RRepoGEO

REPOGEO REPORT · LITE

e2b-dev/infra

Default branch main · commit f2c360d2 · scanned 5/12/2026, 8:46:32 PM

GitHub: 1,099 stars · 306 forks

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 e2b-dev/infra, 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 to clarify its core purpose and audience

    Why:

    CURRENT
    # E2B Infrastructure
    
    E2B is an open-source infrastructure for AI code interpreting. In our main repository e2b-dev/e2b we are giving you SDKs and CLI to customize and manage environments and run your AI agents in the cloud.
    
    This repository contains the infrastructure that powers the E2B platform.
    COPY-PASTE FIX
    # E2B Infrastructure
    
    E2B Infrastructure provides the open-source, self-hostable cloud infrastructure for running secure, isolated, and ephemeral sandboxed execution environments specifically optimized for AI agents and Large Language Models (LLMs). This repository powers the E2B platform and allows you to deploy your own AI code interpreters on cloud providers like GCP and AWS.
  • mediumtopics#2
    Add topics that emphasize 'AI platform' and 'cloud-native orchestration'

    Why:

    CURRENT
    ai-agents, code-interpreter, consul, devtools, firecracker, gcp, go, golang, gpt, kvm, llm, microvm, nomad, sandbox, terraform, vm, vmm
    COPY-PASTE FIX
    ai-agents, code-interpreter, consul, devtools, firecracker, gcp, go, golang, gpt, kvm, llm, microvm, nomad, sandbox, terraform, vm, vmm, ai-platform, cloud-native, orchestration, serverless-functions
  • lowreadme#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives
    
    E2B Infrastructure provides a specialized, open-source, and self-hostable platform for AI agent execution environments. Unlike general-purpose container runtimes (e.g., Docker) or OS-level security tools (e.g., Seccomp, AppArmor), E2B offers a complete cloud-native solution for isolated AI code interpretation. While cloud services like Google Cloud Run provide serverless execution, E2B gives you full control over your infrastructure, optimized specifically for the unique demands of AI agents and LLMs.

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/infra
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Run
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Run · recommended 2×
  2. Docker · recommended 1×
  3. Seccomp · recommended 1×
  4. AppArmor · recommended 1×
  5. SELinux · recommended 1×
  • CATEGORY QUERY
    How to set up secure sandboxed environments for running AI agents?
    you: not recommended
    AI recommended (in order):
    1. Docker
    2. Seccomp
    3. AppArmor
    4. SELinux
    5. gVisor
    6. Kata Containers
    7. Firecracker
    8. AWS Lambda
    9. Google Cloud Run
    10. Azure Container Instances

    AI recommended 10 alternatives but never named e2b-dev/infra. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking infrastructure for deploying AI code interpreters on cloud platforms like GCP?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vertex AI Workbench
    2. Google Kubernetes Engine (GKE)
    3. Google Cloud Run
    4. Google Compute Engine (GCE)
    5. Replicate

    AI recommended 5 alternatives but never named e2b-dev/infra. 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/infra?
    pass
    AI named e2b-dev/infra 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/infra in production, what risks or prerequisites should they evaluate first?
    pass
    AI named e2b-dev/infra 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/infra solve, and who is the primary audience?
    pass
    AI did not name e2b-dev/infra — 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?

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  • Brand-free category queries5 vs 2 in Lite
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