RRepoGEO

REPOGEO REPORT · LITE

dnobori/DN_SuperBook_PDF_Converter

Default branch master · commit e0e2cec9 · scanned 6/15/2026, 6:56:43 AM

GitHub: 870 stars · 51 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 dnobori/DN_SuperBook_PDF_Converter, 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 English topics to improve categorization

    Why:

    COPY-PASTE FIX
    pdf-converter, ocr, scanned-documents, readability-enhancement, ai-tools, document-processing, markdown-conversion, html-conversion, japanese-ocr
  • highreadme#2
    Add a concise English summary at the top of the README

    Why:

    COPY-PASTE FIX
    <!-- Add this line at the very top of your README, before the existing Japanese title -->
This tool enhances scanned book PDFs for readability, performs AI-OCR (Japanese-compatible), and converts them to searchable PDFs, Markdown, HTML, or JSON.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/dnobori/DN_SuperBook_PDF_Converter (or a more specific project page if one exists)

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 dnobori/DN_SuperBook_PDF_Converter
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Adobe Acrobat Pro DC
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Adobe Acrobat Pro DC · recommended 2×
  2. iLovePDF · recommended 2×
  3. ABBYY FineReader PDF · recommended 1×
  4. Kofax Power PDF · recommended 1×
  5. PDF-XChange Editor · recommended 1×
  • CATEGORY QUERY
    How can I enhance scanned PDF document readability and add searchable text layers?
    you: not recommended
    AI recommended (in order):
    1. Adobe Acrobat Pro DC
    2. ABBYY FineReader PDF
    3. Kofax Power PDF
    4. PDF-XChange Editor
    5. Tesseract OCR
    6. OCRmyPDF
    7. Smallpdf
    8. iLovePDF
    9. Adobe Acrobat online

    AI recommended 9 alternatives but never named dnobori/DN_SuperBook_PDF_Converter. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools convert scanned book PDFs to markdown or HTML with OCR for better accessibility?
    you: not recommended
    AI recommended (in order):
    1. Adobe Acrobat Pro DC
    2. ABBYY FineReader
    3. Tesseract OCR (tesseract-ocr/tesseract)
    4. OnlineOCR.net
    5. Convertio
    6. iLovePDF
    7. Pandoc (jgm/pandoc)

    AI recommended 7 alternatives but never named dnobori/DN_SuperBook_PDF_Converter. 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 dnobori/DN_SuperBook_PDF_Converter?
    pass
    AI did not name dnobori/DN_SuperBook_PDF_Converter — 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 dnobori/DN_SuperBook_PDF_Converter in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dnobori/DN_SuperBook_PDF_Converter 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 dnobori/DN_SuperBook_PDF_Converter solve, and who is the primary audience?
    pass
    AI did not name dnobori/DN_SuperBook_PDF_Converter — 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

Drop this badge into the README of dnobori/DN_SuperBook_PDF_Converter. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/dnobori/DN_SuperBook_PDF_Converter.svg)](https://repogeo.com/en/r/dnobori/DN_SuperBook_PDF_Converter)
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<a href="https://repogeo.com/en/r/dnobori/DN_SuperBook_PDF_Converter"><img src="https://repogeo.com/badge/dnobori/DN_SuperBook_PDF_Converter.svg" alt="RepoGEO" /></a>
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dnobori/DN_SuperBook_PDF_Converter — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite