RRepoGEO

REPOGEO REPORT · LITE

thinkingjimmy/Learning-Prompt

Default branch main · commit b048da25 · scanned 6/29/2026, 3:38:05 PM

GitHub: 5,321 stars · 396 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 thinkingjimmy/Learning-Prompt, 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
    Remove misleading topic and add course-specific ones

    Why:

    CURRENT
    prompt, prompt-engineering, prompt-toolkit
    COPY-PASTE FIX
    prompt, prompt-engineering, online-course, generative-ai-course, chatgpt-tutorial, midjourney-tutorial
  • highreadme#2
    Strengthen README's opening to emphasize 'online course' structure

    Why:

    CURRENT
    This tutorial has three parts. The content covers my journey of learning Prompt Engineering, summarizing some of the experiences and methods. If you are learning Prompt Engineering, I hope this tutorial can help.
    COPY-PASTE FIX
    This free online course on Prompt Engineering is structured into three parts, covering my journey of learning and summarizing key experiences and methods. If you are looking for a comprehensive curriculum to learn Prompt Engineering, this course is designed to help.
  • mediumlicense#3
    Clarify existing license in README

    Why:

    COPY-PASTE FIX
    This project is licensed under [Specify License Name(s) here, e.g., 'a custom license combining MIT and Apache-2.0 terms']. Please refer to the `LICENSE` file for full details.

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 thinkingjimmy/Learning-Prompt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepLearning.AI's "Prompt Engineering for Developers"
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepLearning.AI's "Prompt Engineering for Developers" · recommended 1×
  2. Google's "Introduction to Generative AI" · recommended 1×
  3. Vanderbilt University's "Prompt Engineering for ChatGPT" · recommended 1×
  4. edX's "Prompt Engineering: How to Talk to AI" · recommended 1×
  5. Learn Prompting · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive free course on prompt engineering for AI applications?
    you: not recommended
    AI recommended (in order):
    1. DeepLearning.AI's "Prompt Engineering for Developers"
    2. Google's "Introduction to Generative AI"
    3. Vanderbilt University's "Prompt Engineering for ChatGPT"
    4. edX's "Prompt Engineering: How to Talk to AI"
    5. Learn Prompting
    6. Kaggle's "Introduction to Large Language Models"

    AI recommended 6 alternatives but never named thinkingjimmy/Learning-Prompt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How do I learn to effectively prompt generative AI models for text and image creation?
    you: not recommended
    AI recommended (in order):
    1. OpenAI's Prompt Engineering Guide
    2. LearnPrompting.org
    3. Midjourney
    4. PromptBase
    5. Google
    6. DALL-E 2/3
    7. Stable Diffusion

    AI recommended 7 alternatives but never named thinkingjimmy/Learning-Prompt. 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 thinkingjimmy/Learning-Prompt?
    pass
    AI named thinkingjimmy/Learning-Prompt explicitly

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

  • If a team adopts thinkingjimmy/Learning-Prompt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named thinkingjimmy/Learning-Prompt 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 thinkingjimmy/Learning-Prompt solve, and who is the primary audience?
    pass
    AI did not name thinkingjimmy/Learning-Prompt — 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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thinkingjimmy/Learning-Prompt — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite