RRepoGEO

REPOGEO REPORT · LITE

breezewish/CodexPotter

Default branch v2 · commit b141cc0d · scanned 6/4/2026, 3:26:44 AM

GitHub: 567 stars · 53 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 breezewish/CodexPotter, 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 clearly state its core function

    Why:

    CURRENT
    CodexPotter is a better /goal replacement —— it continuously reconciles code base toward your instructed goal or state (Ralph Wiggum pattern):
    COPY-PASTE FIX
    CodexPotter is an autonomous agent for iterative code refinement, continuously reconciling your codebase toward an instructed goal or desired state using large language models (LLMs).
  • hightopics#2
    Add broader, more descriptive topics for better categorization

    Why:

    CURRENT
    codex, codex-cli, gpt, openai, ralph, ralph-loop, ralph-wiggum
    COPY-PASTE FIX
    codex, codex-cli, gpt, openai, llm-ops, code-generation, ai-assisted-development, code-refinement, autonomous-agents, iterative-development
  • mediumabout#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/breezewish/CodexPotter

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 breezewish/CodexPotter
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. GitHub Copilot Chat · recommended 1×
  4. Cursor.sh · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    How to continuously refine AI-generated code to meet specific development goals?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Chat
    2. Cursor.sh
    3. OpenAI API
    4. Anthropic Claude API
    5. DeepSource
    6. SonarQube
    7. Pytest
    8. JUnit
    9. NUnit
    10. Jupyter Notebooks
    11. Google Colab
    12. Git
    13. LangChain
    14. LlamaIndex

    AI recommended 14 alternatives but never named breezewish/CodexPotter. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help automate iterative code refinement and self-correction using large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. OpenAI Assistants API
    5. GitHub Copilot
    6. Pydantic
    7. pytest

    AI recommended 7 alternatives but never named breezewish/CodexPotter. 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 breezewish/CodexPotter?
    pass
    AI named breezewish/CodexPotter explicitly

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

  • If a team adopts breezewish/CodexPotter in production, what risks or prerequisites should they evaluate first?
    pass
    AI named breezewish/CodexPotter 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 breezewish/CodexPotter solve, and who is the primary audience?
    pass
    AI named breezewish/CodexPotter 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 breezewish/CodexPotter. 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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MARKDOWN (README)
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breezewish/CodexPotter — 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