RRepoGEO

REPOGEO REPORT · LITE

RedditSota/state-of-the-art-result-for-machine-learning-problems

Default branch master · commit 56914c25 · scanned 5/30/2026, 4:53:20 PM

GitHub: 8,906 stars · 1,300 forks

AI VISIBILITY SCORE
15 /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
0 / 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 RedditSota/state-of-the-art-result-for-machine-learning-problems, 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.

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 RedditSota/state-of-the-art-result-for-machine-learning-problems
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Azure AI Speech
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Azure AI Speech · recommended 2×
  2. Papers With Code · recommended 1×
  3. Hugging Face Leaderboards · recommended 1×
  4. MLPerf · recommended 1×
  5. arXiv · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of state-of-the-art results for various machine learning tasks?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. Hugging Face Leaderboards
    3. MLPerf
    4. arXiv
    5. GitHub Awesome Lists
    6. Towards Data Science

    AI recommended 6 alternatives but never named RedditSota/state-of-the-art-result-for-machine-learning-problems. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the current best-performing models and benchmarks across different AI domains?
    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. Stable Diffusion XL
    7. Midjourney v6
    8. DALL-E 3
    9. SDXL Turbo
    10. DeepFloyd IF
    11. Sora
    12. Pika Labs
    13. RunwayML Gen-2
    14. Stable Video Diffusion
    15. Google Lumiere
    16. Whisper Large v3
    17. Google Cloud Speech-to-Text
    18. Azure AI Speech
    19. AssemblyAI
    20. DeepSpeech
    21. ElevenLabs Prime Voice AI
    22. Google Cloud Text-to-Speech
    23. Azure AI Speech
    24. Meta Voicebox
    25. Bark
    26. AlphaZero
    27. PPO (Proximal Policy Optimization)
    28. SAC (Soft Actor-Critic)
    29. DQN (Deep Q-Network)
    30. DreamerV3

    AI recommended 30 alternatives but never named RedditSota/state-of-the-art-result-for-machine-learning-problems. 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 RedditSota/state-of-the-art-result-for-machine-learning-problems?
    pass
    AI did not name RedditSota/state-of-the-art-result-for-machine-learning-problems — 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 RedditSota/state-of-the-art-result-for-machine-learning-problems in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name RedditSota/state-of-the-art-result-for-machine-learning-problems — 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?

  • In one sentence, what problem does the repo RedditSota/state-of-the-art-result-for-machine-learning-problems solve, and who is the primary audience?
    pass
    AI did not name RedditSota/state-of-the-art-result-for-machine-learning-problems — 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 RedditSota/state-of-the-art-result-for-machine-learning-problems. 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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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite