RRepoGEO

REPOGEO REPORT · LITE

hades217/awesome-ai

Default branch master · commit 0d97f553 · scanned 5/31/2026, 11:27:58 PM

GitHub: 543 stars · 125 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 hades217/awesome-ai, 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
  • hightopics#1
    Add specific 'list' and 'tool' topics to improve categorization

    Why:

    CURRENT
    artificial-intelligence, chatbot, data-science, deep-learning, machine-learning, neural-network, reinforcement-learning, voice-assistant
    COPY-PASTE FIX
    artificial-intelligence, chatbot, data-science, deep-learning, machine-learning, neural-network, reinforcement-learning, voice-assistant, awesome-list, curated-list, ai-resources, ai-tools, llm-models, agent-frameworks, ai-coding
  • highreadme#2
    Reposition the README's opening to highlight its value as a recommendation source

    Why:

    CURRENT
    > A community-curated list of artificial intelligence resources — foundation models, agent frameworks, AI coding tools, courses, companies, jobs, and country-specific AI scenes (USA, China, Australia, Malaysia, Singapore).
    COPY-PASTE FIX
    > **Find the best foundation models, agent frameworks, AI coding tools, and essential AI resources** with this community-curated, actively maintained list. We prioritize practical applications, quality, and conciseness over exhaustiveness, updated quarterly since 2017.
  • mediumabout#3
    Refine the GitHub repository description for clarity and specificity

    Why:

    CURRENT
    A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)
    COPY-PASTE FIX
    A community-curated guide to the best foundation models, AI coding tools, agent frameworks, and essential AI resources. Updated quarterly.

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 hades217/awesome-ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AI for Everyone (Coursera)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AI for Everyone (Coursera) · recommended 1×
  2. Learn with Google AI · recommended 1×
  3. Elements of AI · recommended 1×
  4. Machine Learning by Andrew Ng (Coursera) · recommended 1×
  5. Octave/MATLAB · recommended 1×
  • CATEGORY QUERY
    I need a curated list of artificial intelligence resources and learning materials.
    you: not recommended
    AI recommended (in order):
    1. AI for Everyone (Coursera)
    2. Learn with Google AI
    3. Elements of AI
    4. Machine Learning by Andrew Ng (Coursera)
    5. Octave/MATLAB
    6. Python
    7. Practical Deep Learning for Coders (fast.ai)
    8. fastai library (fastai/fastai)
    9. PyTorch (pytorch/pytorch)
    10. Kaggle Learn
    11. Pandas (pandas-dev/pandas)
    12. Scikit-learn (scikit-learn/scikit-learn)
    13. TensorFlow (tensorflow/tensorflow)
    14. Deep Learning Specialization by Andrew Ng (Coursera)
    15. Keras (keras-team/keras)
    16. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (Book)
    17. Deep Learning Book

    AI recommended 17 alternatives but never named hades217/awesome-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking recommendations for top frontier models, open-weight LLMs, and AI coding tools.
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. Gemini 1.5 Pro
    4. Llama 3
    5. Mixtral 8x7B
    6. Gemma
    7. Phi-3 Mini
    8. Falcon 180B
    9. GitHub Copilot
    10. Cursor
    11. Tabnine
    12. Codeium
    13. Amazon CodeWhisperer
    14. Cody

    AI recommended 14 alternatives but never named hades217/awesome-ai. 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 hades217/awesome-ai?
    pass
    AI did not name hades217/awesome-ai — 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 hades217/awesome-ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hades217/awesome-ai 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 hades217/awesome-ai solve, and who is the primary audience?
    pass
    AI did not name hades217/awesome-ai — 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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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite