RRepoGEO

REPOGEO REPORT · LITE

wmpeng/codingplan

Default branch main · commit 3dd5ef4e · scanned 6/17/2026, 5:27:42 AM

GitHub: 523 stars · 18 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 wmpeng/codingplan, 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
    Add an explicit English summary to the top of the README

    Why:

    COPY-PASTE FIX
    This repository provides a comprehensive comparison and analysis of AI platform coding and token plans from major providers like ZhipuAI, Kimi, MiniMax, and Alibaba Cloud. It is a resource for evaluating AI platform offerings, not a personal coding study plan or an AI assistant.

# AI Coding Plan 对比
  • mediumtopics#2
    Expand topics to include 'comparison' and 'AI platforms'

    Why:

    CURRENT
    coding-plan, codingplan
    COPY-PASTE FIX
    coding-plan, codingplan, ai-platform-comparison, llm-pricing, ai-agent-plans, large-language-models, generative-ai
  • lowabout#3
    Refine the repository description to emphasize 'comparison and analysis report'

    Why:

    CURRENT
    国内主流 AI 平台的 Coding Plan对比，智谱、Kimi、MiniMax、阿里云百炼、字节火山方舟、百度千帆
    COPY-PASTE FIX
    国内主流 AI 平台的 Coding Plan/Token Plan 综合对比与分析报告：涵盖智谱、Kimi、MiniMax、阿里云百炼、字节火山方舟、百度千帆等

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 wmpeng/codingplan
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot · recommended 1×
  2. Cursor · recommended 1×
  3. Tabnine · recommended 1×
  4. Codeium · recommended 1×
  5. Amazon CodeWhisperer · recommended 1×
  • CATEGORY QUERY
    Which AI coding assistant offers the best value for programming tasks?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Cursor
    3. Tabnine
    4. Codeium
    5. Amazon CodeWhisperer
    6. JetBrains AI Assistant

    AI recommended 6 alternatives but never named wmpeng/codingplan. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    I need to compare token plans and coding performance across major AI development platforms.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Google Cloud Vertex AI
    3. Anthropic Claude API
    4. Microsoft Azure OpenAI Service
    5. Hugging Face Inference API/Spaces
    6. AWS Bedrock

    AI recommended 6 alternatives but never named wmpeng/codingplan. 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 wmpeng/codingplan?
    pass
    AI named wmpeng/codingplan explicitly

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

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

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

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wmpeng/codingplan — 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