RRepoGEO

REPOGEO REPORT · LITE

dtyq/magic

Default branch master · commit 786a0073 · scanned 5/18/2026, 11:53:03 PM

GitHub: 4,822 stars · 526 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 dtyq/magic, 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
    Refine the 'About' description to emphasize enterprise-grade platform

    Why:

    CURRENT
    Magicrew. The first open-source all-in-one AI productivity platform (Generalist AI Agent + Workflow Engine + IM + Online collaborative office system)
    COPY-PASTE FIX
    Magicrew: The first open-source, enterprise-grade all-in-one AI productivity platform, featuring a Generalist AI Agent, Workflow Engine, IM, and online collaborative office system.
  • hightopics#2
    Add more specific topics to improve category matching

    Why:

    CURRENT
    agent, agi, ai, gpt, llm, low-code, mcp, no-code, sandbox, super-magic, workflow
    COPY-PASTE FIX
    agent, agi, ai, gpt, llm, low-code, mcp, no-code, sandbox, super-magic, workflow, enterprise-ai, ai-platform, collaboration-platform, workflow-engine
  • mediumreadme#3
    Clarify the project's license(s) directly in the README

    Why:

    COPY-PASTE FIX
    ## License
    Magic is licensed under [insert specific license name(s) here, e.g., 'the Apache 2.0 License and the MIT License']. Please refer to the `LICENSE` file for full details.

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 dtyq/magic
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. Apache Airflow · recommended 1×
  3. Prefect · recommended 1×
  4. Open-AutoGPT · recommended 1×
  5. AutoGPT · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source enterprise AI agent platform with integrated workflow automation.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Apache Airflow
    3. Prefect
    4. Open-AutoGPT
    5. AutoGPT
    6. AgentGPT
    7. Haystack
    8. Cortex
    9. Rasa Open Source

    AI recommended 9 alternatives but never named dtyq/magic. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best all-in-one AI platforms for team collaboration and custom LLM agents?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Hub
    2. Hugging Face Spaces
    3. Inference Endpoints
    4. transformers
    5. diffusers
    6. Weights & Biases (W&B)
    7. W&B Prompts
    8. Azure Machine Learning
    9. Azure OpenAI Service
    10. Azure AI Studio
    11. Google Cloud Vertex AI
    12. Vertex AI Generative AI Studio
    13. PaLM 2
    14. Gemini
    15. OpenAI API
    16. Anthropic's Claude
    17. LangChain
    18. LlamaIndex
    19. GitHub
    20. Jira
    21. Asana
    22. MLflow
    23. DVC
    24. Databricks Lakehouse Platform
    25. MosaicML

    AI recommended 25 alternatives but never named dtyq/magic. This is the gap to close.

    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 dtyq/magic?
    pass
    AI named dtyq/magic explicitly

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

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

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

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dtyq/magic — 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