RRepoGEO

REPOGEO REPORT · LITE

AmbroseX/Awesome-AISourceHub

Default branch main · commit 0d68081e · scanned 5/13/2026, 11:22:34 PM

GitHub: 1,717 stars · 101 forks

AI VISIBILITY SCORE
27 /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
1 / 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 AmbroseX/Awesome-AISourceHub, 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 to clarify its role as a curated directory

    Why:

    CURRENT
    # Awesome-AISourceHub
    COPY-PASTE FIX
    # Awesome-AISourceHub: 精选AI科技信息源目录
  • mediumtopics#2
    Refine and expand repository topics for better categorization

    Why:

    CURRENT
    ai, awesome, hub, infomation, knowledge, source, technology, twitter, wechat
    COPY-PASTE FIX
    ai, awesome, hub, information, knowledge, source, technology, twitter, wechat, curated-list, ai-news, ai-updates, resource-hub, directory
  • lowreadme#3
    Add a section to README clarifying the repo's unique value

    Why:

    COPY-PASTE FIX
    ## 本仓库的独特之处

本仓库专注于收集和整理来自多平台（如社交媒体、博客、学术网站）的AI科技信息源，旨在提供一个精选的、避免信息差和信息茧房的资源目录，而非直接提供论文、工具或原创博客内容。

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 AmbroseX/Awesome-AISourceHub
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google AI Blog
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google AI Blog · recommended 2×
  2. arXiv.org · recommended 2×
  3. Awesome AI/ML/DL GitHub Repositories · recommended 1×
  4. Papers With Code · recommended 1×
  5. Towards Data Science · recommended 1×
  • CATEGORY QUERY
    Where can I find curated lists of high-quality information sources for AI technology?
    you: not recommended
    AI recommended (in order):
    1. Awesome AI/ML/DL GitHub Repositories
    2. Papers With Code
    3. Towards Data Science
    4. Kaggle Learn
    5. AI Alignment Forum
    6. LessWrong
    7. Google AI Blog
    8. Meta AI Blog
    9. OpenAI Blog
    10. arXiv.org
    11. arXiv Sanity Preserver (karpathy/arxiv-sanity-preserver)

    AI recommended 11 alternatives but never named AmbroseX/Awesome-AISourceHub. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best platforms and channels to stay updated on AI advancements?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Google AI Blog
    3. DeepMind Blog
    4. Hugging Face Blog
    5. Papers with Code
    6. The Batch
    7. DeepLearning.AI
    8. Twitter (X)
    9. Reddit
    10. r/MachineLearning
    11. r/DeepLearning
    12. MIT Technology Review
    13. The Download Newsletter

    AI recommended 13 alternatives but never named AmbroseX/Awesome-AISourceHub. 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 AmbroseX/Awesome-AISourceHub?
    pass
    AI did not name AmbroseX/Awesome-AISourceHub — 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?

  • If a team adopts AmbroseX/Awesome-AISourceHub in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AmbroseX/Awesome-AISourceHub 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 AmbroseX/Awesome-AISourceHub solve, and who is the primary audience?
    pass
    AI did not name AmbroseX/Awesome-AISourceHub — 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 AmbroseX/Awesome-AISourceHub. 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/AmbroseX/Awesome-AISourceHub.svg)](https://repogeo.com/en/r/AmbroseX/Awesome-AISourceHub)
HTML
<a href="https://repogeo.com/en/r/AmbroseX/Awesome-AISourceHub"><img src="https://repogeo.com/badge/AmbroseX/Awesome-AISourceHub.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

AmbroseX/Awesome-AISourceHub — 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