RRepoGEO

REPOGEO REPORT · LITE

snwfdhmp/awesome-gpt-prompt-engineering

Default branch main · commit 73fd8515 · scanned 5/16/2026, 11:54:04 AM

GitHub: 1,581 stars · 187 forks

AI VISIBILITY SCORE
22 /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
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 snwfdhmp/awesome-gpt-prompt-engineering, 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
  • highhomepage#1
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/snwfdhmp/awesome-gpt-prompt-engineering
  • highreadme#2
    Reposition the README opening to emphasize its role as a discovery hub

    Why:

    CURRENT
    A curated list of awesome resources, tools, and other shiny things for GPT prompt engineering.
    COPY-PASTE FIX
    This repository is a comprehensive, curated list of awesome resources, tools, and other shiny things for GPT prompt engineering, serving as your central hub for discovering and navigating the vast landscape of LLM knowledge.
  • mediumreadme#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under the terms found in the [LICENSE](LICENSE) file. Please refer to the file for specific details regarding usage and distribution.

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 snwfdhmp/awesome-gpt-prompt-engineering
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. OpenAI Cookbook · recommended 1×
  3. Learn Prompting · recommended 1×
  4. DeepLearning.AI's "Generative AI with Large Language Models" Courses · recommended 1×
  5. DeepLearning.AI's "Prompt Engineering for Developers" Courses · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive resources and tools for effective LLM prompt engineering?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Cookbook
    2. Learn Prompting
    3. DeepLearning.AI's "Generative AI with Large Language Models" Courses
    4. DeepLearning.AI's "Prompt Engineering for Developers" Courses
    5. LangChain
    6. Anthropic's Prompt Engineering Guide
    7. PromptPerfect
    8. Vellum

    AI recommended 8 alternatives but never named snwfdhmp/awesome-gpt-prompt-engineering. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best techniques and guides for improving my large language model prompting skills?
    you: not recommended
    AI recommended (in order):
    1. Prompt Engineering Guide" by OpenAI
    2. GPT-3.5
    3. GPT-4
    4. Prompt Engineering Guide" by DAIR.AI
    5. OpenAI Playground
    6. Google AI Studio
    7. Gemini
    8. Large Language Model Prompting: A Comprehensive Survey
    9. Awesome Prompt Engineering
    10. GitHub Copilot
    11. OpenAI Codex
    12. Google's Codey
    13. Jasper
    14. Copy.ai
    15. Prompt Engineering Subreddit
    16. OpenAI
    17. LangChain

    AI recommended 17 alternatives but never named snwfdhmp/awesome-gpt-prompt-engineering. 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 snwfdhmp/awesome-gpt-prompt-engineering?
    pass
    AI did not name snwfdhmp/awesome-gpt-prompt-engineering — 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 snwfdhmp/awesome-gpt-prompt-engineering in production, what risks or prerequisites should they evaluate first?
    pass
    AI named snwfdhmp/awesome-gpt-prompt-engineering 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 snwfdhmp/awesome-gpt-prompt-engineering solve, and who is the primary audience?
    pass
    AI did not name snwfdhmp/awesome-gpt-prompt-engineering — 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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snwfdhmp/awesome-gpt-prompt-engineering — 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