RRepoGEO

REPOGEO REPORT · LITE

jshachm/pi-rs

Default branch main · commit c0cd3dd7 · scanned 6/6/2026, 6:57:40 AM

GitHub: 610 stars · 79 forks

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 jshachm/pi-rs, 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 repository description to clarify purpose

    Why:

    CURRENT
    基于pi-mono，rust轻量化版本
    COPY-PASTE FIX
    A Rust-based terminal AI programming assistant, inspired by pi-coding-agent, offering multi-LLM support and a TUI.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    rust, ai, llm, terminal, tui, coding-assistant, programming-assistant, cli, agent
  • lowhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://github.com/jshachm/pi-rs

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 jshachm/pi-rs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Continue
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Continue · recommended 1×
  2. smol-ai/smol-developer · recommended 1×
  3. aider · recommended 1×
  4. Open Interpreter · recommended 1×
  5. ShellGPT (sgpt) · recommended 1×
  • CATEGORY QUERY
    Looking for a command-line AI coding assistant that supports multiple LLM providers.
    you: not recommended
    AI recommended (in order):
    1. Continue
    2. smol-ai/smol-developer (smol-ai/smol-developer)
    3. aider
    4. Open Interpreter
    5. ShellGPT (sgpt)
    6. Code Llama
    7. Ollama
    8. LM Studio

    AI recommended 8 alternatives but never named jshachm/pi-rs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some Rust-based interactive terminal AI tools for programming assistance?
    you: not recommended
    AI recommended (in order):
    1. GPT-CLI
    2. AIT
    3. Neovim
    4. Helix
    5. OpenAI API
    6. Hugging Face Inference API
    7. reqwest
    8. serde
    9. ratatui
    10. crossterm

    AI recommended 10 alternatives but never named jshachm/pi-rs. 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 jshachm/pi-rs?
    pass
    AI did not name jshachm/pi-rs — 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 jshachm/pi-rs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jshachm/pi-rs 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 jshachm/pi-rs solve, and who is the primary audience?
    pass
    AI did not name jshachm/pi-rs — 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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jshachm/pi-rs — 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