RRepoGEO

REPOGEO REPORT · LITE

fivetaku/gptaku_plugins

Default branch main · commit 92e44ccd · scanned 6/28/2026, 3:42:44 PM

GitHub: 555 stars · 73 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 fivetaku/gptaku_plugins, 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
    Clarify 'GPTaku' is for 'Claude Code' in the README's main title/tagline

    Why:

    CURRENT
    # GPTaku Plugins
    
    **Stop explaining what you want — let Claude Code do it.**
    COPY-PASTE FIX
    # GPTaku Plugins for Claude Code
    
    **Stop explaining what you want — let Claude Code do it.**
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    claude-code, plugins, marketplace, ai-assistant, code-review, design-systems, developer-tools
  • highlicense#3
    Add a LICENSE file to clarify usage terms

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root.

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 fivetaku/gptaku_plugins
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 2×
  2. Amazon CodeWhisperer · recommended 1×
  3. Google Gemini Code Assist · recommended 1×
  4. microsoft/pyright · recommended 1×
  5. rust-lang/rust-analyzer · recommended 1×
  • CATEGORY QUERY
    How can I enhance my AI code assistant with specialized development tools and utilities?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Amazon CodeWhisperer
    3. Google Gemini Code Assist
    4. pyright (microsoft/pyright)
    5. rust-analyzer (rust-lang/rust-analyzer)
    6. TypeScript Language Server (microsoft/TypeScript)
    7. gopls (golang/tools)
    8. ast module
    9. libcst (Instagram/LibCST)
    10. Babel (babel/babel)
    11. ts-morph (dsherret/ts-morph)
    12. Clang LibTooling (llvm/llvm-project)
    13. ESLint (eslint/eslint)
    14. Pylint (PyCQA/pylint)
    15. Flake8 (PyCQA/flake8)
    16. Ruff (astral-sh/ruff)
    17. Clippy (rust-lang/rust-clippy)
    18. GoVet (golang/go)
    19. GitPython (gitpython-developers/GitPython)
    20. GitHub API
    21. GitLab API
    22. Docker
    23. Podman (containers/podman)

    AI recommended 23 alternatives but never named fivetaku/gptaku_plugins. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best AI assistant plugins for automating code review and design system extraction?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. DeepSource
    3. CodeGuru Reviewer
    4. Anima App
    5. Locofy.ai
    6. Supernova
    7. Storybook
    8. Chromatic

    AI recommended 8 alternatives but never named fivetaku/gptaku_plugins. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 fivetaku/gptaku_plugins?
    pass
    AI named fivetaku/gptaku_plugins explicitly

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

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

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

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fivetaku/gptaku_plugins — 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