RRepoGEO

REPOGEO REPORT · LITE

the-open-engine/zeroshot

Default branch main · commit 0b51c602 · scanned 6/16/2026, 10:31:26 PM

GitHub: 1,508 stars · 129 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 the-open-engine/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's core value proposition

    Why:

    CURRENT
    # zeroshot CLI

> 🎉 New in v5.4: Now supports **OpenCode** CLI! Use Claude, Codex, Gemini, or OpenCode as your AI provider. Also supports **GitHub, GitLab, Jira, and Azure DevOps** as issue backends. See [Providers](#providers) and [Multi-Platform Issue Support](#multi-platform-issue-support).
    COPY-PASTE FIX
    # zeroshot CLI: Your Autonomous Engineering Team

> Zeroshot is an open-source AI coding agent orchestration CLI that runs multi-agent workflows to autonomously implement, review, test, and verify production-grade code changes. Built for tasks where correctness matters more than speed.

> 🎉 New in v5.4: Now supports **OpenCode** CLI! Use Claude, Codex, Gemini, or OpenCode as your AI provider. Also supports **GitHub, GitLab, Jira, and Azure DevOps** as issue backends. See [Providers](#providers) and [Multi-Platform Issue Support](#multi-platform-issue-support).
  • mediumreadme#2
    Add a 'Why Zeroshot?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Why Zeroshot? (vs. Generic AI Agents)

While many AI agent frameworks exist (e.g., Auto-GPT, CrewAI, LangChain), Zeroshot is purpose-built as an **autonomous engineering team in a CLI** focused specifically on **production-grade code implementation, review, testing, and verification**. Unlike broader frameworks, Zeroshot emphasizes:

- **Verified Changes:** Loops until changes are verified or rejected with actionable, reproducible failures, prioritizing correctness over speed.
- **Isolated Environments:** Runs implementers and validators in isolated workspaces (local, worktree, or Docker) for robust testing.
- **Production-Grade Focus:** Designed for tasks where the integrity and quality of the generated code are paramount.
- **CLI-Native Experience:** Seamlessly integrates into developer workflows from the command line.
  • lowtopics#3
    Remove non-standard 'vibecoding' topic

    Why:

    CURRENT
    agent-orchestration, agentic-workflow, ai-agent, ai-agents, autonomous-agents, claude, cli, codex, coding-assistant, developer-tools, gemini, generative-ai, github-automation, llm, llm-ops, llm-tools, multi-agent, vibecoding
    COPY-PASTE FIX
    agent-orchestration, agentic-workflow, ai-agent, ai-agents, autonomous-agents, claude, cli, codex, coding-assistant, developer-tools, gemini, generative-ai, github-automation, llm, llm-ops, llm-tools, multi-agent

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 the-open-engine/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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Cursor · recommended 1×
  2. Continue.dev · recommended 1×
  3. aider · recommended 1×
  4. OpenAI API · recommended 1×
  5. Anthropic API · recommended 1×
  • CATEGORY QUERY
    How can I automate fixing code issues using an AI agent from the command line?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Continue.dev
    3. aider
    4. OpenAI API
    5. Anthropic API
    6. GitHub Copilot CLI
    7. Cody (Sourcegraph) CLI

    AI recommended 7 alternatives but never named the-open-engine/zeroshot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a CLI tool that orchestrates multiple AI agents for verified code implementation.
    you: not recommended
    AI recommended (in order):
    1. Auto-GPT
    2. BabyAGI
    3. CrewAI
    4. LangChain CLI / LangServe
    5. Open Interpreter
    6. AgentOps

    AI recommended 6 alternatives but never named the-open-engine/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 the-open-engine/zeroshot?
    pass
    AI named the-open-engine/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 the-open-engine/zeroshot in production, what risks or prerequisites should they evaluate first?
    pass
    AI named the-open-engine/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 the-open-engine/zeroshot solve, and who is the primary audience?
    pass
    AI did not name the-open-engine/zeroshot — 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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the-open-engine/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