RRepoGEO

REPOGEO REPORT · LITE

easydoc-ai/easydoc

Default branch main · commit ad938fe1 · scanned 5/9/2026, 5:52:35 AM

GitHub: 1,114 stars · 11 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 easydoc-ai/easydoc, 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
    Add a concise About description

    Why:

    COPY-PASTE FIX
    Powerful multimodal document processing API that transforms unstructured documents into hierarchical JSON, optimized for AI and LLM applications.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    document-processing, multimodal-ai, llm-applications, json-extraction, unstructured-data, api, document-intelligence, generative-ai
  • mediumhomepage#3
    Add the project homepage URL

    Why:

    COPY-PASTE FIX
    https://easydoc.sh/

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 easydoc-ai/easydoc
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Amazon Textract
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Amazon Textract · recommended 2×
  2. LlamaParse · recommended 1×
  3. Unstructured-IO/unstructured · recommended 1×
  4. OpenAI Function Calling · recommended 1×
  5. Google Gemini Function Calling · recommended 1×
  • CATEGORY QUERY
    How to convert unstructured documents into structured JSON for LLM applications?
    you: not recommended
    AI recommended (in order):
    1. LlamaParse
    2. Unstructured.io (Unstructured-IO/unstructured)
    3. OpenAI Function Calling
    4. Google Gemini Function Calling
    5. LangChain (langchain-ai/langchain)
    6. Microsoft Azure AI Document Intelligence
    7. Amazon Textract
    8. SpaCy (explosion/spaCy)
    9. NLTK (nltk/nltk)

    AI recommended 9 alternatives but never named easydoc-ai/easydoc. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best APIs for multimodal document parsing into hierarchical data?
    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 OmniPage Capture SDK

    AI recommended 6 alternatives but never named easydoc-ai/easydoc. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 easydoc-ai/easydoc?
    pass
    AI named easydoc-ai/easydoc explicitly

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

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

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

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