RRepoGEO

REPOGEO REPORT · LITE

yaojingang/yao-geo-skills

Default branch main · commit fe4291dd · scanned 6/30/2026, 7:59:49 PM

GitHub: 573 stars · 106 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 yaojingang/yao-geo-skills, 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's core definition of 'GEO' to the very top

    Why:

    CURRENT
    # Yao GEO Skills

面向 `GEO`（`Generative Engine Optimization`）工作流的开源 Skill 仓库。
    COPY-PASTE FIX
    # Yao GEO Skills: Generative Engine Optimization (GEO) Workflows

本仓库专注于 **生成式引擎优化 (Generative Engine Optimization, GEO)** 工作流的开源 Skill 集合，而非地理信息或地图相关工具。
  • highabout#2
    Explicitly define 'GEO' in the repository description

    Why:

    CURRENT
    An open-source Skill collection for GEO content and workflows, continuously updated.
    COPY-PASTE FIX
    An open-source Skill collection for **Generative Engine Optimization (GEO)** content and workflows, continuously updated.
  • mediumtopics#3
    Refine repository topics for clarity and specificity

    Why:

    CURRENT
    ai-agent, automation, cli, codex, geoflow, skills, workflow
    COPY-PASTE FIX
    generative-engine-optimization, geo-skills, ai-agents, workflow-automation, content-optimization, ai-search-optimization, llm-ops, prompt-engineering

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 yaojingang/yao-geo-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Optuna
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Optuna · recommended 1×
  2. Ray Tune · recommended 1×
  3. Hyperopt · recommended 1×
  4. Ax · recommended 1×
  5. Nevergrad · recommended 1×
  • CATEGORY QUERY
    What open-source tools provide reusable skills for generative engine optimization workflows?
    you: not recommended
    AI recommended (in order):
    1. Optuna
    2. Ray Tune
    3. Hyperopt
    4. Ax
    5. Nevergrad

    AI recommended 5 alternatives but never named yaojingang/yao-geo-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a collection of AI agent skills to automate generative engine optimization tasks.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Auto-GPT (Significant-Gravitas/Auto-GPT)
    4. CrewAI (joaomdmoura/crewAI)
    5. OpenAI Assistants API
    6. Haystack (deepset-ai/haystack)
    7. Semantic Kernel (microsoft/semantic-kernel)

    AI recommended 7 alternatives but never named yaojingang/yao-geo-skills. 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 yaojingang/yao-geo-skills?
    pass
    AI named yaojingang/yao-geo-skills explicitly

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

  • If a team adopts yaojingang/yao-geo-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yaojingang/yao-geo-skills 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 yaojingang/yao-geo-skills solve, and who is the primary audience?
    pass
    AI named yaojingang/yao-geo-skills 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 yaojingang/yao-geo-skills. 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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MARKDOWN (README)
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yaojingang/yao-geo-skills — 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