RRepoGEO

REPOGEO REPORT · LITE

BuilderIO/micro-agent

Default branch main · commit f33523ce · scanned 5/25/2026, 11:42:42 PM

GitHub: 4,307 stars · 379 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 BuilderIO/micro-agent, 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 iterative, test-driven code fixing

    Why:

    CURRENT
    An AI agent that writes and fixes code for you.
    COPY-PASTE FIX
    Micro Agent is a focused AI agent designed to *iteratively generate and fix code until all test cases pass*, automating the tedious debugging loop often associated with LLM-generated code.
  • hightopics#2
    Refine repository topics to be more specific and remove irrelevant ones

    Why:

    CURRENT
    agent, ai, figma, javascript, react, typescript
    COPY-PASTE FIX
    agent, ai, javascript, react, typescript, code-generation, code-fixing, llm-agent, test-driven-development, autonomous-agent
  • mediumabout#3
    Enhance the repository description to emphasize iterative, test-driven code fixing

    Why:

    CURRENT
    An AI agent that writes (actually useful) code for you
    COPY-PASTE FIX
    An AI agent that iteratively writes and fixes code by generating tests and ensuring all pass, automating the LLM debugging loop.

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 BuilderIO/micro-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Actions
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Actions · recommended 2×
  2. Jenkins · recommended 2×
  3. Jest · recommended 2×
  4. GitLab CI/CD · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    How can I automate fixing and iterating on AI-generated code until tests pass?
    you: not recommended
    AI recommended (in order):
    1. GitHub Actions
    2. GitLab CI/CD
    3. Jenkins
    4. OpenAI API
    5. GPT-4
    6. GPT-3.5 Turbo
    7. Anthropic Claude API
    8. Google Gemini API
    9. LangChain
    10. LlamaIndex
    11. Pytest
    12. Jest
    13. Mocha
    14. NUnit
    15. JUnit
    16. GitPython
    17. NodeGit
    18. Octokit.js
    19. Docker
    20. Podman

    AI recommended 20 alternatives but never named BuilderIO/micro-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to generate functional React or JavaScript code from a prompt, with automated testing?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. GitHub Actions
    3. Jest
    4. React Testing Library
    5. Codeium
    6. GitLab CI
    7. Jenkins
    8. Tabnine
    9. OpenAI Codex API
    10. Playwright
    11. Cypress
    12. Replit AI
    13. Cursor

    AI recommended 13 alternatives but never named BuilderIO/micro-agent. 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 BuilderIO/micro-agent?
    pass
    AI named BuilderIO/micro-agent explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of BuilderIO/micro-agent. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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BuilderIO/micro-agent — RepoGEO report