RRepoGEO

REPOGEO REPORT · LITE

glebkudr/shotgun_code

Default branch main · commit c243e82f · scanned 5/22/2026, 7:31:49 PM

GitHub: 2,003 stars · 230 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /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
1 / 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 glebkudr/shotgun_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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening to explicitly state its category

    Why:

    CURRENT
    **Tired of Cursor cutting off context, missing your files, and spitting out empty responses?Shotgun** is the bridge between your local codebase and the world's most powerful LLMs.
    COPY-PASTE FIX
    **Shotgun** is a desktop application that acts as an intelligent LLM client for your local codebase, designed for developers who need to send structured project context to models like GPT-4o, Gemini, or OpenRouter. Tired of Cursor cutting off context, missing your files, and spitting out empty responses?
  • mediumreadme#2
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    This project is released under a custom license. Please refer to the `LICENSE` file for full details.

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 glebkudr/shotgun_code
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cursor
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Cursor · recommended 2×
  2. Continue.dev · recommended 2×
  3. GitHub Copilot Chat · recommended 1×
  4. ChatGPT Plus/Enterprise · recommended 1×
  5. Claude (Anthropic) · recommended 1×
  • CATEGORY QUERY
    How to send entire codebase context to large language models for analysis?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Chat
    2. ChatGPT Plus/Enterprise
    3. Claude (Anthropic)
    4. Cursor
    5. Codeium
    6. Continue.dev
    7. LlamaIndex
    8. LangChain
    9. Chroma
    10. Pinecone

    AI recommended 10 alternatives but never named glebkudr/shotgun_code. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to intelligently select relevant code files and prompt LLMs directly from local project?
    you: not recommended
    AI recommended (in order):
    1. Continue.dev
    2. Cursor
    3. aider
    4. smol-ai/smol-developer (smol-ai/smol-developer)
    5. CodeGPT (VS Code Extension)
    6. Open Interpreter

    AI recommended 6 alternatives but never named glebkudr/shotgun_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
    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 glebkudr/shotgun_code?
    pass
    AI did not name glebkudr/shotgun_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 glebkudr/shotgun_code in production, what risks or prerequisites should they evaluate first?
    pass
    AI named glebkudr/shotgun_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 glebkudr/shotgun_code solve, and who is the primary audience?
    pass
    AI did not name glebkudr/shotgun_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?

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MARKDOWN (README)
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glebkudr/shotgun_code — 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