RRepoGEO

REPOGEO REPORT · LITE

gi-dellav/zerostack

Default branch main · commit ad3c8c37 · scanned 6/1/2026, 2:53:11 PM

GitHub: 1,061 stars · 68 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 gi-dellav/zerostack, 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 identity

    Why:

    CURRENT
    # zerostack
    Minimal coding agent written in Rust, inspired by pi and opencode.
    COPY-PASTE FIX
    # zerostack: A Minimal, High-Performance Rust Coding Agent
    
    zerostack is a standalone coding agent application written in Rust, inspired by pi and opencode. Its name signifies a focus on minimal overhead and efficient design, distinguishing it from generic "stack" frameworks or ML libraries.
  • mediumreadme#2
    Add a 'What zerostack is (and isn't)' section to the README

    Why:

    COPY-PASTE FIX
    ## What zerostack is (and isn't)
    
    zerostack is a complete, ready-to-run coding agent. It is not an LLM inference library (like candle or tch-rs), nor is it a web framework or a data structure implementation. It provides a full TUI experience for interacting with multiple LLM providers to assist with coding tasks.
  • lowtopics#3
    Add more specific topics related to key features

    Why:

    CURRENT
    agent, agentic-ai, agentic-coding, agents, ai, claude-code, coding-agent, llm, rust, rust-lang
    COPY-PASTE FIX
    agent, agentic-ai, agentic-coding, agents, ai, claude-code, coding-agent, llm, rust, rust-lang, tui, terminal-ui, multi-llm, session-management

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 gi-dellav/zerostack
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
candle
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. candle · recommended 1×
  2. tch-rs · recommended 1×
  3. llm · recommended 1×
  4. tract · recommended 1×
  5. rust-bert · recommended 1×
  • CATEGORY QUERY
    Looking for a high-performance, memory-efficient AI coding agent built with Rust.
    you: not recommended
    AI recommended (in order):
    1. candle
    2. tch-rs
    3. llm
    4. tract
    5. rust-bert
    6. ndarray

    AI recommended 6 alternatives but never named gi-dellav/zerostack. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some coding agents supporting multiple LLM providers and TUI session management?
    you: not recommended
    AI recommended (in order):
    1. OpenDevin
    2. smol-ai/developer (smol-ai/developer)
    3. GPT-Engineer
    4. Auto-GPT
    5. AgentOps
    6. Cursor

    AI recommended 6 alternatives but never named gi-dellav/zerostack. 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 gi-dellav/zerostack?
    pass
    AI named gi-dellav/zerostack explicitly

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

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