RRepoGEO

REPOGEO REPORT · LITE

ekkinox/yai

Default branch main · commit 5fbe0f3a · scanned 6/10/2026, 12:46:54 PM

GitHub: 867 stars · 59 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
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 ekkinox/yai, 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
    Strengthen README's opening to explicitly mention command generation

    Why:

    CURRENT
    # 🚀 Yai 💬 - AI powered terminal assistant

> Unleash the power of artificial intelligence to streamline your command line experience.
    COPY-PASTE FIX
    # 🚀 Yai 💬 - AI powered terminal assistant for generating & executing shell commands

> Unleash the power of artificial intelligence to streamline your command line experience by generating and executing shell commands directly from your terminal. Yai uses OpenAI ChatGPT to build and run commands for you, based on your natural language descriptions.
  • mediumtopics#2
    Add more specific topics related to shell command generation

    Why:

    CURRENT
    artificial-intelligence, bubbletea, chatgpt, cli, command-line-tool, golang, gpt-3, gpt-4, openai, terminal, tui
    COPY-PASTE FIX
    artificial-intelligence, bubbletea, chatgpt, cli, command-line-tool, golang, gpt-3, gpt-4, openai, terminal, tui, shell-commands, command-generation, cli-ai-assistant
  • lowreadme#3
    Highlight Go implementation as a core differentiator in README

    Why:

    COPY-PASTE FIX
    Built with Go, Yai is a single, fast, and self-contained binary with no external runtime dependencies, offering a seamless terminal AI experience. (Insert this sentence after the initial descriptive paragraph, before 'What is Yai ?')

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 ekkinox/yai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Fig AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Fig AI · recommended 1×
  2. GitHub Copilot CLI · recommended 1×
  3. Shell Genie · recommended 1×
  4. Aider · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    How can I use an AI assistant to generate and execute shell commands directly from my terminal?
    you: not recommended
    AI recommended (in order):
    1. Fig AI
    2. GitHub Copilot CLI
    3. Shell Genie
    4. Aider
    5. OpenAI API
    6. Anthropic API
    7. Google Gemini API
    8. TermGPT

    AI recommended 8 alternatives but never named ekkinox/yai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best command line tools for integrating large language model capabilities into my workflow?
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. OpenAI CLI
    3. LM Studio
    4. Hugging Face `transformers` (huggingface/transformers)
    5. `curl` (curl/curl)
    6. `llama.cpp` (ggerganov/llama.cpp)

    AI recommended 6 alternatives but never named ekkinox/yai. 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 ekkinox/yai?
    pass
    AI named ekkinox/yai explicitly

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

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

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

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ekkinox/yai — 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