RRepoGEO

REPOGEO REPORT · LITE

MayDay-wpf/snow-cli

Default branch main · commit e52598fd · scanned 6/30/2026, 1:16:55 PM

GitHub: 1,105 stars · 74 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 MayDay-wpf/snow-cli, 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
    Correct README H1 and explicitly disclaim Snowflake relation

    Why:

    CURRENT
    # snow-ai
...
_Agentic coding in your terminal_
    COPY-PASTE FIX
    # snow-cli: Agentic AI Coding in Your Terminal
...
_Agentic coding in your terminal_
**Note:** This project, `snow-cli`, is an AI coding agent and is **not** related to Snowflake or its CLI tools.
  • mediumreadme#2
    Add a concise introductory paragraph detailing multi-LLM AI coding

    Why:

    CURRENT
    _Agentic coding in your terminal_

</div>

## Thanks Developer
    COPY-PASTE FIX
    _Agentic coding in your terminal_
**Note:** This project, `snow-cli`, is an AI coding agent and is **not** related to Snowflake or its CLI tools.

snow-cli brings powerful agentic AI coding directly to your terminal, offering seamless compatibility with OpenAI, Gemini, Claude, and Deepseek. It empowers developers to integrate advanced AI capabilities into their command-line workflow for faster, more efficient coding.

</div>

## Thanks Developer
  • lowreadme#3
    Add a section clarifying the project's license

    Why:

    COPY-PASTE FIX
    ## License

This project is licensed under the terms specified in the [LICENSE](LICENSE) file. Please refer to that file for full details on the applicable license(s).

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 MayDay-wpf/snow-cli
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot CLI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot CLI · recommended 1×
  2. Fig AI · recommended 1×
  3. OpenAI API · recommended 1×
  4. jq · recommended 1×
  5. Aider · recommended 1×
  • CATEGORY QUERY
    How can I integrate an AI coding assistant directly into my command-line workflow?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot CLI
    2. Fig AI
    3. OpenAI API
    4. jq
    5. Aider
    6. Shell-GPT
    7. Codeium CLI
    8. Cursor

    AI recommended 8 alternatives but never named MayDay-wpf/snow-cli. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI programming agents support multiple large language models like Gemini and Claude?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. AgentGPT
    5. SuperAGI
    6. CrewAI
    7. Microsoft Semantic Kernel
    8. Haystack

    AI recommended 8 alternatives but never named MayDay-wpf/snow-cli. 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 MayDay-wpf/snow-cli?
    pass
    AI named MayDay-wpf/snow-cli explicitly

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

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

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

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MayDay-wpf/snow-cli — 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