RRepoGEO

REPOGEO REPORT · LITE

swyxio/ai-notes

Default branch main · commit d116f04c · scanned 5/8/2026, 10:27:48 PM

GitHub: 6,212 stars · 552 forks

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 swyxio/ai-notes, 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 H1 and opening paragraph to clarify purpose

    Why:

    CURRENT
    # AI Notes
    
    notes on AI state of the art, with a focus on generative and large language models. These are the "raw materials" for the https://lspace.swyx.io/ newsletter.
    
    > This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.
    COPY-PASTE FIX
    # AI Engineering Notes: A Curated Knowledge Base
    
    This repository serves as a living, curated knowledge base for software engineers getting up to speed on new AI developments, with a focus on generative and large language models. It contains my personal, synthesized notes on the AI state of the art, which also serve as raw materials for the https://lspace.swyx.io/ newsletter.
    
    > This repo used to be called https://github.com/sw-yx/prompt-eng, but was renamed because Prompt Engineering is Overhyped. This is now an AI Engineering notes repo.
  • mediumtopics#2
    Expand Topics to clarify category and format

    Why:

    CURRENT
    ai, gpt, gpt-3, multimodal, openai, prompt-engineering, stable-diffusion
    COPY-PASTE FIX
    ai, gpt, gpt-3, multimodal, openai, prompt-engineering, stable-diffusion, ai-engineering, knowledge-base, curated-notes, developer-resources, ai-research-notes, generative-ai
  • mediumreadme#3
    Add a 'What this repo is (and isn't)' section to the README

    Why:

    COPY-PASTE FIX
    ## What this repo is (and isn't)
    
    This repository is a personal, opinionated collection of notes and insights for AI engineers, designed to help you navigate the rapidly evolving AI landscape. It is *not* a news feed, an academic paper aggregator, or a general AI blog. Instead, it offers synthesized knowledge and canonical references, particularly under the `/Resources` folder, to provide a structured understanding of key AI developments.

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 swyxio/ai-notes
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
The Batch
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. The Batch · recommended 2×
  2. Hugging Face Blog · recommended 2×
  3. Google AI Blog · recommended 2×
  4. Meta AI Blog · recommended 2×
  5. Papers With Code · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive notes on the latest advancements in AI engineering?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. arXiv.org
    3. Distill.pub
    4. The Batch
    5. Hugging Face Blog
    6. Google AI Blog
    7. Meta AI Blog
    8. Microsoft Research Blog
    9. Towards Data Science

    AI recommended 9 alternatives but never named swyxio/ai-notes. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I stay updated on generative AI models and best practices for various modalities?
    you: not recommended
    AI recommended (in order):
    1. Google AI Blog
    2. OpenAI Blog
    3. Meta AI Blog
    4. Hugging Face Blog
    5. Transformers library
    6. The Batch
    7. DeepLearning.AI
    8. AI Explained
    9. Import AI
    10. Generative AI with Large Language Models
    11. Diffusion Models for Generative AI
    12. fast.ai
    13. edX
    14. MITx
    15. HarvardX AI courses
    16. Hugging Face Community Forums
    17. Reddit
    18. r/MachineLearning
    19. r/DeepLearning
    20. r/GenerativeAI
    21. Stability AI
    22. Midjourney
    23. NeurIPS
    24. ICML
    25. CVPR
    26. ACL

    AI recommended 26 alternatives but never named swyxio/ai-notes. 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 swyxio/ai-notes?
    pass
    AI named swyxio/ai-notes explicitly

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

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