RRepoGEO

REPOGEO REPORT · LITE

shotgun-sh/shotgun

Default branch main · commit 4d344d5a · scanned 6/9/2026, 4:57:28 PM

GitHub: 679 stars · 34 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 shotgun-sh/shotgun, 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
  • highabout#1
    Update GitHub 'About' description for disambiguation

    Why:

    CURRENT
    Spec Driven Development 🤠 Write codebase-aware specs for AI coding agents so they don't derail.
    COPY-PASTE FIX
    Shotgun (shotgun-sh/shotgun) is a CLI for Spec-Driven Development: write codebase-aware specs for AI coding agents (like Cursor, Claude Code) so they don't derail. Not a web server or remote execution tool.
  • mediumcomparison#2
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., 'Shotgun vs. The Alternatives', that explicitly compares Shotgun to tools like Jira, Linear, OpenAPI, or other AI code generation frameworks. Highlight how Shotgun's codebase-aware, spec-driven approach for AI agents differs from generic project management, API definition, or unguided AI coding.
  • lowtopics#3
    Expand GitHub topics with more specific AI/LLM keywords

    Why:

    CURRENT
    cli, codebase-indexing, developer-tools, prd, spec-driven-development, specification-generation, technical-documentation
    COPY-PASTE FIX
    cli, codebase-indexing, developer-tools, prd, spec-driven-development, specification-generation, technical-documentation, ai-development, llm-ops, agent-orchestration, code-generation, developer-productivity

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 shotgun-sh/shotgun
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Jira
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Jira · recommended 1×
  2. Linear · recommended 1×
  3. Asana · recommended 1×
  4. Confluence · recommended 1×
  5. Notion · recommended 1×
  • CATEGORY QUERY
    How to guide AI coding assistants to stay on track for complex feature development?
    you: not recommended
    AI recommended (in order):
    1. Jira
    2. Linear
    3. Asana
    4. Confluence
    5. Notion
    6. Miro
    7. GitLab
    8. GitHub
    9. Bitbucket
    10. Jest
    11. Pytest
    12. JUnit
    13. GitHub Actions
    14. GitLab CI/CD
    15. Jenkins
    16. ESLint
    17. Black
    18. Prettier

    AI recommended 18 alternatives but never named shotgun-sh/shotgun. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to create detailed, codebase-aware specifications for AI code generation agents?
    you: not recommended
    AI recommended (in order):
    1. OpenAPI Specification
    2. Swagger
    3. JSON Schema
    4. Protocol Buffers
    5. gRPC
    6. YAML
    7. Markdown
    8. Pydantic
    9. ANTLR
    10. Xtext

    AI recommended 10 alternatives but never named shotgun-sh/shotgun. 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 shotgun-sh/shotgun?
    pass
    AI named shotgun-sh/shotgun explicitly

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

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

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

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shotgun-sh/shotgun — 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