RRepoGEO

REPOGEO REPORT · LITE

ai-boost/awesome-prompts

Default branch main · commit 0e850fac · scanned 6/23/2026, 2:32:48 AM

GitHub: 8,284 stars · 780 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
33 /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
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 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
    Refine README's introductory paragraph for clearer positioning

    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, advanced prompt engineering techniques (attack & protect), frameworks, and research papers, with a strong engineering bias, sourced from top-rated GPTs in the GPTs Store.</p>
  • mediumtopics#2
    Add more specific topics related to advanced prompt engineering

    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-attack, prompt-defense, llm-security, prompt-frameworks, generative-ai-research
  • lowreadme#3
    Add a dedicated section on core differentiators

    Why:

    COPY-PASTE FIX
    ## Why Awesome Prompts? Our Differentiators

Unlike many prompt collections focused solely on templates, Awesome Prompts emphasizes the 'prompt as engineering' approach. We curate advanced frameworks, prompt attack/defense strategies, and significant research papers, providing a deeper dive into the technical aspects of prompt optimization and security.

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
openai/openai-cookbook
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/openai-cookbook · recommended 1×
  2. learn-prompting/learn-prompting · recommended 1×
  3. Anthropic's Prompt Engineering Guide · recommended 1×
  4. DeepLearning.AI's "Prompt Engineering for Developers" Course · recommended 1×
  5. dair-ai/awesome-prompt-engineering · recommended 1×
  • CATEGORY QUERY
    Where can I find effective prompt engineering techniques and curated examples for language models?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Cookbook (openai/openai-cookbook)
    2. Learn Prompting (learn-prompting/learn-prompting)
    3. Anthropic's Prompt Engineering Guide
    4. DeepLearning.AI's "Prompt Engineering for Developers" Course
    5. Awesome-Prompt-Engineering (dair-ai/awesome-prompt-engineering)
    6. Prompt Engineering Guide (by Elvis) (dair-ai/Prompt-Engineering-Guide)

    AI recommended 6 alternatives but never named ai-boost/awesome-prompts. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What resources exist for understanding advanced prompt engineering, including security and research papers?
    you: not recommended
    AI recommended (in order):
    1. Prompt Engineering Guide
    2. OpenAI's Prompt Engineering Best Practices
    3. arXiv.org
    4. Hugging Face Blog
    5. Transformers Library Documentation
    6. Google AI Blog
    7. Prompt Engineering: A Comprehensive Review
    8. NeurIPS
    9. ICML
    10. EMNLP
    11. ACL

    AI recommended 11 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 did not name ai-boost/awesome-prompts — 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 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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ai-boost/awesome-prompts — 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