RRepoGEO

REPOGEO REPORT · LITE

DSXiangLi/DecryptPrompt

Default branch main · commit c3bfc262 · scanned 6/26/2026, 10:02:57 AM

GitHub: 3,424 stars · 321 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
28 /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
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 DSXiangLi/DecryptPrompt, 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
    Clarify README's opening statement to define repo's purpose

    Why:

    CURRENT
    # DecryptPrompt
    COPY-PASTE FIX
    # DecryptPrompt: LLM/AIGC论文、开源资源与应用精选总结

本仓库旨在总结Prompt与LLM相关论文，并提供开源数据、模型及AIGC应用汇总，帮助研究者和开发者快速了解最新进展。
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the text of the MIT License (or your preferred open-source license).
  • mediumabout#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Set the repository's homepage URL to `https://github.com/DSXiangLi/DecryptPrompt` or a more specific project/blog URL if available.

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 DSXiangLi/DecryptPrompt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Cookbook
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Cookbook · recommended 1×
  2. DeepLearning.AI's "Prompt Engineering for Developers" Course · recommended 1×
  3. "The Art of Prompt Engineering" by Google Cloud · recommended 1×
  4. LangChain · recommended 1×
  5. Anthropic's "Prompt Engineering Guide" · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive resources to understand prompt engineering and advanced LLM techniques?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Cookbook
    2. DeepLearning.AI's "Prompt Engineering for Developers" Course
    3. "The Art of Prompt Engineering" by Google Cloud
    4. LangChain
    5. Anthropic's "Prompt Engineering Guide"
    6. Hugging Face's "Transformers" Library
    7. Awesome-Prompt-Engineering

    AI recommended 7 alternatives but never named DSXiangLi/DecryptPrompt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good resources for keeping up with recent research papers on LLMs and AIGC applications?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. arXiv Sanity Preserver
    3. Papers with Code
    4. Hugging Face Blog
    5. Hugging Face Research
    6. The Batch by DeepLearning.AI
    7. Import AI by Jack Clark
    8. Last Week in AI
    9. Twitter (now X)
    10. Google AI
    11. Meta AI
    12. OpenAI
    13. DeepMind
    14. Anthropic
    15. Google Scholar Alerts
    16. NeurIPS
    17. ICML
    18. ICLR
    19. ACL
    20. EMNLP
    21. CVPR

    AI recommended 21 alternatives but never named DSXiangLi/DecryptPrompt. 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 DSXiangLi/DecryptPrompt?
    pass
    AI named DSXiangLi/DecryptPrompt explicitly

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

  • If a team adopts DSXiangLi/DecryptPrompt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named DSXiangLi/DecryptPrompt 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 DSXiangLi/DecryptPrompt solve, and who is the primary audience?
    pass
    AI did not name DSXiangLi/DecryptPrompt — 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

Drop this badge into the README of DSXiangLi/DecryptPrompt. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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DSXiangLi/DecryptPrompt — 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