RRepoGEO

REPOGEO REPORT · LITE

liujuntao123/smart-excalidraw-next

Default branch main · commit 75be4794 · scanned 5/30/2026, 3:13:00 AM

GitHub: 3,378 stars · 416 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 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 liujuntao123/smart-excalidraw-next, 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 README's opening to clarify AI-driven interactive drawing

    Why:

    CURRENT
    # Smart Excalidraw
> **用自然语言，绘制专业图表**

🚀🚀🚀全面升级的新版本，更强大好用的绘图平台
    COPY-PASTE FIX
    # Smart Excalidraw: AI-Powered Interactive Diagramming with Natural Language
> **用自然语言，绘制专业图表**

🚀🚀🚀全面升级的新版本，更强大好用的绘图平台
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the root of the repository to clearly state usage terms.
  • mediumtopics#3
    Expand repository topics for better categorization

    Why:

    CURRENT
    ai, chart, excalidraw
    COPY-PASTE FIX
    ai, chart, excalidraw, natural-language-processing, generative-ai, diagramming-tool, whiteboard, text-to-diagram, llm-application

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 liujuntao123/smart-excalidraw-next
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Lucidchart
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Lucidchart · recommended 2×
  2. mermaid-js/mermaid · recommended 1×
  3. plantuml/plantuml · recommended 1×
  4. mingrammer/diagrams · recommended 1×
  5. graphviz/graphviz · recommended 1×
  • CATEGORY QUERY
    How to generate professional diagrams and flowcharts from natural language descriptions quickly?
    you: not recommended
    AI recommended (in order):
    1. Mermaid.js (mermaid-js/mermaid)
    2. PlantUML (plantuml/plantuml)
    3. diagrams (mingrammer/diagrams)
    4. Graphviz (graphviz/graphviz)
    5. ChatGPT/GPT-4
    6. Whimsical
    7. Lucidchart

    AI recommended 7 alternatives but never named liujuntao123/smart-excalidraw-next. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI tools can convert text prompts into editable technical drawings or charts?
    you: not recommended
    AI recommended (in order):
    1. Mermaid.js
    2. ChatGPT
    3. Google Gemini
    4. Copilot
    5. Diagrams.net
    6. Microsoft Visio
    7. Lucidchart
    8. Midjourney
    9. DALL-E 3
    10. Adobe Illustrator
    11. Inkscape
    12. Affinity Designer
    13. Graphviz
    14. AutoCAD

    AI recommended 14 alternatives but never named liujuntao123/smart-excalidraw-next. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 liujuntao123/smart-excalidraw-next?
    pass
    AI named liujuntao123/smart-excalidraw-next explicitly

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

  • If a team adopts liujuntao123/smart-excalidraw-next in production, what risks or prerequisites should they evaluate first?
    pass
    AI named liujuntao123/smart-excalidraw-next 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 liujuntao123/smart-excalidraw-next solve, and who is the primary audience?
    pass
    AI did not name liujuntao123/smart-excalidraw-next — 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?

Embed your GEO score

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