RRepoGEO

REPOGEO REPORT · LITE

yzhao062/agent-style

Default branch main · commit e3f14369 · scanned 6/15/2026, 4:31:44 AM

GitHub: 503 stars · 26 forks

AI VISIBILITY SCORE
28 /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
2 / 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 yzhao062/agent-style, 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
    Add a clarifying statement to the README's opening

    Why:

    COPY-PASTE FIX
    **A writing style guide and ruleset for AI agent output, not an agent development framework or an LLM.**
  • highlicense#2
    Add a LICENSE file

    Why:

    COPY-PASTE FIX
    Create a LICENSE file with the MIT License text.
  • mediumhomepage#3
    Set the repository homepage

    Why:

    COPY-PASTE FIX
    Set the repository homepage to `https://pypi.org/project/agent-style/`.

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 yzhao062/agent-style
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 · recommended 1×
  2. Anthropic Claude 3 · recommended 1×
  3. Google Gemini · recommended 1×
  4. Cohere Command R+ · recommended 1×
  5. huggingface/transformers · recommended 1×
  • CATEGORY QUERY
    How to make my AI assistant generate more professional and coherent technical writing?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. Anthropic Claude 3
    3. Google Gemini
    4. Cohere Command R+
    5. Hugging Face Transformers (huggingface/transformers)
    6. Writer
    7. Jasper

    AI recommended 7 alternatives but never named yzhao062/agent-style. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a style guide or ruleset to enhance AI agent code generation output.
    you: not recommended
    AI recommended (in order):
    1. Google Java Style Guide
    2. Google C++ Style Guide
    3. Google Python Style Guide
    4. Black (psf/black)
    5. ESLint (eslint/eslint)
    6. Prettier (prettier/prettier)
    7. Conventional Commits
    8. Microsoft C# Coding Conventions
    9. Rustfmt (rust-lang/rustfmt)

    AI recommended 9 alternatives but never named yzhao062/agent-style. 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 yzhao062/agent-style?
    pass
    AI named yzhao062/agent-style explicitly

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

  • If a team adopts yzhao062/agent-style in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yzhao062/agent-style 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 yzhao062/agent-style solve, and who is the primary audience?
    pass
    AI did not name yzhao062/agent-style — 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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yzhao062/agent-style — 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