RRepoGEO

REPOGEO REPORT · LITE

xberg-io/xberg

Default branch main · commit e5ac2c8e · scanned 6/28/2026, 10:11:20 AM

GitHub: 8,565 stars · 506 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 xberg-io/xberg, 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
    Add a clear, concise introductory sentence to the README

    Why:

    CURRENT
    The README currently starts with just '# Xberg' followed by badges.
    COPY-PASTE FIX
    # Xberg

Xberg is a polyglot document intelligence framework with a Rust core, designed for extracting text, metadata, images, and structured information from over 97 document formats.
  • mediumreadme#2
    Explicitly list supported languages and integration methods in the README's introduction

    Why:

    COPY-PASTE FIX
    It offers bindings for Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, and TypeScript (Node/Bun/Wasm/Deno), and can also be used via CLI, REST API, or MCP server.
  • lowtopics#3
    Add more specific document processing and intelligence topics

    Why:

    CURRENT
    bun, csharp, document-intelligence, elixir, ffi, golang, java, metadata-extraction, node, pdf-extraction, pdfium, php, python, rag, ruby, rust, table-extraction, tesseract, text-extraction, wasm
    COPY-PASTE FIX
    bun, csharp, document-intelligence, elixir, ffi, golang, java, metadata-extraction, node, pdf-extraction, pdfium, php, python, rag, ruby, rust, table-extraction, tesseract, text-extraction, wasm, document-parsing, ocr, information-extraction, document-processing, content-extraction

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 xberg-io/xberg
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Apache Tika
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Apache Tika · recommended 2×
  2. Unstructured-IO/unstructured · recommended 1×
  3. pymupdf/PyMuPDF · recommended 1×
  4. pandas-dev/pandas · recommended 1×
  5. pdfminer/pdfminer.six · recommended 1×
  • CATEGORY QUERY
    How to extract structured data from diverse document formats using a single library?
    you: not recommended
    AI recommended (in order):
    1. Apache Tika
    2. Unstructured.io (Unstructured-IO/unstructured)
    3. PyMuPDF (Fitz) (pymupdf/PyMuPDF)
    4. Pandas (pandas-dev/pandas)
    5. pdfminer.six (pdfminer/pdfminer.six)
    6. Beautiful Soup 4 (BS4) (BeautifulSoup/bs4)
    7. lxml (lxml/lxml)
    8. OpenPyXL (python-openpyxl/openpyxl)
    9. python-docx (python-openxml/python-docx)
    10. python-pptx (python-openxml/python-pptx)

    AI recommended 10 alternatives but never named xberg-io/xberg. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's a good cross-language tool for text and metadata extraction from PDFs?
    you: not recommended
    AI recommended (in order):
    1. Apache Tika
    2. PDFMiner.six
    3. Poppler
    4. Tabula-py
    5. Adobe PDF Extract API
    6. Aspose.PDF
    7. PDF.js

    AI recommended 7 alternatives but never named xberg-io/xberg. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 xberg-io/xberg?
    pass
    AI named xberg-io/xberg explicitly

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

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