REPOGEO REPORT · LITE

Oneirocom/Magick

Default branch development · commit e405937b · scanned 6/4/2026, 10:17:02 AM

GitHub: 838 stars · 138 forks

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 Oneirocom/Magick, 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 the README's core value proposition as the H1

Why:

CURRENT

The current H3: "Magick is a groundbreaking visual AIDE (Artificial Intelligence Development Environment) for no-code data pipelines and multimodal agents. Magick can connect to other services and comes with nodes and templates well-suited for intelligent agents, chatbots, complex reasoning systems and realistic characters."

COPY-PASTE FIX

# Magick: A Visual AI Development Environment (AIDE) for No-Code Multimodal Agents and Data Pipelines

Magick is a groundbreaking visual AIDE (Artificial Intelligence Development Environment) for no-code data pipelines and multimodal agents. Magick can connect to other services and comes with nodes and templates well-suited for intelligent agents, chatbots, complex reasoning systems and realistic characters.

mediumtopics#2

Add more specific topics to highlight core features and category

Why:

CURRENT

agent, agi, ai, blueprints-visual-scripting, embeddings, fine-tuning, gemini, gpt-3, gpt-3-prompts, gpt-4o, langchain, large-language-models, no-code, node-editor, pgvector, prompt-engineering, text-generation, typescript, virtual-assistant, visual-scripting

COPY-PASTE FIX

agent, agi, ai, ai-agent-builder, ai-development-environment, blueprints-visual-scripting, embeddings, fine-tuning, gemini, gpt-3, gpt-3-prompts, gpt-4o, langchain, large-language-models, multimodal-ai, no-code, node-editor, pgvector, prompt-engineering, social-connectors, text-generation, typescript, virtual-assistant, visual-scripting

mediumlicense#3

Clarify the project's license in the README

Why:

COPY-PASTE FIX

## License
This project uses a custom license. Please refer to the [LICENSE file](LICENSE) for full details regarding usage and distribution.

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 Oneirocom/Magick

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Google Cloud Vertex AI Workbench

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Google Cloud Vertex AI Workbench · recommended 1×
Microsoft Azure Machine Learning Studio · recommended 1×
DataRobot · recommended 1×
H2O.ai Driverless AI · recommended 1×
RapidMiner Studio · recommended 1×

CATEGORY QUERY
I need a visual tool for building and deploying complex AI agents without coding.
you: not recommended
AI recommended (in order):
1. Google Cloud Vertex AI Workbench
2. Microsoft Azure Machine Learning Studio
3. DataRobot
4. H2O.ai Driverless AI
5. RapidMiner Studio
6. Knime Analytics Platform
AI recommended 6 alternatives but never named Oneirocom/Magick. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I develop intelligent virtual assistants with visual scripting and social media integration?
you: not recommended
AI recommended (in order):
1. Google Dialogflow CX
2. Microsoft Power Virtual Agents
3. Botpress
4. ManyChat
5. Twillio Autopilot
6. Voiceflow
AI recommended 6 alternatives but never named Oneirocom/Magick. 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 Oneirocom/Magick?
pass
AI named Oneirocom/Magick explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts Oneirocom/Magick in production, what risks or prerequisites should they evaluate first?
pass
AI named Oneirocom/Magick 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 Oneirocom/Magick solve, and who is the primary audience?
pass
AI named Oneirocom/Magick explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of Oneirocom/Magick. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/Oneirocom/Magick.svg)](https://repogeo.com/en/r/Oneirocom/Magick)

HTML

<a href="https://repogeo.com/en/r/Oneirocom/Magick"><img src="https://repogeo.com/badge/Oneirocom/Magick.svg" alt="RepoGEO" /></a>

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Oneirocom/Magick — 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