RRepoGEO

REPOGEO REPORT · LITE

e2b-dev/desktop

Default branch main · commit 1266e999 · scanned 6/20/2026, 1:21:47 PM

GitHub: 1,414 stars · 179 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 e2b-dev/desktop, 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 H1 to specify its LLM agent focus

    Why:

    CURRENT
    # E2B Desktop Sandbox - Open Source Virtual Computer for Computer Use
    COPY-PASTE FIX
    # E2B Desktop Sandbox - Secure Virtual Desktop for LLM Agent Computer Use
  • hightopics#2
    Refine topics to be more specific to LLM agents and virtual desktops

    Why:

    CURRENT
    ai, computer, desktop, e2b, e2b-dev, gpt, gui, llm, vm
    COPY-PASTE FIX
    ai, llm, llm-agent, ai-agent, desktop, virtual-desktop, sandbox, gui, computer-use, e2b, e2b-dev, gpt
  • mediumcomparison#3
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., `## Why E2B Desktop Sandbox? (vs. VMs, Docker, or UI Automation Tools)` explaining its unique value proposition for LLM agents and how it differs from general virtualization and UI automation tools.

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 e2b-dev/desktop
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Qubes OS
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Qubes OS · recommended 1×
  2. Docker · recommended 1×
  3. VirtualBox · recommended 1×
  4. VMware Workstation · recommended 1×
  5. Proxmox VE · recommended 1×
  • CATEGORY QUERY
    How can I provide a secure, isolated desktop environment for my LLM agent?
    you: not recommended
    AI recommended (in order):
    1. Qubes OS
    2. Docker
    3. VirtualBox
    4. VMware Workstation
    5. Proxmox VE
    6. Google Cloud Platform (GCP)
    7. Compute Engine
    8. Google Cloud Workstations
    9. Amazon Web Services (AWS)
    10. Amazon WorkSpaces
    11. EC2
    12. Microsoft Azure
    13. Azure Virtual Desktop
    14. Firejail
    15. Wayland
    16. Sway
    17. Wayfire

    AI recommended 17 alternatives but never named e2b-dev/desktop. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools allow LLMs to interact with a virtual desktop environment using Python?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. PyAutoGUI
    3. Selenium
    4. Robot Framework
    5. pywinauto
    6. OpenCV
    7. Microsoft UI Automation
    8. uiautomation

    AI recommended 8 alternatives but never named e2b-dev/desktop. 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 e2b-dev/desktop?
    pass
    AI named e2b-dev/desktop explicitly

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

  • If a team adopts e2b-dev/desktop in production, what risks or prerequisites should they evaluate first?
    pass
    AI named e2b-dev/desktop 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 e2b-dev/desktop solve, and who is the primary audience?
    pass
    AI named e2b-dev/desktop explicitly

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

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e2b-dev/desktop — 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