RRepoGEO

REPOGEO REPORT · LITE

clusterzx/paperless-ai

Default branch main · commit d2fda699 · scanned 5/11/2026, 5:16:38 AM

GitHub: 5,643 stars · 303 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 clusterzx/paperless-ai, 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 core purpose statement

    Why:

    CURRENT
    The first descriptive sentence about the project's function appears after a large 'IMPORTANT NOTICE'.
    COPY-PASTE FIX
    Add the following line immediately after the `# 📄 Paperless-AI` title: `An AI-powered extension for Paperless-ngx for automated document analysis and tagging.`
  • mediumabout#2
    Refine the 'About' description for clearer categorization

    Why:

    CURRENT
    An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents.
    COPY-PASTE FIX
    An AI-powered extension for Paperless-ngx that automates document analysis, classification, and tagging using OpenAI-compatible APIs, Ollama, and other LLMs, enhancing self-hosted document management.
  • lowtopics#3
    Add more specific topics to clarify application type

    Why:

    CURRENT
    ai, automation, gemma, llama, mistral, ollama, paperless, paperless-ngx, phi
    COPY-PASTE FIX
    ai, automation, gemma, llama, mistral, ollama, paperless, paperless-ngx, phi, document-management, self-hosted, extension, plugin

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 clusterzx/paperless-ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NLTK
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. NLTK · recommended 2×
  2. Google Cloud Document AI · recommended 1×
  3. Amazon Textract · recommended 1×
  4. Amazon Comprehend · recommended 1×
  5. Microsoft Azure Form Recognizer · recommended 1×
  • CATEGORY QUERY
    How can I automatically classify and tag scanned documents using AI for better organization?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Document AI
    2. Amazon Textract
    3. Amazon Comprehend
    4. Microsoft Azure Form Recognizer
    5. UiPath Document Understanding
    6. Abbyy FineReader Engine
    7. Abbyy Vantage
    8. Nanonets
    9. Tesseract OCR
    10. spaCy
    11. NLTK
    12. scikit-learn
    13. TensorFlow
    14. PyTorch

    AI recommended 14 alternatives but never named clusterzx/paperless-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help integrate large language models for intelligent document analysis and search?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers
    4. Hugging Face Datasets
    5. OpenAI API
    6. Azure OpenAI Service
    7. Elasticsearch
    8. Weaviate
    9. Pinecone
    10. Qdrant
    11. SpaCy
    12. NLTK

    AI recommended 12 alternatives but never named clusterzx/paperless-ai. 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 clusterzx/paperless-ai?
    pass
    AI named clusterzx/paperless-ai explicitly

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

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

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

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