RRepoGEO

REPOGEO REPORT · LITE

genesislab-io/beatai

Default branch main · commit ed18a087 · scanned 6/10/2026, 2:03:29 AM

GitHub: 4,680 stars · 257 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
35 /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
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 genesislab-io/beatai, 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's opening to clarify project purpose

    Why:

    CURRENT
    # BeatAI
    
    > 最近 30 天发布 · 完整列表见 <https://beatai.org/ai-insights>
    COPY-PASTE FIX
    # BeatAI: AI 入门圣经
    
    > 不玩晦涩不搞少数派的 AI 入门圣经,从学生到工程师都能轻松掌握。涵盖神经网络到大模型、顶层设计到微观原理、工程实现到算法基础。 学完后,大家能彻底看懂为什么下一 token 预测这个看似不起眼的能力可以改变世界,也能发现原来 AI 并没有想象中那么神秘、那么高不可攀。 Let's just beat it !
    
    最近 30 天发布 · 完整列表见 <https://beatai.org/ai-insights>
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a new file named `LICENSE` in the repository root with the text of a standard open-source license, such as the MIT License, to clearly define usage terms. Example MIT License content:
    
    MIT License
    
    Copyright (c) [YEAR] [COPYRIGHT HOLDER]
    
    Permission is hereby granted, free of charge, to any person obtaining a copy
    of this software and associated documentation files (the "Software"), to deal
    in the Software without restriction, including without limitation the rights
    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
    copies of the Software, and to permit persons to whom the Software is
    furnished to do so, subject to the following conditions:
    
    The above copyright notice and this permission notice shall be included in all
    copies or substantial portions of the Software.
    
    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
    LIABILITY, WHETHER IN AN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
    SOFTWARE.
  • mediumreadme#3
    Add a dedicated 'What is BeatAI?' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, perhaps after the initial repositioned H1 and description, titled 'What is BeatAI?' or '项目简介 (Project Introduction)'. This section should elaborate on the project's goals, target audience, and the scope of AI topics covered, drawing from the existing description and expanding on it to clearly define the resource.

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 genesislab-io/beatai
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Deep Learning Specialization by Andrew Ng
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Deep Learning Specialization by Andrew Ng · recommended 1×
  2. Neural Networks and Deep Learning by Michael Nielsen · recommended 1×
  3. Speech and Language Processing by Daniel Jurafsky and James H. Martin · recommended 1×
  4. Hugging Face's 🤗 Transformers Course · recommended 1×
  5. huggingface/transformers · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive guide to understand AI fundamentals and large language models?
    you: not recommended
    AI recommended (in order):
    1. Deep Learning Specialization by Andrew Ng
    2. Neural Networks and Deep Learning by Michael Nielsen
    3. Speech and Language Processing by Daniel Jurafsky and James H. Martin
    4. Hugging Face's 🤗 Transformers Course
    5. transformers (huggingface/transformers)
    6. The Illustrated Transformer by Jay Alammar
    7. Attention Is All You Need

    AI recommended 7 alternatives but never named genesislab-io/beatai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Explain the engineering principles behind AI systems, from neural networks to LLM applications.
    you: not recommended
    AI recommended (in order):
    1. Stochastic Gradient Descent (SGD)
    2. Adam
    3. RMSprop
    4. ReLU
    5. Sigmoid
    6. Tanh
    7. LSTMs
    8. GRUs
    9. PyTorch Distributed
    10. TensorFlow Distributed
    11. GPUs
    12. TPUs
    13. AWS
    14. Azure
    15. GCP
    16. SHAP
    17. LIME
    18. BLEU
    19. ROUGE

    AI recommended 19 alternatives but never named genesislab-io/beatai. 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 genesislab-io/beatai?
    pass
    AI named genesislab-io/beatai explicitly

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

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

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

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genesislab-io/beatai — 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