RRepoGEO

REPOGEO REPORT · LITE

phodal/auto-dev

Default branch master · commit 4a349444 · scanned 5/14/2026, 5:22:58 PM

GitHub: 4,471 stars · 487 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 phodal/auto-dev, 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 opening paragraph to emphasize the full SDLC platform

    Why:

    CURRENT
    # AutoDev 3.0 Xiuper (Alpha)

> **One Platform. All Phases. Every Device.**  
> 统一平台 · 全开发阶段 · 跨全设备

**AutoDev Xiuper** is an AI-native, multi-agent development platform built on Kotlin Multiplatform. Based on the current codebase,
it focuses on document research, coding, code review, data query, artifact generation, and web interaction workflows, and targets
IntelliJ IDEA, VS Code, CLI, Desktop JVM, Android, iOS, JS/WASM Web, and Server runtimes.
    COPY-PASTE FIX
    # AutoDev 3.0 Xiuper (Alpha)

> **One Platform. All Phases. Every Device.**  
> 统一平台 · 全开发阶段 · 跨全设备

**AutoDev Xiuper** is the AI-native, multi-agent development platform designed to automate and enhance the *entire Software Development Lifecycle (SDLC)*, from requirements to deployment. Built on Kotlin Multiplatform, it provides a unified environment for document research, coding, code review, data query, artifact generation, and web interaction workflows, targeting IntelliJ IDEA, VS Code, CLI, Desktop JVM, Android, iOS, JS/WASM Web, and Server runtimes.
  • mediumtopics#2
    Add more specific topics to highlight multi-agent and SDLC automation

    Why:

    CURRENT
    aigc, genai, genaistack, ide, intellij
    COPY-PASTE FIX
    aigc, genai, genaistack, ide, intellij, multi-agent, sd-lc, devops, ai-platform, kotlin-multiplatform
  • lowcomparison#3
    Add a 'Comparison with Alternatives' section to clarify differentiation

    Why:

    COPY-PASTE FIX
    ## Comparison with Alternatives

Unlike single-purpose AI coding assistants (e.g., GitHub Copilot, Cursor, CodiumAI) or foundational AI APIs (e.g., OpenAI API, Anthropic Claude API), AutoDev Xiuper is an integrated multi-agent platform that orchestrates the *entire Software Development Lifecycle*. While those tools enhance specific coding tasks, AutoDev provides end-to-end automation and management across all SDLC phases, from requirements and design to coding, testing, deployment, and monitoring, all within a unified, multiplatform environment.

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 phodal/auto-dev
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 2×
  2. CodiumAI · recommended 2×
  3. Cursor · recommended 1×
  4. OpenAI API · recommended 1×
  5. Anthropic Claude API · recommended 1×
  • CATEGORY QUERY
    How can I use AI agents to automate and enhance my entire software development lifecycle?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Cursor
    3. CodiumAI
    4. OpenAI API
    5. Anthropic Claude API
    6. LangChain (langchain-ai/langchain)
    7. LlamaIndex (run-llama/llama_index)
    8. Testim.io
    9. Applitools
    10. Jira

    AI recommended 10 alternatives but never named phodal/auto-dev. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI-powered tools help with multiplatform app development and integrate with popular IDEs?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Tabnine
    3. JetBrains AI Assistant
    4. AWS CodeWhisperer
    5. Google Gemini
    6. CodiumAI

    AI recommended 6 alternatives but never named phodal/auto-dev. 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 phodal/auto-dev?
    pass
    AI named phodal/auto-dev explicitly

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

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

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

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