RRepoGEO

REPOGEO REPORT · LITE

kreuzberg-dev/kreuzberg

Default branch main · commit 5adb9e90 · scanned 5/27/2026, 10:07:16 AM

GitHub: 8,397 stars · 495 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 kreuzberg-dev/kreuzberg, 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 the README's opening to clearly state the project's purpose

    Why:

    CURRENT
    # Kreuzberg
    COPY-PASTE FIX
    # Kreuzberg: A Polyglot Document Intelligence Framework
Extract text, metadata, images, and structured information from PDFs, Office documents, images, and 97+ formats. Available for Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, TypeScript (Node/Bun/Wasm/Deno)- or use via CLI, REST API, or MCP server.
  • hightopics#2
    Add more specific document intelligence and RAG-related 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-processing, ocr, information-extraction, data-extraction, ai-framework, multi-format, cross-platform
  • mediumlicense#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License
Kreuzberg is licensed under [Specify the actual license(s) here, e.g., 'a custom license combining X and Y']. Please see the LICENSE file for full details.

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 kreuzberg-dev/kreuzberg
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Unstructured
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Unstructured · recommended 1×
  2. PyMuPDF · recommended 1×
  3. python-docx · recommended 1×
  4. Pandas · recommended 1×
  5. Beautiful Soup 4 · recommended 1×
  • CATEGORY QUERY
    How to extract structured data and text from various document types using Python?
    you: not recommended
    AI recommended (in order):
    1. Unstructured
    2. PyMuPDF
    3. python-docx
    4. Pandas
    5. Beautiful Soup 4
    6. pytesseract
    7. Apache Tika

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

    Show full AI answer
  • CATEGORY QUERY
    Looking for a robust polyglot framework to extract metadata and tables from diverse documents for RAG.
    you: not recommended
    AI recommended (in order):
    1. Unstructured.io (unstructured-io/unstructured)
    2. Apache Tika (apache/tika)
    3. Microsoft Azure Document Intelligence
    4. Google Cloud Document AI
    5. AWS Textract
    6. Nougat (facebookresearch/nougat)
    7. PDFMiner.six (pdfminer/pdfminer.six)
    8. Camelot (camelot-dev/camelot)
    9. Tabula-py (tabulapdf/tabula-py)

    AI recommended 9 alternatives but never named kreuzberg-dev/kreuzberg. 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 kreuzberg-dev/kreuzberg?
    pass
    AI named kreuzberg-dev/kreuzberg explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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