RRepoGEO

REPOGEO REPORT · LITE

snwfdhmp/awesome-gpt-prompt-engineering

Default branch main · commit 73fd8515 · scanned 6/27/2026, 8:32:56 AM

GitHub: 1,600 stars · 199 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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
  • highreadme#1
    Reposition README opening to clearly state it's a list of resources, not a guide or course

    Why:

    CURRENT
    A curated list of awesome resources, tools, and other shiny things for GPT prompt engineering.
    COPY-PASTE FIX
    This is the definitive awesome list for GPT prompt engineering, providing a comprehensive, curated collection of resources, tools, and shiny things. It serves as a central directory to explore the field, rather than a single instructional guide or course.
  • mediumhomepage#2
    Add a relevant homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/snwfdhmp/awesome-gpt-prompt-engineering
  • lowreadme#3
    Add a section to the README clarifying the repository's license

    Why:

    COPY-PASTE FIX
    ## License

This repository uses a custom license. Please refer to the [LICENSE](LICENSE) file for full details on the terms and conditions that apply.

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
OpenAI's Prompt Engineering Guide
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI's Prompt Engineering Guide · recommended 2×
  2. DeepLearning.AI's "Prompt Engineering for Developers" Course · recommended 2×
  3. Learn Prompting · recommended 1×
  4. Prompt Engineering Guide · recommended 1×
  5. Anthropic's "Prompt Engineering" Documentation · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive resources and guides for large language model prompt engineering?
    you: not recommended
    AI recommended (in order):
    1. OpenAI's Prompt Engineering Guide
    2. DeepLearning.AI's "Prompt Engineering for Developers" Course
    3. Learn Prompting
    4. Prompt Engineering Guide
    5. Anthropic's "Prompt Engineering" Documentation
    6. Google's AI Principles and Prompting Guidelines
    7. Hugging Face's Transformers Documentation and Blog

    AI recommended 7 alternatives but never named snwfdhmp/awesome-gpt-prompt-engineering. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a curated collection of prompt engineering techniques, tools, and best practices.
    you: not recommended
    AI recommended (in order):
    1. OpenAI's Prompt Engineering Guide
    2. LearnPrompting.org
    3. DeepLearning.AI's "Prompt Engineering for Developers" Course
    4. Anthropic
    5. Awesome-Prompt-Engineering
    6. LangChain Documentation
    7. PromptPerfect

    AI recommended 7 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