RRepoGEO

REPOGEO REPORT · LITE

PolyArch/humanize

Default branch main · commit 0ec921a3 · scanned 6/1/2026, 10:17:47 PM

GitHub: 974 stars · 79 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 PolyArch/humanize, 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 README H1 and opening paragraph to clarify purpose

    Why:

    CURRENT
    # Humanize

**Current Version: 1.16.0**

> Derived from the GAAC (GitHub-as-a-Context) project.

A Claude Code plugin that provides iterative development with independent AI review. Build with confidence through continuous feedback loops.
    COPY-PASTE FIX
    # Humanize: Iterative AI Code Development with Independent Review

**PolyArch/humanize** is a Claude Code plugin that provides iterative development with independent AI review, ensuring quality and continuous feedback loops for LLM-generated code. Build with confidence through continuous feedback loops.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumabout#3
    Update repository description to be more specific

    Why:

    CURRENT
    From Automated Idea Factory to Realization
    COPY-PASTE FIX
    Iterative AI code development with independent review for LLM-generated code. A Claude Code plugin for continuous feedback loops.

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 PolyArch/humanize
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot Chat
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot Chat · recommended 1×
  2. Cursor · recommended 1×
  3. Codeium · recommended 1×
  4. Tabnine Chat · recommended 1×
  5. Snyk Code · recommended 1×
  • CATEGORY QUERY
    How to get continuous AI code review and iterative refinement for LLM-generated code?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Chat
    2. Cursor
    3. Codeium
    4. Tabnine Chat
    5. Snyk Code
    6. CodiumAI

    AI recommended 6 alternatives but never named PolyArch/humanize. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are tools for ensuring quality and independent review in AI-assisted software development?
    you: not recommended
    AI recommended (in order):
    1. MLflow (mlflow/mlflow)
    2. Weights & Biases (wandb/wandb)
    3. Deepchecks (deepchecks/deepchecks)
    4. Fiddler AI
    5. Great Expectations (great-expectations/great_expectations)
    6. Tecton
    7. Snyk (snyk/snyk)

    AI recommended 7 alternatives but never named PolyArch/humanize. 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 PolyArch/humanize?
    pass
    AI named PolyArch/humanize explicitly

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

  • If a team adopts PolyArch/humanize in production, what risks or prerequisites should they evaluate first?
    pass
    AI named PolyArch/humanize 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 PolyArch/humanize solve, and who is the primary audience?
    pass
    AI named PolyArch/humanize 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
  • Prioritized action items8 vs 3 in Lite