RRepoGEO

REPOGEO REPORT · LITE

ai-boost/awesome-prompts

Default branch main · commit 80ad2dec · scanned 5/12/2026, 5:47:32 PM

GitHub: 7,871 stars · 726 forks

AI VISIBILITY SCORE
40 /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
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 ai-boost/awesome-prompts, 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 statement to clearly identify as an 'awesome list'

    Why:

    CURRENT
    <p align="center">Curated prompts, frameworks, and papers — with an engineering bias.</p>
    COPY-PASTE FIX
    <p align="center">An awesome list of curated prompts, frameworks, and advanced papers for prompt engineering, with a strong engineering bias.</p>
  • mediumtopics#2
    Add topics that emphasize the repo's nature as a curated collection

    Why:

    CURRENT
    awesome, awesome-list, chatgpt, gpt4, gpts, gptstore, papers, prompt, prompt-engineering
    COPY-PASTE FIX
    awesome, awesome-list, chatgpt, gpt4, gpts, gptstore, papers, prompt, prompt-engineering, prompt-collection, ai-resource, curated-prompts
  • lowreadme#3
    Add a sentence to explicitly differentiate from prompt engineering frameworks

    Why:

    COPY-PASTE FIX
    Add to the introductory section of the README: "While covering advanced prompt engineering, this repository serves as a curated collection of resources and not a software framework or library like LangChain or LlamaIndex."

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 ai-boost/awesome-prompts
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT · recommended 1×
  2. Google Bard · recommended 1×
  3. GitHub Copilot · recommended 1×
  4. DALL-E 3 · recommended 1×
  5. Midjourney · recommended 1×
  • CATEGORY QUERY
    What are effective techniques for crafting better prompts to get desired AI responses?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Google Bard
    3. GitHub Copilot
    4. DALL-E 3
    5. Midjourney
    6. Claude 3
    7. OpenAI's GPT-4 API
    8. Perplexity AI
    9. Google Gemini
    10. Microsoft Copilot

    AI recommended 10 alternatives but never named ai-boost/awesome-prompts. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find advanced strategies and frameworks for robust prompt engineering?
    you: not recommended
    AI recommended (in order):
    1. OpenAI's Prompt Engineering Guide
    2. LangChain
    3. LlamaIndex
    4. Prompt Engineering Guide
    5. Constitutional AI
    6. DeepLearning.AI's "Prompt Engineering for Developers" Course
    7. arXiv

    AI recommended 7 alternatives but never named ai-boost/awesome-prompts. 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 ai-boost/awesome-prompts?
    pass
    AI named ai-boost/awesome-prompts explicitly

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

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

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite