RRepoGEO

REPOGEO REPORT · LITE

modu-ai/moai-adk

Default branch main · commit 3bd2aa29 · scanned 5/19/2026, 4:21:40 PM

GitHub: 1,021 stars · 187 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
33 /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
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 modu-ai/moai-adk, 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 'Why MoAI-ADK?' section to highlight its unique value for Claude Code

    Why:

    CURRENT
    We completely rewrote the Python-based MoAI-ADK (~73,000 lines) in Go.
    COPY-PASTE FIX
    MoAI-ADK is the definitive **SPEC-First Agentic Development Kit for Claude Code**. It uniquely combines 24 specialized AI agents and 52 skills with built-in TDD/DDD quality gates, enabling developers to produce high-quality, production-ready code for Claude. Unlike generic agent frameworks, MoAI-ADK is purpose-built for Claude's ecosystem, offering a streamlined Go CLI with zero dependencies. We achieved this by completely rewriting the Python-based MoAI-ADK (~73,000 lines) in Go to ensure high performance and instant execution.
  • mediumtopics#2
    Add more specific, compound topics

    Why:

    CURRENT
    agent-teams, agentic-ai, agentic-coding, agentic-workflow, ai-agent, ai-coding, anthropic, claude, claude-code, claudecode, cli-tool, code-quality, ddd, developer-tools, ears-format, multi-agent, spec-driven-development, spec-first, tdd, vibe-coding
    COPY-PASTE FIX
    agent-teams, agentic-ai, agentic-coding, agentic-workflow, ai-agent, ai-coding, anthropic, claude, claude-code, claudecode, cli-tool, code-quality, ddd, developer-tools, ears-format, multi-agent, spec-driven-development, spec-first, tdd, vibe-coding, claude-agent-development, spec-first-ai-coding, tdd-ddd-ai-agents, go-cli-agent-kit
  • mediumreadme#3
    Add a 'Comparison with Alternatives' section

    Why:

    COPY-PASTE FIX
    ## Comparison with Alternatives

While tools like AutoGen, CrewAI, and LangChain Agents offer general multi-agent frameworks, MoAI-ADK stands apart by being purpose-built as a SPEC-First Agentic Development Kit specifically for Claude Code. Our focus on TDD/DDD quality gates, 16-language project support, and a zero-dependency Go CLI provides a distinct advantage for developers seeking high-quality, production-ready AI code generation tailored for the Claude ecosystem, rather than a generic agent orchestration layer.

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 modu-ai/moai-adk
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AutoGen
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. AutoGen · recommended 1×
  2. CrewAI · recommended 1×
  3. LangChain Agents · recommended 1×
  4. OpenAPI/Swagger · recommended 1×
  5. JSON Schema · recommended 1×
  • CATEGORY QUERY
    How can I implement AI agent teams for spec-first code generation with Claude?
    you: not recommended
    AI recommended (in order):
    1. AutoGen
    2. CrewAI
    3. LangChain Agents
    4. OpenAPI/Swagger
    5. JSON Schema
    6. Gherkin
    7. Pydantic
    8. Anthropic Python SDK
    9. Claude 3 Opus/Sonnet
    10. Pylint
    11. ESLint
    12. Black
    13. Prettier
    14. Pytest
    15. Jest
    16. JUnit

    AI recommended 16 alternatives but never named modu-ai/moai-adk. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are developer tools for multi-agent AI coding with TDD and DDD quality gates?
    you: not recommended
    AI recommended (in order):
    1. Mesa
    2. Akka
    3. Anima
    4. SPADE
    5. Pulsar
    6. Spring Boot
    7. Go

    AI recommended 7 alternatives but never named modu-ai/moai-adk. 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 modu-ai/moai-adk?
    pass
    AI did not name modu-ai/moai-adk — 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 modu-ai/moai-adk in production, what risks or prerequisites should they evaluate first?
    pass
    AI named modu-ai/moai-adk 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 modu-ai/moai-adk solve, and who is the primary audience?
    pass
    AI named modu-ai/moai-adk explicitly

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

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modu-ai/moai-adk — 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