RRepoGEO

REPOGEO REPORT · LITE

ishaan1013/shadow

Default branch main · commit 96e7b187 · scanned 5/26/2026, 12:22:53 AM

GitHub: 1,468 stars · 174 forks

AI VISIBILITY SCORE
35 /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
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 ishaan1013/shadow, 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
  • hightopics#1
    Add specific topics for AI agent and isolated environments

    Why:

    COPY-PASTE FIX
    ai-agent, code-generation, llm-agent, isolated-environment, developer-tools, github-automation, pull-request-automation, micro-vms, qemu
  • highreadme#2
    Reposition README H1 and opening paragraph to clarify core function

    Why:

    CURRENT
    # Shadow (Case Study)

An open-source background coding agent. Designed to understand, reason about, and contribute to existing codebases. Licensed for open-source use under MIT License
    COPY-PASTE FIX
    # Shadow: An Open-Source Background Coding Agent

Shadow is an open-source background coding agent designed to understand, reason about, and contribute to existing codebases. It sets up isolated execution environments for AI agents to work on GitHub repositories, providing tools to understand code, edit files, and much more. Licensed for open-source use under MIT License.
  • mediumreadme#3
    Add a section differentiating Shadow from generic LLMs and isolation tools

    Why:

    COPY-PASTE FIX
    ## Why Shadow? Differentiating from other tools

Shadow stands apart by integrating multi-provider LLM support with secure, hardware-isolated execution environments (via Kata QEMU) and comprehensive GitHub automation. Unlike standalone LLM APIs, generic CI/CD pipelines, or raw virtualization technologies, Shadow offers a complete, autonomous platform for AI agents to understand, modify, and contribute to codebases in a controlled and secure manner.

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 ishaan1013/shadow
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. GitHub Actions · recommended 1×
  3. OpenAI API · recommended 1×
  4. GPT-4 · recommended 1×
  5. GPT-3.5 Turbo · recommended 1×
  • CATEGORY QUERY
    How can I automate code changes and generate pull requests using an AI agent?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. GitHub Actions
    3. OpenAI API
    4. GPT-4
    5. GPT-3.5 Turbo
    6. git CLI
    7. gh CLI
    8. actions/github-script (actions/github-script)
    9. LangChain
    10. GitPython
    11. simple-git
    12. Smol-AI/Developer (Smol-AI/Developer)
    13. PyGithub
    14. Octokit.js
    15. CodiumAI
    16. Codeium

    AI recommended 16 alternatives but never named ishaan1013/shadow. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide secure, isolated environments for AI agents to understand and modify codebases?
    you: not recommended
    AI recommended (in order):
    1. Docker with Docker Compose
    2. Firecracker
    3. gVisor
    4. Kubernetes
    5. Kata Containers
    6. Chroot Jails

    AI recommended 6 alternatives but never named ishaan1013/shadow. 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 ishaan1013/shadow?
    pass
    AI named ishaan1013/shadow explicitly

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

  • If a team adopts ishaan1013/shadow in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ishaan1013/shadow 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 ishaan1013/shadow solve, and who is the primary audience?
    pass
    AI named ishaan1013/shadow explicitly

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

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ishaan1013/shadow — 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