RRepoGEO

REPOGEO REPORT · LITE

e2b-dev/e2b-cookbook

Default branch main · commit 4b25c516 · scanned 5/13/2026, 7:18:02 AM

GitHub: 1,338 stars · 240 forks

AI VISIBILITY SCORE
28 /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
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/e2b-cookbook, 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 statement to highlight sandboxed execution

    Why:

    CURRENT
    # ✴️ E2B Cookbook

Example code and guides for building with E2B SDK.
    COPY-PASTE FIX
    # ✴️ E2B Cookbook

Example code and guides for building AI agents with E2B SDK's secure, sandboxed code execution environment.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a `LICENSE` file to the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0) that reflects the project's intent for reuse.
  • mediumabout#3
    Refine the repository's 'About' description

    Why:

    CURRENT
    Examples of using E2B
    COPY-PASTE FIX
    Practical examples and guides for building AI agents with E2B's secure, sandboxed code execution 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 e2b-dev/e2b-cookbook
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 2×
  2. openai/openai-python · recommended 2×
  3. Open Interpreter · recommended 1×
  4. LangChain · recommended 1×
  5. AutoGPT · recommended 1×
  • CATEGORY QUERY
    How to build AI agents that can execute code in a secure sandboxed environment?
    you: not recommended
    AI recommended (in order):
    1. Open Interpreter
    2. LangChain
    3. AutoGPT
    4. Piston
    5. Jupyter Kernel Gateway
    6. Papermill
    7. Google Cloud Run
    8. AWS Lambda
    9. Docker
    10. Podman

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

    Show full AI answer
  • CATEGORY QUERY
    Practical examples for integrating LLMs with custom code execution environments in Python or TypeScript?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. ChatOpenAI (langchain-ai/langchain)
    3. LlamaIndex (run-llama/llama_index)
    4. OpenAI Function Calling (openai/openai-python)
    5. OpenAI (Python client) (openai/openai-python)
    6. LangChain.js (langchain-ai/langchainjs)
    7. OpenAI (Node.js/TypeScript client) (openai/openai-node)
    8. RestrictedPython (zopefoundation/RestrictedPython)
    9. PypySandbox (pypy/pypy)
    10. Docker (moby/moby)
    11. WebAssembly

    AI recommended 11 alternatives but never named e2b-dev/e2b-cookbook. 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 e2b-dev/e2b-cookbook?
    pass
    AI did not name e2b-dev/e2b-cookbook — 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 e2b-dev/e2b-cookbook in production, what risks or prerequisites should they evaluate first?
    pass
    AI named e2b-dev/e2b-cookbook 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/e2b-cookbook solve, and who is the primary audience?
    pass
    AI named e2b-dev/e2b-cookbook 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/e2b-cookbook — 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