RRepoGEO

REPOGEO REPORT · LITE

alinaqi/claude-bootstrap

Default branch main · commit 96d605ab · scanned 6/17/2026, 4:43:28 PM

GitHub: 694 stars · 59 forks

AI VISIBILITY SCORE
40 /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
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 alinaqi/claude-bootstrap, 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.

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 alinaqi/claude-bootstrap
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitLab CI/CD
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitLab CI/CD · recommended 1×
  2. CodeClimate · recommended 1×
  3. SonarQube · recommended 1×
  4. GitHub Actions · recommended 1×
  5. Azure DevOps Pipelines · recommended 1×
  • CATEGORY QUERY
    How to enforce TDD and quality gates for AI-generated code with persistent context?
    you: not recommended
    AI recommended (in order):
    1. GitLab CI/CD
    2. CodeClimate
    3. SonarQube
    4. GitHub Actions
    5. Azure DevOps Pipelines
    6. Pylint
    7. ESLint
    8. Black
    9. MyPy
    10. Pytest
    11. JUnit
    12. Jest
    13. NUnit
    14. Great Expectations
    15. MLflow
    16. Deepchecks
    17. Evidently AI
    18. Pre-commit

    AI recommended 18 alternatives but never named alinaqi/claude-bootstrap. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good developer tools for orchestrating and routing tasks across multiple large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Microsoft Semantic Kernel
    5. OpenAI Functions/Tools
    6. LiteLLM
    7. Guidance

    AI recommended 7 alternatives but never named alinaqi/claude-bootstrap. 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 alinaqi/claude-bootstrap?
    pass
    AI named alinaqi/claude-bootstrap explicitly

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

  • If a team adopts alinaqi/claude-bootstrap in production, what risks or prerequisites should they evaluate first?
    pass
    AI named alinaqi/claude-bootstrap 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 alinaqi/claude-bootstrap solve, and who is the primary audience?
    pass
    AI named alinaqi/claude-bootstrap 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 alinaqi/claude-bootstrap. 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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HTML
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alinaqi/claude-bootstrap — 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