radi-cho/awesome-gpt4, 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 opening to target developers seeking GPT-4 development guidance

    Why:

    CURRENT
    > A curated list of prompts, tools, and resources regarding the GPT-4 language model.
    COPY-PASTE FIX
    > A curated list of essential prompts, development tools, and comprehensive resources for developers, researchers, and enthusiasts working with the GPT-4 language model, focusing on best practices and effective application strategies.
  • mediumhomepage#2
    Add the homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    https://github.com/radi-cho/awesome-gpt4-wbesite
  • lowreadme#3
    Add a sentence highlighting the exclusive GPT-4 focus

    Why:

    COPY-PASTE FIX
    This list is exclusively dedicated to high-quality, curated content for OpenAI's GPT-4 model, distinguishing it from broader LLM resource collections.

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
1 / 2
50% of queries surface radi-cho/awesome-gpt4
Avg rank
#3.0
Lower is better. #1 = top recommendation.
Share of voice
7%
Of all named tools, what % are you?
Top rival
OpenAI API Documentation
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API Documentation · recommended 1×
  2. OpenAI Cookbook · recommended 1×
  3. LangChain Documentation · recommended 1×
  4. LlamaIndex Documentation · recommended 1×
  5. Hugging Face Transformers Library Documentation · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of tools and resources for working with GPT-4?
    you: #3
    AI recommended (in order):
    1. OpenAI API Documentation
    2. OpenAI Cookbook
    3. Awesome-GPT4 ← you
    4. LangChain Documentation
    5. LlamaIndex Documentation
    6. Hugging Face Transformers Library Documentation
    7. Prompt Engineering Guide
    Show full AI answer
  • CATEGORY QUERY
    What are the best practices and effective prompts for developing applications using GPT-4?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. LangChain
    3. LlamaIndex
    4. Guardrails AI
    5. Weights & Biases
    6. Semantic Kernel
    7. PromptLayer

    AI recommended 7 alternatives but never named radi-cho/awesome-gpt4. 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 radi-cho/awesome-gpt4?
    pass
    AI did not name radi-cho/awesome-gpt4 — 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 radi-cho/awesome-gpt4 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named radi-cho/awesome-gpt4 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 radi-cho/awesome-gpt4 solve, and who is the primary audience?
    pass
    AI named radi-cho/awesome-gpt4 explicitly

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

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radi-cho/awesome-gpt4 — 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