RRepoGEO

REPOGEO REPORT · LITE

shenweichen/AlgoNotes

Default branch main · commit 892f0d01 · scanned 6/30/2026, 7:03:11 PM

GitHub: 1,824 stars · 243 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
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
3 / 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 shenweichen/AlgoNotes, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add a clear introductory sentence to the README

    Why:

    CURRENT
    # 浅梦学习笔记 公众号文章汇总
    COPY-PASTE FIX
    # 浅梦学习笔记 公众号文章汇总

本仓库是「浅梦学习笔记」公众号文章的精选汇总，涵盖推荐系统、计算广告、机器学习、深度学习、特征工程、图算法、NLP、CV、大数据以及求职面试等领域的学习笔记与技术实践。
  • highlicense#2
    Add a LICENSE file to clarify usage rights

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the root directory of the repository. Choose an appropriate open-source license (e.g., MIT, Apache-2.0, or CC-BY-4.0 for content) and add its text to the file.

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 shenweichen/AlgoNotes
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Recommender Systems Handbook
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Recommender Systems Handbook · recommended 1×
  2. Feature Engineering for Machine Learning · recommended 1×
  3. Deep Learning · recommended 1×
  4. Computational Advertising · recommended 1×
  5. Deep Learning Specialization · recommended 1×
  • CATEGORY QUERY
    Seeking comprehensive learning resources on recommendation systems, feature engineering, and computational advertising.
    you: not recommended
    AI recommended (in order):
    1. Recommender Systems Handbook
    2. Feature Engineering for Machine Learning
    3. Deep Learning
    4. Computational Advertising
    5. Deep Learning Specialization
    6. Mining of Massive Datasets
    7. Rules of Machine Learning: Best Practices for ML Engineering

    AI recommended 7 alternatives but never named shenweichen/AlgoNotes. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find detailed notes on graph algorithms, NLP, and preparing for ML interviews?
    you: not recommended
    AI recommended (in order):
    1. Grokking Algorithms
    2. Stanford CS224N: Natural Language Processing with Deep Learning
    3. Cracking the Coding Interview
    4. Machine Learning System Design Interview
    5. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
    6. LeetCode
    7. Towards Data Science

    AI recommended 7 alternatives but never named shenweichen/AlgoNotes. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 shenweichen/AlgoNotes?
    pass
    AI named shenweichen/AlgoNotes explicitly

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

  • If a team adopts shenweichen/AlgoNotes in production, what risks or prerequisites should they evaluate first?
    pass
    AI named shenweichen/AlgoNotes 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 shenweichen/AlgoNotes solve, and who is the primary audience?
    pass
    AI named shenweichen/AlgoNotes explicitly

    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 shenweichen/AlgoNotes. 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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shenweichen/AlgoNotes — 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