RRepoGEO

REPOGEO REPORT · LITE

hitsz-ids/synthetic-data-generator

Default branch main · commit f3684582 · scanned 5/16/2026, 3:21:45 PM

GitHub: 2,419 stars · 389 forks

AI VISIBILITY SCORE
22 /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
1 / 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 hitsz-ids/synthetic-data-generator, 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
  • highreadme#1
    Reposition README's opening to highlight core features

    Why:

    CURRENT
    # 🚀 Synthetic Data Generator
    COPY-PASTE FIX
    Add the following line immediately after `# 🚀 Synthetic Data Generator`: `A specialized framework for generating high-quality, privacy-preserving structured tabular data.`
  • mediumhomepage#2
    Add homepage URL to the repository's "About" section

    Why:

    COPY-PASTE FIX
    https://synthetic-data-generator.readthedocs.io/en/latest/
  • mediumtopics#3
    Add "differential-privacy" to repository topics

    Why:

    CURRENT
    agent, data-generator, deep-learning, gan, generative-ai, llm, machine-learning, privacy, synthetic-data, tabular-data
    COPY-PASTE FIX
    agent, data-generator, deep-learning, gan, generative-ai, llm, machine-learning, privacy, differential-privacy, synthetic-data, tabular-data

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 hitsz-ids/synthetic-data-generator
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Synthetic Data Vault (SDV)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Synthetic Data Vault (SDV) · recommended 1×
  2. Faker · recommended 1×
  3. Synthesized · recommended 1×
  4. CTGAN (Conditional Tabular Generative Adversarial Network) · recommended 1×
  5. DataSynthesizer · recommended 1×
  • CATEGORY QUERY
    How to generate realistic structured tabular data for machine learning model training and testing?
    you: not recommended
    AI recommended (in order):
    1. Synthetic Data Vault (SDV)
    2. Faker
    3. Synthesized
    4. CTGAN (Conditional Tabular Generative Adversarial Network)
    5. DataSynthesizer
    6. MOSTLY AI
    7. TGAN (Tabular Generative Adversarial Network)

    AI recommended 7 alternatives but never named hitsz-ids/synthetic-data-generator. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help create high-quality synthetic data while preserving privacy for tabular datasets?
    you: not recommended
    AI recommended (in order):
    1. Gretel.ai
    2. SynthAI
    3. SDV
    4. Synthetic Data Generator
    5. SmartNoise
    6. CTGAN

    AI recommended 6 alternatives but never named hitsz-ids/synthetic-data-generator. 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 hitsz-ids/synthetic-data-generator?
    pass
    AI did not name hitsz-ids/synthetic-data-generator — 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 hitsz-ids/synthetic-data-generator in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hitsz-ids/synthetic-data-generator 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 hitsz-ids/synthetic-data-generator solve, and who is the primary audience?
    pass
    AI did not name hitsz-ids/synthetic-data-generator — 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

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MARKDOWN (README)
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hitsz-ids/synthetic-data-generator — 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