RRepoGEO

REPOGEO REPORT · LITE

EgoAlpha/prompt-in-context-learning

Default branch main · commit cdbea4cb · scanned 6/26/2026, 1:16:43 PM

GitHub: 2,244 stars · 190 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
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 EgoAlpha/prompt-in-context-learning, 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 the README's main heading to clearly state its role as a definitive guide and resource hub

    Why:

    CURRENT
    An Open-Source Engineering Guide for Prompt-in-context-learning from EgoAlpha Lab.
    COPY-PASTE FIX
    The Definitive Open-Source Guide and Resource Hub for Prompt Engineering and In-Context Learning.
  • mediumreadme#2
    Add a concise statement highlighting the systematic framework for ICL strategies

    Why:

    COPY-PASTE FIX
    Add this sentence immediately after the main heading or in the "Shining" section: "It offers a systematic framework for implementing, comparing, and evaluating various in-context learning (ICL) strategies, alongside cutting-edge research and practical examples."
  • lowtopics#3
    Add specific topics to reinforce its identity as a guide and resource

    Why:

    CURRENT
    ai-agent, chain-of-thought, chatbot, chatgpt, chatgpt-api, cot, in-context-learning, language-modeling, large-language-model, llm, pre-training, prompt, prompt-based-learning, prompt-engineering, prompt-learning
    COPY-PASTE FIX
    Add `prompt-engineering-guide`, `llm-resources`, `ai-learning-path` to the existing topics.

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 EgoAlpha/prompt-in-context-learning
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" Course
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepLearning.AI's "Prompt Engineering for Developers" Course · recommended 2×
  2. OpenAI's Prompt Engineering Guide · recommended 1×
  3. LearnPrompting.org · recommended 1×
  4. Google's Prompt Engineering Guide · recommended 1×
  5. Prompt Engineering Subreddit (r/PromptEngineering) · recommended 1×
  • CATEGORY QUERY
    How can I effectively learn prompt engineering strategies for large language models?
    you: not recommended
    AI recommended (in order):
    1. OpenAI's Prompt Engineering Guide
    2. DeepLearning.AI's "Prompt Engineering for Developers" Course
    3. LearnPrompting.org
    4. Google's Prompt Engineering Guide
    5. Prompt Engineering Subreddit (r/PromptEngineering)
    6. "The Art of Prompt Engineering" by Prompt Engineering Institute
    7. LangChain

    AI recommended 7 alternatives but never named EgoAlpha/prompt-in-context-learning. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best resources for mastering in-context learning with modern LLMs?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Cookbook
    2. DeepLearning.AI's "Prompt Engineering for Developers" Course
    3. Anthropic's "Prompt Engineering" Guide
    4. LangChain Documentation
    5. "Prompt Engineering: A Comprehensive Guide" by Google
    6. Awesome-Prompt-Engineering GitHub Repository
    7. Hugging Face Transformers Documentation

    AI recommended 7 alternatives but never named EgoAlpha/prompt-in-context-learning. 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 EgoAlpha/prompt-in-context-learning?
    pass
    AI named EgoAlpha/prompt-in-context-learning explicitly

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

  • If a team adopts EgoAlpha/prompt-in-context-learning in production, what risks or prerequisites should they evaluate first?
    pass
    AI named EgoAlpha/prompt-in-context-learning 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 EgoAlpha/prompt-in-context-learning solve, and who is the primary audience?
    pass
    AI did not name EgoAlpha/prompt-in-context-learning — 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 EgoAlpha/prompt-in-context-learning. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/EgoAlpha/prompt-in-context-learning.svg)](https://repogeo.com/en/r/EgoAlpha/prompt-in-context-learning)
HTML
<a href="https://repogeo.com/en/r/EgoAlpha/prompt-in-context-learning"><img src="https://repogeo.com/badge/EgoAlpha/prompt-in-context-learning.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

EgoAlpha/prompt-in-context-learning — 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