RRepoGEO

REPOGEO REPORT · LITE

Docta-ai/docta

Default branch master · commit cfbc9aef · scanned 5/28/2026, 1:18:12 AM

GitHub: 3,482 stars · 256 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 Docta-ai/docta, 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 H1 and opening paragraph for ML data quality

    Why:

    CURRENT
    # Docta: A Doctor for your Data  
Docta is an advanced data-centric AI platform that offers a comprehensive range of services aimed at detecting and rectifying issues in your data.
    COPY-PASTE FIX
    # Docta: An Open-Source Platform for ML Data Diagnosis & Curation
Docta is an advanced open-source platform designed for comprehensive diagnosis, curation, and improvement of machine learning datasets. It helps detect and rectify quality issues across tabular, text, image, and embedding data, ensuring healthier data for better model performance.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://docta.ai
  • mediumtopics#3
    Expand repository topics for better categorization

    Why:

    CURRENT
    data, data-centric-ai, data-centric-machine-learning, data-curation, data-diagnosis, language-model, rlhf
    COPY-PASTE FIX
    data, data-centric-ai, data-centric-machine-learning, data-curation, data-diagnosis, language-model, rlhf, data-quality, data-profiling, data-validation, ml-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 Docta-ai/docta
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Great Expectations
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Great Expectations · recommended 1×
  2. Pandas Profiling · recommended 1×
  3. Deepchecks · recommended 1×
  4. Cleanlab · recommended 1×
  5. DataRobot · recommended 1×
  • CATEGORY QUERY
    How can I automatically diagnose and fix quality issues in my machine learning datasets?
    you: not recommended
    AI recommended (in order):
    1. Great Expectations
    2. Pandas Profiling
    3. Deepchecks
    4. Cleanlab
    5. DataRobot
    6. Trifacta Data Wrangler
    7. Google Cloud Dataflow
    8. OpenRefine

    AI recommended 8 alternatives but never named Docta-ai/docta. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for open-source tools to curate and improve data quality across various data types.
    you: not recommended
    AI recommended (in order):
    1. OpenRefine (OpenRefine/OpenRefine)
    2. Apache Nifi (apache/nifi)
    3. Great Expectations (great-expectations/great_expectations)
    4. Deequ (awslabs/deequ)
    5. Apache Atlas (apache/atlas)
    6. DataCleaner (datacleaner/DataCleaner)

    AI recommended 6 alternatives but never named Docta-ai/docta. 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 Docta-ai/docta?
    pass
    AI named Docta-ai/docta explicitly

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

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