RRepoGEO

REPOGEO REPORT · LITE

JuliusBrussee/caveman-code

Default branch main · commit d9a441ec · scanned 6/18/2026, 3:38:01 PM

GitHub: 531 stars · 57 forks

AI VISIBILITY SCORE
22 /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
1 / 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 JuliusBrussee/caveman-code, 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
  • highabout#1
    Add a concise 'About' description for the repository

    Why:

    COPY-PASTE FIX
    A terminal AI coding agent that reduces token usage by generating concise, 'caveman-style' responses for development tasks.
  • mediumreadme#2
    Add a dedicated 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## 🆚 Comparison to other AI Agents

Caveman Code stands apart from other AI coding assistants like GitHub Copilot, Tabnine, or Cursor by prioritizing extreme token efficiency. While these tools offer comprehensive features, Caveman Code focuses on delivering the same quality of answer with significantly fewer tokens, leading to lower costs and faster responses. See 'The Trick' section for a direct example of token savings.

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 JuliusBrussee/caveman-code
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. Tabnine · recommended 1×
  3. CodeWhisperer · recommended 1×
  4. davidhalter/jedi · recommended 1×
  5. ChatGPT · recommended 1×
  • CATEGORY QUERY
    How can I reduce token usage when using AI coding assistants for development tasks?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Tabnine
    3. CodeWhisperer
    4. Jedi (davidhalter/jedi)
    5. ChatGPT
    6. Google Bard
    7. Ollama (ollama/ollama)

    AI recommended 7 alternatives but never named JuliusBrussee/caveman-code. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are efficient command-line AI coding agents for quick code generation and refactoring?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. aider (paul-gauthier/aider)
    3. Continue (Continue-team/continue)
    4. OpenAI API
    5. GitHub Copilot CLI

    AI recommended 5 alternatives but never named JuliusBrussee/caveman-code. 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 JuliusBrussee/caveman-code?
    pass
    AI did not name JuliusBrussee/caveman-code — likely talking about a different project

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

  • If a team adopts JuliusBrussee/caveman-code in production, what risks or prerequisites should they evaluate first?
    pass
    AI named JuliusBrussee/caveman-code 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 JuliusBrussee/caveman-code solve, and who is the primary audience?
    pass
    AI did not name JuliusBrussee/caveman-code — likely talking about a different project

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

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JuliusBrussee/caveman-code — 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