RRepoGEO

REPOGEO REPORT · LITE

popup-studio-ai/bkit-claude-code

Default branch main · commit f0775451 · scanned 6/4/2026, 8:47:15 PM

GitHub: 554 stars · 146 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 popup-studio-ai/bkit-claude-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

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README H1 to specify category and core value

    Why:

    CURRENT
    # bkit — AI Native Development OS
    COPY-PASTE FIX
    # bkit: Claude Code Plugin for Verified AI-Native Development
  • mediumtopics#2
    Expand topics to include key differentiators

    Why:

    CURRENT
    ai-agents, ai-driven-work, ai-native-development, bkit, claude-code, multi-language, pdca, pipeline, plugin-repo
    COPY-PASTE FIX
    ai-agents, ai-driven-work, ai-native-development, bkit, claude-code, multi-language, pdca, pipeline, plugin-repo, ai-code-generation, code-verification, design-spec-validation, context-engineering, ai-quality-assurance
  • lowabout#3
    Enhance repository description with core differentiator

    Why:

    CURRENT
    bkit Vibecoding Kit - PDCA methodology + Claude Code mastery for AI-native development
    COPY-PASTE FIX
    bkit: The Claude Code plugin for AI-native development, mastering PDCA and verifying AI-generated code against design specs.

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 popup-studio-ai/bkit-claude-code
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SonarQube
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. SonarQube · recommended 1×
  2. eslint/eslint · recommended 1×
  3. pylint-dev/pylint · recommended 1×
  4. checkstyle/checkstyle · recommended 1×
  5. Clang-Tidy · recommended 1×
  • CATEGORY QUERY
    How can I verify AI-generated code against design specifications for production quality?
    you: not recommended
    AI recommended (in order):
    1. SonarQube
    2. ESLint (eslint/eslint)
    3. Pylint (pylint-dev/pylint)
    4. Checkstyle (checkstyle/checkstyle)
    5. Clang-Tidy
    6. JUnit (junit-team/junit5)
    7. Pytest (pytest-dev/pytest)
    8. Jest (jestjs/jest)
    9. NUnit (nunit/nunit)
    10. Selenium WebDriver (SeleniumHQ/selenium)
    11. Cypress (cypress-io/cypress)
    12. JMeter
    13. TLA+
    14. Coq (coq/coq)
    15. SPIN
    16. GitHub Pull Requests
    17. GitLab Merge Requests
    18. Bitbucket Pull Requests
    19. Crucible
    20. Confluence
    21. Jira
    22. Swagger/OpenAPI
    23. Swagger UI (swagger-api/swagger-ui)
    24. DeepCode AI
    25. Snyk Code
    26. GitHub Copilot Chat
    27. ChatGPT Enterprise

    AI recommended 27 alternatives but never named popup-studio-ai/bkit-claude-code. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to streamline AI-native development, orchestrate agents, and manage context for robust software?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. BabyAGI
    6. CrewAI
    7. Microsoft Semantic Kernel

    AI recommended 7 alternatives but never named popup-studio-ai/bkit-claude-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
    pass

  • 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 popup-studio-ai/bkit-claude-code?
    pass
    AI did not name popup-studio-ai/bkit-claude-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 popup-studio-ai/bkit-claude-code in production, what risks or prerequisites should they evaluate first?
    pass
    AI named popup-studio-ai/bkit-claude-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 popup-studio-ai/bkit-claude-code solve, and who is the primary audience?
    pass
    AI named popup-studio-ai/bkit-claude-code explicitly

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite