RRepoGEO

REPOGEO REPORT · LITE

LinkedInLearning/advanced-prompt-engineering-techniques-3817061

Default branch main · commit bb5ea9ff · scanned 6/11/2026, 5:58:08 PM

GitHub: 581 stars · 281 forks

AI VISIBILITY SCORE
15 /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
0 / 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 LinkedInLearning/advanced-prompt-engineering-techniques-3817061, 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
  • hightopics#1
    Add specific topics for prompt engineering and education

    Why:

    COPY-PASTE FIX
    prompt-engineering, ai-prompts, large-language-models, llm, educational-resource, linkedin-learning, chain-of-thought, tree-of-thought
  • highreadme#2
    Reposition README opening to clarify purpose as example prompts

    Why:

    CURRENT
    This is the repository for the LinkedIn Learning course Advanced Prompt Engineering Techniques.
    COPY-PASTE FIX
    This repository provides practical, copy-and-paste prompt examples and resources for the LinkedIn Learning course: Advanced Prompt Engineering Techniques.
  • mediumhomepage#3
    Add the LinkedIn Learning course URL as the repository homepage

    Why:

    COPY-PASTE FIX
    https://www.linkedin.com/learning/advanced-pr

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 LinkedInLearning/advanced-prompt-engineering-techniques-3817061
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PromptPerfect
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. PromptPerfect · recommended 1×
  2. LangChain · recommended 1×
  3. LlamaIndex · recommended 1×
  4. OpenAI API · recommended 1×
  5. Hugging Face Transformers library · recommended 1×
  • CATEGORY QUERY
    How can I enhance AI model responses using advanced prompt engineering techniques?
    you: not recommended
    AI recommended (in order):
    1. PromptPerfect

    AI recommended 1 alternative but never named LinkedInLearning/advanced-prompt-engineering-techniques-3817061. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What prompt strategies are best for developing sophisticated AI applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI API
    4. Hugging Face Transformers library
    5. Anthropic Claude
    6. Microsoft Guidance
    7. Pinecone
    8. Weaviate
    9. Milvus
    10. Chroma

    AI recommended 10 alternatives but never named LinkedInLearning/advanced-prompt-engineering-techniques-3817061. 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 LinkedInLearning/advanced-prompt-engineering-techniques-3817061?
    pass
    AI did not name LinkedInLearning/advanced-prompt-engineering-techniques-3817061 — 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 LinkedInLearning/advanced-prompt-engineering-techniques-3817061 in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name LinkedInLearning/advanced-prompt-engineering-techniques-3817061 — 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?

  • In one sentence, what problem does the repo LinkedInLearning/advanced-prompt-engineering-techniques-3817061 solve, and who is the primary audience?
    pass
    AI did not name LinkedInLearning/advanced-prompt-engineering-techniques-3817061 — 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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MARKDOWN (README)
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