RRepoGEO

REPOGEO REPORT · LITE

butterbase-ai/butterbase

Default branch main · commit e56597b3 · scanned 6/5/2026, 11:17:05 PM

GitHub: 1,313 stars · 105 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, 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
  • highhomepage#1
    Add homepage URL to repository metadata

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://butterbase.ai
  • hightopics#2
    Add explicit AI-related keywords to repository topics

    Why:

    CURRENT
    baas, backend-as-a-service, mcp, open-source, postgres, supabase-alternative, typescript
    COPY-PASTE FIX
    baas, backend-as-a-service, mcp, open-source, postgres, supabase-alternative, typescript, ai, llm, rag, artificial-intelligence
  • mediumreadme#3
    Clarify Postgres database choice to counter AI hallucination

    Why:

    CURRENT
    Butterbase gives you the building blocks for AI-driven applications without lock-in: a Postgres-backed backend with row-level security, serverless functions, an LLM gateway, realtime subscriptions, key-value store, file storage, RAG, durable per-key actors, and a built-in **Model Context Protocol (MCP) server** so agents can operate your backend with tools instead of glue code.
    COPY-PASTE FIX
    Butterbase gives you the building blocks for AI-driven applications without lock-in: a **Postgres-backed backend** (chosen for its robust, scalable, and concurrent capabilities, unlike embedded databases such as SQLite), with row-level security, serverless functions, an LLM gateway, realtime subscriptions, key-value store, file storage, RAG, durable per-key actors, and a built-in **Model Context Protocol (MCP) server** so agents can operate your backend with tools instead of glue code.

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
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Supabase
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Supabase · recommended 1×
  2. Appwrite · recommended 1×
  3. Nhost · recommended 1×
  4. Parse Platform · recommended 1×
  5. Strapi · recommended 1×
  • CATEGORY QUERY
    What open-source backend-as-a-service options exist for AI-driven application development?
    you: not recommended
    AI recommended (in order):
    1. Supabase
    2. Appwrite
    3. Nhost
    4. Parse Platform
    5. Strapi
    6. Hasura

    AI recommended 6 alternatives but never named butterbase-ai/butterbase. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a self-hostable backend service with Postgres, authentication, and serverless functions.
    you: not recommended
    AI recommended (in order):
    1. Supabase (supabase/supabase)
    2. Appwrite (appwrite/appwrite)
    3. Nhost (nhost/nhost)
    4. Strapi (strapi/strapi)
    5. OpenFaaS (openfaas/faas)
    6. Kubeless (kubeless/kubeless)
    7. Directus (directus/directus)
    8. Knative
    9. Hasura (hasura/graphql-engine)

    AI recommended 9 alternatives but never named butterbase-ai/butterbase. 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?
    pass
    AI named butterbase-ai/butterbase 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 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named butterbase-ai/butterbase 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 solve, and who is the primary audience?
    pass
    AI named butterbase-ai/butterbase explicitly

    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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