RRepoGEO

REPOGEO REPORT · LITE

alibaba/Logics-Parsing

Default branch main · commit d0da8654 · scanned 6/25/2026, 7:58:08 AM

GitHub: 1,392 stars · 121 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 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 description to the repository's About section

    Why:

    COPY-PASTE FIX
    Logics-Parsing-v2 is an advanced model for structured parsing of complex documents, including musical sheets, flowcharts, and code blocks, converting them into logical forms for AI/NLP applications.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    parsing, document-ai, mllm, structured-data-extraction, flowchart-parsing, music-notation-parsing, code-parsing, nlp, logical-forms
  • mediumhomepage#3
    Set the repository homepage URL in the About section

    Why:

    COPY-PASTE FIX
    https://logics.alibaba-inc.com/parsing/?spm=label.2ef5001f.0.0.1c702159dQbTRd

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
Google Cloud Document AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Document AI · recommended 1×
  2. Azure Form Recognizer · recommended 1×
  3. Amazon Textract · recommended 1×
  4. OpenAI GPT-4 · recommended 1×
  5. Claude 3 Opus/Sonnet · recommended 1×
  • CATEGORY QUERY
    How can I extract structured data from complex unstructured documents using AI?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Document AI
    2. Azure Form Recognizer
    3. Amazon Textract
    4. OpenAI GPT-4
    5. Claude 3 Opus/Sonnet
    6. SpaCy

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

    Show full AI answer
  • CATEGORY QUERY
    What tools are available for structured parsing of flowcharts, musical sheets, or pseudocode?
    you: not recommended
    AI recommended (in order):
    1. Antlr
    2. Flex & Bison
    3. Tree-sitter
    4. OpenCV
    5. Music21
    6. Mermaid.js
    7. Pyparsing

    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 named alibaba/Logics-Parsing explicitly

    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.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite