RRepoGEO

REPOGEO REPORT · LITE

docling-project/docling-mcp

Default branch main · commit 59f793b1 · scanned 6/8/2026, 6:22:01 AM

GitHub: 645 stars · 123 forks

AI VISIBILITY SCORE
35 /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
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 docling-project/docling-mcp, 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
  • highabout#1
    Update the repository description for clarity

    Why:

    CURRENT
    Making docling agentic through MCP
    COPY-PASTE FIX
    A document processing service for converting PDFs to structured data, enabling agentic AI applications via the Model Context Protocol (MCP).
  • highreadme#2
    Align README H1 with the updated repository description

    Why:

    CURRENT
    # Docling MCP: making docling agentic
    COPY-PASTE FIX
    # Docling MCP: Agentic Document Processing for Structured Data
  • mediumtopics#3
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    document-processing, pdf-to-structured-data, ai-tools, agentic-ai, llm-tools, data-extraction, document-ai, model-context-protocol

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 docling-project/docling-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Rossum
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Rossum · recommended 2×
  2. Google Cloud Document AI · recommended 2×
  3. Amazon Textract · recommended 2×
  4. Adobe Acrobat Pro DC · recommended 1×
  5. tabulapdf/tabula · recommended 1×
  • CATEGORY QUERY
    How can I convert PDF documents into structured data for programmatic use?
    you: not recommended
    AI recommended (in order):
    1. Adobe Acrobat Pro DC
    2. Tabula (tabulapdf/tabula)
    3. PDFMiner.six (pdfminer/pdfminer.six)
    4. Camelot (camelot-dev/camelot)
    5. Docparser
    6. Rossum
    7. Google Cloud Document AI
    8. Amazon Textract
    9. Azure Form Recognizer

    AI recommended 9 alternatives but never named docling-project/docling-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are robust document processing services offering tool integration for AI applications?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Document AI
    2. Amazon Textract
    3. Microsoft Azure Form Recognizer (now Azure AI Document Intelligence)
    4. UiPath Document Understanding
    5. ABBYY Vantage
    6. Rossum

    AI recommended 6 alternatives but never named docling-project/docling-mcp. 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 docling-project/docling-mcp?
    pass
    AI named docling-project/docling-mcp explicitly

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

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

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

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