RRepoGEO

REPOGEO REPORT · LITE

DocumindHQ/documind

Default branch main · commit f258286f · scanned 6/29/2026, 3:31:59 PM

GitHub: 1,484 stars · 60 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 DocumindHQ/documind, 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 Documind is an open-source, self-hostable LLM platform

    Why:

    CURRENT
    # Documind

**`Documind`** is an advanced document processing tool that leverages AI to extract structured data from PDFs.
    COPY-PASTE FIX
    # Documind: Open-Source AI Platform for Structured Data Extraction from Documents (with LLMs)

**`Documind`** is a fully open-source and self-hostable AI document assistant that leverages Large Language Models (LLMs) to extract structured data from various document types, including PDFs. It emphasizes privacy, control, and local LLM support (via Ollama) for efficient data parsing into customizable JSON schemas.
  • mediumreadme#2
    Add a 'Why Documind?' or 'Key Differentiators' section to highlight its open-source and self-hostable nature

    Why:

    COPY-PASTE FIX
    ## Why Documind?

Unlike proprietary cloud services, Documind offers a fully open-source and self-hostable platform for AI-powered document data extraction. This provides users with complete control over their data, enhanced privacy, and the flexibility to integrate with local LLMs (like Llava and Llama3.2-vision via Ollama) without vendor lock-in.
  • mediumreadme#3
    Clarify the project's license(s) directly in the README

    Why:

    COPY-PASTE FIX
    ## License

Documind is released under the terms specified in the `LICENSE` file. Please refer to this file for full details on the applicable license(s) and usage permissions.

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 DocumindHQ/documind
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Azure AI Document Intelligence
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Azure AI Document Intelligence · recommended 1×
  2. Google Cloud Document AI · recommended 1×
  3. Amazon Textract · recommended 1×
  4. Rossum · recommended 1×
  5. Nanonets · recommended 1×
  • CATEGORY QUERY
    How to extract structured JSON data from various document types using AI?
    you: not recommended
    AI recommended (in order):
    1. Azure AI Document Intelligence
    2. Google Cloud Document AI
    3. Amazon Textract
    4. Rossum
    5. Nanonets
    6. Kofax RPA
    7. OpenAI GPT-4
    8. Claude 3 Opus

    AI recommended 8 alternatives but never named DocumindHQ/documind. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools use LLMs to parse PDF content into custom JSON schemas?
    you: not recommended
    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 DocumindHQ/documind?
    pass
    AI named DocumindHQ/documind explicitly

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

  • If a team adopts DocumindHQ/documind in production, what risks or prerequisites should they evaluate first?
    pass
    AI named DocumindHQ/documind 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 DocumindHQ/documind solve, and who is the primary audience?
    pass
    AI named DocumindHQ/documind 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
  • Prioritized action items8 vs 3 in Lite