RRepoGEO

REPOGEO REPORT · LITE

CodebuffAI/codebuff

Default branch main · commit 83a395dc · scanned 5/16/2026, 10:41:46 PM

GitHub: 5,353 stars · 625 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 CodebuffAI/codebuff, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • mediumreadme#1
    Strengthen README's opening sentence to highlight terminal-first and open-source nature

    Why:

    CURRENT
    **Codebuff** is an open-source AI coding assistant that edits your codebase through natural language instructions.
    COPY-PASTE FIX
    **Codebuff** is an open-source, terminal-first AI coding assistant that edits your codebase through natural language instructions, designed for precise, multi-agent driven changes.
  • lowreadme#2
    Add a 'Why Codebuff?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Why Codebuff?' or 'Comparison' to the README. Start with a sentence like: 'Unlike general-purpose AI assistants like GitHub Copilot Chat or IDE-bound tools like Cursor, Codebuff is an open-source, terminal-first solution that uses a specialized multi-agent system for precise, context-aware codebase modifications, often outperforming single-model tools on complex tasks.'

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 CodebuffAI/codebuff
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cursor
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Cursor · recommended 2×
  2. GitHub Copilot Chat · recommended 1×
  3. Codeium · recommended 1×
  4. Tabnine Chat · recommended 1×
  5. Continue · recommended 1×
  • CATEGORY QUERY
    What AI tool can help me modify my codebase using natural language commands?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Chat
    2. Cursor
    3. Codeium
    4. Tabnine Chat
    5. Continue
    6. OpenAI API

    AI recommended 6 alternatives but never named CodebuffAI/codebuff. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source AI assistant for precise code edits directly from the terminal.
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Continue (continue-page/continue)
    3. aider (paul-gauthier/aider)
    4. smol-developer (smol-ai/smol-developer)
    5. Open Interpreter (OpenInterpreter/open-interpreter)
    6. Code Llama
    7. Ollama (ollama/ollama)
    8. LM Studio

    AI recommended 8 alternatives but never named CodebuffAI/codebuff. 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 CodebuffAI/codebuff?
    pass
    AI named CodebuffAI/codebuff explicitly

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

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

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

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CodebuffAI/codebuff — 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