RRepoGEO

REPOGEO REPORT · LITE

lasgroup/SDPO

Default branch main · commit c52586ba · scanned 6/4/2026, 5:48:35 PM

GitHub: 923 stars · 101 forks

AI VISIBILITY SCORE
40 /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
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 lasgroup/SDPO, 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
  • highabout#1
    Clarify the 'About' description to disambiguate SDPO

    Why:

    CURRENT
    Reinforcement Learning via Self-Distillation (SDPO)
    COPY-PASTE FIX
    Self-Distilled Policy Optimization (SDPO): Reinforcement Learning with Rich Feedback for LLMs
  • hightopics#2
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    distillation, llm, reasoning, rl
    COPY-PASTE FIX
    distillation, llm, reasoning, rl, rich-feedback, credit-assignment, policy-optimization, self-distillation-rl
  • mediumreadme#3
    Update README H1 to include key differentiators

    Why:

    CURRENT
    # Reinforcement Learning via Self-Distillation (SDPO)
    COPY-PASTE FIX
    # Self-Distilled Policy Optimization (SDPO): Reinforcement Learning with Rich Feedback for LLMs

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 lasgroup/SDPO
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI's API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI's API · recommended 2×
  2. Hugging Face Transformers · recommended 2×
  3. TRLX · recommended 1×
  4. 🤗 Transformers · recommended 1×
  5. LangChain · recommended 1×
  • CATEGORY QUERY
    How to improve credit assignment in reinforcement learning for LLMs using rich textual feedback?
    you: not recommended
    AI recommended (in order):
    1. OpenAI's API
    2. TRLX
    3. 🤗 Transformers
    4. Hugging Face Transformers
    5. LangChain
    6. LlamaIndex
    7. Argilla
    8. Anthropic's Claude API
    9. OpenAI's GPT-4
    10. Llama 3
    11. ESLint
    12. Pylint
    13. Gradio
    14. Streamlit

    AI recommended 14 alternatives but never named lasgroup/SDPO. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What techniques use self-distillation to enhance reinforcement learning for large language models?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. trl
    3. DeepMind's AlphaCode/AlphaGo-like architectures
    4. Anthropic's Constitutional AI
    5. RLAIF (Reinforcement Learning from AI Feedback)
    6. Hugging Face `transformers`
    7. accelerate
    8. DistilBERT
    9. TinyLlama
    10. OpenAI's API
    11. OpenAssistant
    12. Llama 2 70B
    13. Llama 2 7B
    14. Google's Self-Instruct
    15. Stable Baselines3

    AI recommended 15 alternatives but never named lasgroup/SDPO. 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 lasgroup/SDPO?
    pass
    AI named lasgroup/SDPO explicitly

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

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

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

Embed your GEO score

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lasgroup/SDPO — 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