RRepoGEO

REPOGEO REPORT · LITE

beatai-org/beatai

Default branch main · commit 838719d2 · scanned 6/17/2026, 10:03:23 AM

GitHub: 4,685 stars · 257 forks

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 beatai-org/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
    Add a clear introductory paragraph to the README

    Why:

    COPY-PASTE FIX
    Add this text immediately after `# BeatAI`:
    
    `BeatAI 是一个不玩晦涩、不搞少数派的 AI 入门圣经,旨在帮助从学生到工程师的所有人轻松掌握人工智能。我们深入浅出地涵盖了从神经网络到大模型、从顶层设计到微观原理、从工程实现到算法基础的全面知识,助你彻底理解 AI 的核心奥秘,并发现它并非遥不可及。`
    
    (Translation: BeatAI is an accessible, non-esoteric AI introductory bible, designed to help everyone from students to engineers easily master artificial intelligence. We cover comprehensive knowledge from neural networks to large models, from top-level design to micro-principles, and from engineering implementation to algorithm basics, helping you thoroughly understand the core mysteries of AI and discover that it is not out of reach.)
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a file named `LICENSE` in the repository root with the following content (MIT License example):
    
    ```
    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 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.
    ```
  • mediumtopics#3
    Add topics emphasizing educational content and guides

    Why:

    CURRENT
    ai, ai-learning, engineering, llm, neural-network, transformer
    COPY-PASTE FIX
    ai, ai-learning, engineering, llm, neural-network, transformer, ai-guide, ai-education, machine-learning-guide

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 beatai-org/beatai
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow · recommended 3×
  2. Keras · recommended 2×
  3. The AI Engineer" Newsletter · recommended 1×
  4. Transformers library · recommended 1×
  5. Datasets library · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive guide to understand large language models and AI engineering?
    you: not recommended
    AI recommended (in order):
    1. The AI Engineer" Newsletter
    2. Transformers library
    3. Datasets library
    4. Tokenizers library

    AI recommended 4 alternatives but never named beatai-org/beatai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking resources to grasp AI fundamentals, from neural networks to practical engineering implementations.
    you: not recommended
    AI recommended (in order):
    1. TensorFlow
    2. Keras
    3. Scikit-Learn
    4. Keras
    5. TensorFlow
    6. PyTorch
    7. TensorFlow

    AI recommended 7 alternatives but never named beatai-org/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 beatai-org/beatai?
    pass
    AI named beatai-org/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 beatai-org/beatai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named beatai-org/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 beatai-org/beatai solve, and who is the primary audience?
    pass
    AI named beatai-org/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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beatai-org/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