REPOGEO REPORT · LITE

clusterzx/paperless-ai

Default branch main · commit d2fda699 · scanned 6/21/2026, 8:16:32 AM

GitHub: 5,767 stars · 313 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

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 H1 to specify category and purpose
Why:
CURRENT
```
# 📄 Paperless-AI
```
COPY-PASTE FIX
```
# 📄 Paperless-AI: AI-Powered Document Automation for Paperless-ngx
```

mediumtopics#2

Add specific topics to clarify project type and hosting model

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, self-hosted, document-management, document-automation, rag-application

mediumreadme#3

Explicitly state 'self-hosted' in the README's core description

Why:

CURRENT

Paperless-AI** is an AI-powered extension for Paperless-ngx that brings automatic document classification, smart tagging, and semantic search using OpenAI-compatible APIs and Ollama.

COPY-PASTE FIX

Paperless-AI** is an AI-powered extension for your **self-hosted Paperless-ngx** instance, bringing automatic document classification, smart tagging, and semantic search using OpenAI-compatible APIs and Ollama.

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

Of all named tools, what % are you?

Top rival

OpenAI API

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

OpenAI API · recommended 2×
Google Cloud Document AI · recommended 1×
Azure AI Document Intelligence · recommended 1×
Amazon Textract · recommended 1×
Amazon Comprehend · recommended 1×

CATEGORY QUERY
Seeking a solution to automatically categorize and tag scanned documents using large language models.
you: not recommended
AI recommended (in order):
1. Google Cloud Document AI
2. Azure AI Document Intelligence
3. Amazon Textract
4. Amazon Comprehend
5. OpenAI API
6. Tesseract (tesseract-ocr/tesseract)
7. Google Cloud Vision API
8. Azure Computer Vision
9. Hugging Face Transformers (huggingface/transformers)
10. PaddleOCR (PaddlePaddle/PaddleOCR)
11. Nanonets
AI recommended 11 alternatives but never named clusterzx/paperless-ai. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I add intelligent search and conversational AI to my existing document archive?
you: not recommended
AI recommended (in order):
1. Azure Cognitive Search
2. Azure OpenAI Service
3. AWS Kendra
4. Amazon Bedrock
5. Elasticsearch
6. LangChain
7. OpenAI API
8. Anthropic's Claude
9. Cohere's Command
10. Google Cloud Search
11. Vertex AI
12. Pinecone
13. Weaviate
14. Qdrant
15. Coveo
AI recommended 15 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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MARKDOWN (README)

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Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite