RRepoGEO

REPOGEO REPORT · LITE

promptslab/Awesome-Prompt-Engineering

Default branch main · commit 49a19d1f · scanned 6/22/2026, 4:32:27 AM

GitHub: 6,076 stars · 709 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)

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

AI VISIBILITY SCORE
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 promptslab/Awesome-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 the README's opening paragraph to clarify its role as a comprehensive resource hub

    Why:

    CURRENT
    A hand-curated collection of resources for Prompt Engineering and Context Engineering — covering papers, tools, models, APIs, benchmarks, courses, and communities for working with Large Language Models.
    COPY-PASTE FIX
    The definitive, hand-curated collection of resources for Prompt Engineering and Context Engineering. This awesome list serves as your central hub for papers, tools, models, APIs, benchmarks, courses, and communities for working with Large Language Models, going beyond individual guides to offer a comprehensive learning and reference path.
  • mediumtopics#2
    Add topics that explicitly signal 'awesome list' and 'resource collection'

    Why:

    CURRENT
    chatgpt, chatgpt-api, deep-learning, few-shot-learning, gpt, gpt-3, machine-learning, openai, prompt, prompt-based-learning, prompt-engineering, prompt-generator, prompt-learning, prompt-toolkit, prompt-tuning, promptengineering, text-to-image, text-to-speech, text-to-video
    COPY-PASTE FIX
    chatgpt, chatgpt-api, deep-learning, few-shot-learning, gpt, gpt-3, machine-learning, openai, prompt, prompt-based-learning, prompt-engineering, prompt-generator, prompt-learning, prompt-toolkit, prompt-tuning, promptengineering, text-to-image, text-to-speech, text-to-video, awesome-list, resource-collection, learning-resources, llm-resources, context-engineering
  • lowreadme#3
    Add a 'Why This Collection?' section to explicitly differentiate from individual guides

    Why:

    COPY-PASTE FIX
    ## Why This Collection?
While individual guides like OpenAI's Prompt Engineering Guide or DeepLearning.AI's course offer excellent starting points, Awesome Prompt Engineering provides a curated, comprehensive, and continuously updated hub that aggregates the best of these resources and much more. We aim to be the single source of truth for all things Prompt Engineering, from foundational papers to cutting-edge tools and community discussions, allowing you to explore the entire landscape rather than just one path.

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 promptslab/Awesome-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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI's Prompt Engineering Guide · recommended 1×
  2. DeepLearning.AI's 'Prompt Engineering for Developers' Course · recommended 1×
  3. Learn Prompting · recommended 1×
  4. Anthropic's 'Prompt Engineering' Documentation · recommended 1×
  5. Google's 'Prompt Engineering Guide' · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive resources to learn prompt engineering for large language models?
    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. Anthropic's 'Prompt Engineering' Documentation
    5. Google's 'Prompt Engineering Guide'
    6. Prompt Engineering Guide (Dair-AI/Prompt-Engineering-Guide)
    7. The Prompt Engineering Book

    AI recommended 7 alternatives but never named promptslab/Awesome-Prompt-Engineering. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best practices and tools for effective context engineering with generative AI?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Playground
    4. W&B Prompts
    5. Guardrails AI
    6. PromptLayer
    7. Semantic Kernel

    AI recommended 7 alternatives but never named promptslab/Awesome-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
    pass

  • 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 promptslab/Awesome-Prompt-Engineering?
    pass
    AI did not name promptslab/Awesome-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 promptslab/Awesome-Prompt-Engineering in production, what risks or prerequisites should they evaluate first?
    pass
    AI named promptslab/Awesome-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 promptslab/Awesome-Prompt-Engineering solve, and who is the primary audience?
    pass
    AI did not name promptslab/Awesome-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?

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promptslab/Awesome-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