RRepoGEO

REPOGEO REPORT · LITE

butterbase-ai/butterbase-skills

Default branch main · commit a9e10994 · scanned 6/30/2026, 7:27:22 PM

GitHub: 532 stars · 40 forks

AI VISIBILITY SCORE
35 /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
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 butterbase-ai/butterbase-skills, 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 role for AI agents managing backend services

    Why:

    CURRENT
    Claude Code plugin for Butterbase — the AI-Native Backend-as-a-Service.
    COPY-PASTE FIX
    A plugin for AI agents (like Claude Code) to build full applications and manage backend services on Butterbase, the AI-Native Backend-as-a-Service. It provides 42+ tools for schema design, deployment, debugging, and serverless function development.
  • mediumhomepage#2
    Add the Butterbase homepage URL

    Why:

    COPY-PASTE FIX
    https://butterbase.ai
  • lowtopics#3
    Expand topics with more specific backend and AI agent functionality keywords

    Why:

    CURRENT
    agent-skills, ai-agents, backend-as-a-service, butterbase, claude, claude-code, mcp, skills
    COPY-PASTE FIX
    agent-skills, ai-agents, backend-as-a-service, butterbase, claude, claude-code, mcp, skills, ai-app-development, database-schema-design, serverless-functions, backend-management

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 butterbase-ai/butterbase-skills
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot X
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot X · recommended 1×
  2. AWS CodeWhisperer · recommended 1×
  3. Google Cloud Vertex AI Code Assist · recommended 1×
  4. OpenAI API · recommended 1×
  5. Terraform · recommended 1×
  • CATEGORY QUERY
    How can AI agents build full applications and manage backend services?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot X
    2. AWS CodeWhisperer
    3. Google Cloud Vertex AI Code Assist
    4. OpenAI API
    5. Terraform
    6. Kubernetes
    7. Vercel AI SDK

    AI recommended 7 alternatives but never named butterbase-ai/butterbase-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help AI assistants design database schemas and access backend development utilities?
    you: not recommended
    AI recommended (in order):
    1. SQLAlchemy
    2. Prisma
    3. Django ORM
    4. TypeORM
    5. Liquibase
    6. Flyway
    7. Drizzle ORM

    AI recommended 7 alternatives but never named butterbase-ai/butterbase-skills. 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 butterbase-ai/butterbase-skills?
    pass
    AI named butterbase-ai/butterbase-skills explicitly

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

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

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

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