RRepoGEO

REPOGEO REPORT · LITE

yizhongw/self-instruct

Default branch main · commit 0b26ccaa · scanned 6/19/2026, 12:18:02 PM

GitHub: 4,598 stars · 521 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 yizhongw/self-instruct, 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 more specific topics to improve categorization

    Why:

    CURRENT
    general-purpose-model, instruction-tuning, language-model
    COPY-PASTE FIX
    general-purpose-model, instruction-tuning, language-model, synthetic-data-generation, bootstrapping, self-supervised-learning
  • mediumreadme#2
    Refine README H1 to emphasize framework for self-generated data

    Why:

    CURRENT
    # Self-Instruct: Aligning LM with Self Generated Instructions
    COPY-PASTE FIX
    # Self-Instruct: A Framework for Self-Generated Instruction Data
  • lowhomepage#3
    Add a homepage link to the repository metadata

    Why:

    COPY-PASTE FIX
    https://selfinstruct.github.io/

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 yizhongw/self-instruct
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Self-Refine
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Self-Refine · recommended 1×
  2. Reflexion · recommended 1×
  3. CRITIC · recommended 1×
  4. Constitutional AI · recommended 1×
  5. GPT-4 · recommended 1×
  • CATEGORY QUERY
    How can I improve language model instruction following without human-annotated datasets?
    you: not recommended
    AI recommended (in order):
    1. Self-Refine
    2. Reflexion
    3. CRITIC
    4. Constitutional AI
    5. GPT-4
    6. Self-Consistency
    7. Claude 3 Opus
    8. Instruction-Tuning without Instructions (ITWI)

    AI recommended 8 alternatives but never named yizhongw/self-instruct. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What methods exist for generating instruction-tuning data using an LLM itself?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic Claude
    3. Google Gemini
    4. Mistral AI
    5. Llama 3
    6. Hugging Face Transformers (huggingface/transformers)
    7. NLLB
    8. Flan-T5
    9. Llama 2
    10. EleutherAI

    AI recommended 10 alternatives but never named yizhongw/self-instruct. 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 yizhongw/self-instruct?
    pass
    AI named yizhongw/self-instruct explicitly

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

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

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

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yizhongw/self-instruct — 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