RRepoGEO

REPOGEO REPORT · LITE

alibaba/Logics-Parsing

Default branch main · commit d0da8654 · scanned 5/14/2026, 6:18:14 PM

GitHub: 1,350 stars · 117 forks

AI VISIBILITY SCORE
23 /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
2 / 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 alibaba/Logics-Parsing, 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
    Logics-Parsing-v2 is an advanced multimodal model for structured parsing of complex documents, including musical sheets, flowcharts, and code blocks, extending capabilities beyond traditional document AI.
  • hightopics#2
    Add specific topics to the repository

    Why:

    COPY-PASTE FIX
    ["multimodal-ai", "document-parsing", "structured-data-extraction", "flowchart-parsing", "music-sheet-parsing", "code-parsing", "large-language-models", "mllm"]
  • mediumreadme#3
    Add a concise project tagline or summary at the very top of the README

    Why:

    CURRENT
    The current README starts with a centered div, then links, then updates.
    COPY-PASTE FIX
    Add a new paragraph immediately after the homepage/model/demo links, before the 'Updates' section: 'Logics-Parsing-v2 is an advanced multimodal model for structured parsing of complex documents, enabling "Parsing-2.0" scenarios like extracting structured data from musical sheets, flowcharts, and code blocks.'

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 alibaba/Logics-Parsing
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Rossum Aurora
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Rossum Aurora · recommended 1×
  2. Hyperscience · recommended 1×
  3. UiPath Document Understanding · recommended 1×
  4. ABBYY FlexiCapture · recommended 1×
  5. Google Cloud Document AI · recommended 1×
  • CATEGORY QUERY
    Need a tool for structured data extraction from complex, unstructured documents.
    you: not recommended
    AI recommended (in order):
    1. Rossum Aurora
    2. Hyperscience
    3. UiPath Document Understanding
    4. ABBYY FlexiCapture
    5. Google Cloud Document AI
    6. Microsoft Azure Form Recognizer

    AI recommended 6 alternatives but never named alibaba/Logics-Parsing. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a library to parse and understand flowcharts, music sheets, or code blocks.
    you: not recommended
    AI recommended (in order):
    1. Antlr (antlr/antlr4)
    2. Tree-sitter (tree-sitter/tree-sitter)
    3. Graphviz (graphviz/graphviz)
    4. LilyPond
    5. Mermaid (mermaid-js/mermaid)
    6. Pygments (pygments/pygments)
    7. Regular Expressions

    AI recommended 7 alternatives but never named alibaba/Logics-Parsing. 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 alibaba/Logics-Parsing?
    pass
    AI did not name alibaba/Logics-Parsing — likely talking about a different project

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

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

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

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alibaba/Logics-Parsing — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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