RRepoGEO

REPOGEO REPORT · LITE

teknium1/GPTeacher

Default branch main · commit 48107512 · scanned 5/28/2026, 5:03:34 PM

GitHub: 1,656 stars · 169 forks

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 teknium1/GPTeacher, 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 relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    llm, dataset, gpt4, instruction-tuning, fine-tuning, roleplay, code-generation, chain-of-thought, alpaca-dataset, toolformer
  • mediumreadme#2
    Add an explicit use-case statement to the README's opening

    Why:

    CURRENT
    A collection of modular datasets generated by GPT-4, General-Instruct - Roleplay-Instruct - Code-Instruct - and Toolformer
    COPY-PASTE FIX
    A collection of modular datasets generated by GPT-4, General-Instruct - Roleplay-Instruct - Code-Instruct - and Toolformer. These datasets are specifically designed for fine-tuning large language models (LLMs) to improve their instruction-following, roleplay, code generation, and reasoning capabilities.
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://github.com/teknium1/GPTeacher (or a dedicated project/Hugging Face dataset page if available)

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 teknium1/GPTeacher
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Alpaca
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Alpaca · recommended 2×
  2. ShareGPT · recommended 2×
  3. Dolly 2.0 · recommended 1×
  4. OpenAssistant Conversations Dataset · recommended 1×
  5. FLAN · recommended 1×
  • CATEGORY QUERY
    Where can I find high-quality, diverse instruction datasets for fine-tuning large language models?
    you: not recommended
    AI recommended (in order):
    1. Alpaca
    2. ShareGPT
    3. Dolly 2.0
    4. OpenAssistant Conversations Dataset
    5. FLAN
    6. P3
    7. Self-Instruct

    AI recommended 7 alternatives but never named teknium1/GPTeacher. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need datasets for training AI models on roleplay, code generation, or chain-of-thought reasoning tasks.
    you: not recommended
    AI recommended (in order):
    1. ShareGPT
    2. Alpaca
    3. Stanford Alpaca
    4. Code Alpaca
    5. WizardCoder
    6. StarCoder
    7. GSM8K
    8. BIG-bench
    9. MultiArith
    10. AquaRat
    11. StrategyQA
    12. HumanEval
    13. MBPP

    AI recommended 13 alternatives but never named teknium1/GPTeacher. 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 teknium1/GPTeacher?
    pass
    AI named teknium1/GPTeacher explicitly

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

  • If a team adopts teknium1/GPTeacher in production, what risks or prerequisites should they evaluate first?
    pass
    AI named teknium1/GPTeacher 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 teknium1/GPTeacher solve, and who is the primary audience?
    pass
    AI named teknium1/GPTeacher 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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teknium1/GPTeacher — 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