RRepoGEO

REPOGEO REPORT · LITE

covibes/zeroshot

Default branch main · commit 3077e372 · scanned 6/27/2026, 4:11:30 AM

GitHub: 1,575 stars · 135 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)

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

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 covibes/zeroshot, 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 the README H1 and opening paragraph to clarify purpose

    Why:

    CURRENT
    # zeroshot CLI

Zeroshot is an open-source AI coding agent orchestration CLI that runs multi-agent workflows to autonomously implement, review, test, and verify code changes.
    COPY-PASTE FIX
    # zeroshot CLI: Your Autonomous AI Engineering Team for Verified Code

> **Important:** This project is an AI coding agent orchestration CLI, *not* a zero-shot text classification library. Zeroshot runs multi-agent workflows to autonomously implement, review, test, and verify code changes, acting as your autonomous engineering team.
  • mediumtopics#2
    Add specific topics emphasizing verified code and autonomous development

    Why:

    CURRENT
    agent-loops, agent-orchestration, agentic-workflow, ai-agent, ai-agents, autonomous-agents, claude, cli, codex, coding-assistant, developer-tools, gemini, loop-engineering, meta-harness, multi-agent, vibecoding
    COPY-PASTE FIX
    agent-loops, agent-orchestration, agentic-workflow, ai-agent, ai-agents, autonomous-agents, claude, cli, codex, coding-assistant, developer-tools, gemini, loop-engineering, meta-harness, multi-agent, vibecoding, verified-code, code-review-automation, autonomous-software-development, production-ready-ai-code, ai-driven-development, software-engineering-automation
  • lowcomparison#3
    Add a 'Comparison' section to the README differentiating from code generation tools

    Why:

    COPY-PASTE FIX
    ## Comparison to Code Generation & Completion Tools

Unlike tools like GitHub Copilot, Cursor, or CodiumAI which focus on code generation and completion, Zeroshot orchestrates an autonomous engineering team to implement, review, and *verify* code changes through multi-agent loops, prioritizing correctness and production readiness.

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 covibes/zeroshot
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. OpenAI API · recommended 2×
  3. CodiumAI · recommended 2×
  4. GitHub Copilot · recommended 1×
  5. Codeium · recommended 1×
  • CATEGORY QUERY
    How can I automate code implementation, review, and testing using AI agents?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Cursor
    3. Codeium
    4. OpenAI API
    5. Azure OpenAI Service
    6. GPT-4
    7. Claude 3 Opus
    8. CodiumAI
    9. AlphaCode 2
    10. SWE-agent

    AI recommended 10 alternatives but never named covibes/zeroshot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a CLI tool that generates production-ready code with independent AI verification.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot CLI
    2. AWS CodeWhisperer
    3. Tabnine
    4. OpenAI API
    5. Cursor
    6. CodiumAI

    AI recommended 6 alternatives but never named covibes/zeroshot. 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 covibes/zeroshot?
    pass
    AI named covibes/zeroshot explicitly

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

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

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

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covibes/zeroshot — 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