RRepoGEO

REPOGEO REPORT · LITE

TracyWang95/DataInfra-RedactionEverything

Default branch main · commit 99fdcb46 · scanned 6/17/2026, 1:56:49 AM

GitHub: 768 stars · 112 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 TracyWang95/DataInfra-RedactionEverything, 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 improve categorization

    Why:

    COPY-PASTE FIX
    data-redaction, data-anonymization, sensitive-data, local-llm, vlm, document-processing, pdf-redaction, image-redaction, privacy, compliance, data-governance
  • highabout#2
    Expand the repository description for clarity

    Why:

    CURRENT
    DataInfra Series. Redact EVERYTHING with local llms and vlms.
    COPY-PASTE FIX
    DataInfra Series: A local-first redaction workbench for sensitive information in documents, PDFs, images, and text, powered by local LLMs and VLMs.
  • mediumhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/TracyWang95/DataInfra-RedactionEverything

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 TracyWang95/DataInfra-RedactionEverything
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DocuPhase
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DocuPhase · recommended 2×
  2. Kofax Capture · recommended 2×
  3. Nanonets OCR API · recommended 1×
  4. OpenCV · recommended 1×
  5. Tesseract OCR · recommended 1×
  • CATEGORY QUERY
    How to redact sensitive information from documents without using remote cloud APIs?
    you: not recommended
    AI recommended (in order):
    1. Nanonets OCR API
    2. OpenCV
    3. Tesseract OCR
    4. spaCy
    5. NLTK
    6. PyPDF2
    7. ReportLab
    8. DocuPhase
    9. ABBYY FineReader Server
    10. Kofax Capture
    11. PDFTron SDK

    AI recommended 11 alternatives but never named TracyWang95/DataInfra-RedactionEverything. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools can anonymize sensitive data across various document types like PDFs and images?
    you: not recommended
    AI recommended (in order):
    1. Redact.dev
    2. Adobe Acrobat Pro DC
    3. Microsoft Purview Information Protection
    4. OpenText IDOL
    5. DocuPhase
    6. Kofax Capture
    7. Kofax Transformation Modules
    8. Nanonets

    AI recommended 8 alternatives but never named TracyWang95/DataInfra-RedactionEverything. 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 TracyWang95/DataInfra-RedactionEverything?
    pass
    AI did not name TracyWang95/DataInfra-RedactionEverything — 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 TracyWang95/DataInfra-RedactionEverything in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TracyWang95/DataInfra-RedactionEverything 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 TracyWang95/DataInfra-RedactionEverything solve, and who is the primary audience?
    pass
    AI did not name TracyWang95/DataInfra-RedactionEverything — 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?

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TracyWang95/DataInfra-RedactionEverything — 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