RRepoGEO

REPOGEO REPORT · LITE

DataArcTech/DataArc-SynData-Toolkit

Default branch main · commit b6f0b97e · scanned 5/8/2026, 1:32:44 PM

GitHub: 1,733 stars · 69 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 DataArcTech/DataArc-SynData-Toolkit, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify README tagline to emphasize LLM training data generation

    Why:

    CURRENT
    A modular, highly user-friendly synthetic data generation toolkit supporting multi-source, multi-language data synthesis.
    COPY-PASTE FIX
    A modular, highly user-friendly toolkit for generating synthetic *training data for LLMs*, supporting multi-source, multi-language data synthesis.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0) to clarify usage rights.

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 DataArcTech/DataArc-SynData-Toolkit
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT · recommended 1×
  2. GPT-4 · recommended 1×
  3. OpenAI Playground · recommended 1×
  4. Humanloop · recommended 1×
  5. Vellum · recommended 1×
  • CATEGORY QUERY
    How to easily generate synthetic training data for large language models without coding?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. GPT-4
    3. OpenAI Playground
    4. Humanloop
    5. Vellum
    6. LlamaIndex
    7. Hugging Face Spaces
    8. Google Cloud Vertex AI
    9. Generative AI Studio
    10. PaLM 2
    11. Microsoft Azure OpenAI Service
    12. GPT-3.5
    13. NLPAug
    14. TextAttack

    AI recommended 14 alternatives but never named DataArcTech/DataArc-SynData-Toolkit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good tools for multi-source synthetic data generation with a user-friendly interface?
    you: not recommended
    AI recommended (in order):
    1. Mostly AI
    2. Synthesized
    3. Tonic.ai
    4. Hazy
    5. Gretel.ai
    6. SDV (Synthetic Data Vault) (sdv-dev/SDV)

    AI recommended 6 alternatives but never named DataArcTech/DataArc-SynData-Toolkit. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 DataArcTech/DataArc-SynData-Toolkit?
    pass
    AI named DataArcTech/DataArc-SynData-Toolkit explicitly

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

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

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

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MARKDOWN (README)
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DataArcTech/DataArc-SynData-Toolkit — 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