RRepoGEO

REPOGEO REPORT · LITE

vercel/eve

Default branch main · commit 2109c8dd · scanned 6/22/2026, 12:16:50 AM

GitHub: 2,051 stars · 147 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 vercel/eve, 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
  • highabout#1
    Update the 'About' description to be more specific

    Why:

    CURRENT
    The Framework for Building Agents
    COPY-PASTE FIX
    A filesystem-first framework for building durable AI agents.
  • hightopics#2
    Add more specific AI-related topics

    Why:

    CURRENT
    agent, framework, harness, javascript, markdown, sandbox, typescript, vercel, workflows
    COPY-PASTE FIX
    ai-agents, llm, agent, framework, harness, javascript, markdown, sandbox, typescript, vercel, workflows
  • mediumreadme#3
    Add a prominent subtitle in the README

    Why:

    CURRENT
    <h1>eve</h1>
    COPY-PASTE FIX
    <h1>eve</h1>

### The Filesystem-First Framework for Durable AI Agents

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 vercel/eve
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain.js
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain.js · recommended 1×
  2. LlamaIndex.TS · recommended 1×
  3. Agent Protocol · recommended 1×
  4. Botpress · recommended 1×
  5. NestJS · recommended 1×
  • CATEGORY QUERY
    What's a robust framework for building durable and extensible AI agents in JavaScript/TypeScript?
    you: not recommended
    AI recommended (in order):
    1. LangChain.js
    2. LlamaIndex.TS
    3. Agent Protocol
    4. Botpress
    5. NestJS
    6. Hono

    AI recommended 6 alternatives but never named vercel/eve. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to develop AI agents with a filesystem-based structure for instructions, tools, and workflows?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. CrewAI
    5. Autogen
    6. Open Interpreter

    AI recommended 6 alternatives but never named vercel/eve. 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 vercel/eve?
    pass
    AI named vercel/eve explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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HTML
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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite