RRepoGEO

REPOGEO REPORT · LITE

dongshuyan/Awesome-Prompts

Default branch master · commit 39202616 · scanned 5/19/2026, 4:02:56 PM

GitHub: 1,091 stars · 129 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
57 /100
Needs work
Category recall
1 / 2
Avg rank #1.0 when recommended
Rule findings
1 pass · 0 warn · 1 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 dongshuyan/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 README opening to highlight Chinese-language prompt collection

    Why:

    COPY-PASTE FIX
    Move the following sentence to the very beginning of the README, right after the main H1 title: "一个专注于收集、整理和分享高质量中文AI Prompt的个人仓库，汇集了原创设计和从互联网精选的优质Prompt。"
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    Add the following topics to the repository: `prompt-engineering, prompts, ai-prompts, chinese-prompts, llm, large-language-models, awesome-list`
  • highlicense#3
    Add a LICENSE file to clarify usage rights

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the text of the MIT License.

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
1 / 2
50% of queries surface dongshuyan/Awesome-Prompts
Avg rank
#1.0
Lower is better. #1 = top recommendation.
Share of voice
7%
Of all named tools, what % are you?
Top rival
Prompt Engineering Guide
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Prompt Engineering Guide · recommended 2×
  2. Learn Prompting · recommended 2×
  3. OpenAI Cookbook · recommended 2×
  4. FlowGPT · recommended 1×
  5. PromptBase · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive collection of effective prompts for AI models?
    you: #1
    AI recommended (in order):
    1. Awesome-Prompts ← you
    2. Prompt Engineering Guide
    3. FlowGPT
    4. PromptBase
    5. Learn Prompting
    6. OpenAI Cookbook
    Show full AI answer
  • CATEGORY QUERY
    How can I discover high-quality prompts to improve my large language model interactions?
    you: not recommended
    AI recommended (in order):
    1. Prompt Engineering Guide
    2. Awesome-Prompt-Engineering
    3. Learn Prompting
    4. OpenAI Cookbook
    5. Anthropic's Prompt Engineering Guide
    6. Hugging Face
    7. Reddit's r/PromptEngineering
    8. AI-focused Discord servers

    AI recommended 8 alternatives but never named dongshuyan/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
    fail

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