RRepoGEO

REPOGEO REPORT · LITE

gavrielc/Nano-PDF

Default branch main · commit 9b9ddae5 · scanned 5/20/2026, 8:39:05 PM

GitHub: 1,290 stars · 88 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /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
2 / 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 gavrielc/Nano-PDF, 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 specific topics for AI-powered PDF editing

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    pdf-editor, natural-language-processing, ai-powered, cli-tool, gemini-pro, pdf-manipulation, document-editing
  • highabout#2
    Expand the About description to clarify AI-powered natural language editing

    Why:

    CURRENT
    Edit PDF files with Nano Banana
    COPY-PASTE FIX
    A CLI tool for AI-powered natural language editing of PDF slides, using Google's Gemini 3 Pro Image model.
  • mediumhomepage#3
    Add a homepage URL

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://github.com/gavrielc/Nano-PDF

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 gavrielc/Nano-PDF
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatPDF
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatPDF · recommended 1×
  2. Adobe Acrobat · recommended 1×
  3. PDFelement · recommended 1×
  4. Foxit PDF Editor · recommended 1×
  5. Hypotenuse AI · recommended 1×
  • CATEGORY QUERY
    How can I edit PDF documents using natural language prompts for quick changes?
    you: not recommended
    AI recommended (in order):
    1. ChatPDF
    2. Adobe Acrobat
    3. PDFelement
    4. Foxit PDF Editor
    5. Hypotenuse AI

    AI recommended 5 alternatives but never named gavrielc/Nano-PDF. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good command-line tools for AI-powered modifications to PDF presentations?
    you: not recommended
    AI recommended (in order):
    1. PyPDF2
    2. python-pptx
    3. Pillow
    4. transformers
    5. spaCy
    6. pdfminer.six
    7. fitz
    8. NLTK
    9. OpenCV
    10. scikit-image
    11. TensorFlow
    12. PyTorch
    13. unoconv
    14. LibreOffice
    15. OpenOffice
    16. pdftotext
    17. LaTeX
    18. Markdown
    19. HTML
    20. wkhtmltopdf
    21. pandoc
    22. pdflatex
    23. tesseract
    24. pdftoppm
    25. reportlab

    AI recommended 25 alternatives but never named gavrielc/Nano-PDF. 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 gavrielc/Nano-PDF?
    pass
    AI did not name gavrielc/Nano-PDF — 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 gavrielc/Nano-PDF in production, what risks or prerequisites should they evaluate first?
    pass
    AI named gavrielc/Nano-PDF 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 gavrielc/Nano-PDF solve, and who is the primary audience?
    pass
    AI named gavrielc/Nano-PDF explicitly

    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 gavrielc/Nano-PDF. 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)
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gavrielc/Nano-PDF — 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