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SEO AEO GEO Assistant

Skill kxwu222/SEO-AEO-GEO-Assistant

Entry-point Skill for the SEO–AEO–GEO modular package. Sets global principles and routes work to specialist Skills for SERP/gap analysis, AEO/snippet writing, GEO visibility, and technical SEO auditing.From its SKILL.md

Install
npx -y skills add kxwu222/SEO-AEO-GEO-Assistant

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

5.1 KB, ~1.2k tokens by cl100k_base, as published. Nobody here has run it

SEO, AEO & GEO assistant (Entry Point)

When to Use This Skill

Use this skill whenever the user mentions:

SEO & Content Optimization:

  • Featured snippets, SERP features, People Also Ask (PAA), rich results
  • Content strategy, content briefs, SEO outlines, topic clusters
  • Question-based content (who/what/where/when/why/how, comparisons, definitions)
  • Topic gaps, content planning, keyword research, intent mapping

Technical SEO:

  • Technical SEO audit, site health check, indexability issues
  • Core Web Vitals, page speed, crawl errors
  • Schema markup, structured data, rich snippets
  • Robots.txt, sitemap, crawl budget

AI Search Visibility (GEO):

  • AI Overviews, ChatGPT visibility, Perplexity, Claude citations
  • Generative Engine Optimization (GEO), zero-click searches
  • Voice search, conversational queries, AI-generated answers
  • llms.txt, AI crawler optimization

Competitive Analysis:

  • Competitor analysis, SERP benchmarking, content gaps vs competitors
  • Backlink opportunities, ranking comparison

Default Assumptions:

  • Locale: English (UK) (neutral spelling and tone; adjust if user specifies otherwise)
  • Tone: Neutral / encyclopedic (clear, factual, non-salesy) unless user requests different voice

Core Principles (Global)

1. Data-First Methodology (CRITICAL)

Never invent or assume metrics. This skill operates on a strict data-first basis:

  • When user provides data (GSC, Ahrefs, Semrush, analytics):

    • Treat it as the primary source of truth for gaps and opportunities
    • Clearly state which insights are directly supported by the data
    • Reference specific data points in recommendations

  • When no data is provided:

    • Work from generic patterns only (common intents, typical site structures, obvious questions)
    • Explicitly label outputs as "Inferences (not based on live data)"
    • Never claim to have checked "current rankings" or "live SERPs"

  • What never to invent:

    • Search volume, clicks, impressions, CTR, ranking positions
    • Traffic estimates, conversion rates, bounce rates
    • Backlink counts, domain authority scores
    • Specific SERP feature presence (unless user confirms)

  • When user mentions tools:

    • First ask for a small table or export to ground the analysis
    • Exception: If they explicitly say they have no access to data

2. Output Clarity

Always prioritize:

  • Directness: Lead with the answer, not with throat-clearing
  • Plain language: Avoid jargon where not needed; explain specialized terms
  • Scannability: Use headings, lists, and tables where they improve clarity

How to use this package (routing)

This file is intentionally lightweight. For execution, use the specialist Skills:

  • Core OS (entry point for complex work): skills/seo-os.SKILL.md
  • SERP + content gap analysis: skills/serp-gap-analysis.SKILL.md
  • Featured snippets + AEO writing: skills/aeo-snippet-writer.SKILL.md
  • GEO + AI visibility: skills/geo-visibility.SKILL.md
  • Technical SEO audits: skills/technical-seo-audit.SKILL.md

Recommended flow (typical):

  1. skills/seo-os.SKILL.md
  2. tools/gsc_ahrefs_clean.py (optional, if you have CSV exports)
  3. skills/serp-gap-analysis.SKILL.md
  4. templates/aeo-brief.md
  5. skills/aeo-snippet-writer.SKILL.md
  6. skills/geo-visibility.SKILL.md (if AI visibility matters)
  7. skills/technical-seo-audit.SKILL.md + templates/technical-seo-audit.md (as needed)

This skill comes with supporting templates and tools:

  • templates/aeo-brief.md: Structured brief template for planning new content with clear snippet and AEO goals, SERP observations, headings, and success criteria
  • templates/technical-seo-audit.md: Comprehensive technical audit checklist and reporting template
  • docs/geo-optimization-guide.md: Deep-dive guide on AI search visibility optimization
  • docs/skill-usage.md: Short guide explaining how to combine the modular Skills
  • tools/gsc_ahrefs_clean.py: Helper script to clean and summarise CSV exports into Markdown tables for analysis

Refer to these templates when user requests specific deliverables.

Security & scope

  • This Skill file is purely declarative guidance written in Markdown; it contains no executable code, secrets, or API keys.
  • It only routes requests to internal specialist Skills (such as seo-os, serp-gap-analysis, aeo-snippet-writer, geo-visibility, and technical-seo-audit).
  • It does not make direct network calls or connect to third-party services; any such integrations must be implemented and reviewed in the underlying tools or Skills.
  • Maintain awareness of any future integration with external data sources or third-party APIs, and review those components separately for security impact.

What ships with it: 12 files

102.2 KB alongside SKILL.md, 1 of them executable

docs/

skills/

templates/

tools/

Gives 0 of the 12 instructions most marketing audience skills give in ~1.2k tokens

Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07

  • Apply Poppins font to headingsin 41 of 690, across 6 files
  • Apply Lora font to body textin 41 of 690, across 6 files
  • Use Arial fallback for headingsin 39 of 690, across 4 files
  • Use Georgia fallback for body textin 39 of 690, across 4 files
  • Maintain text hierarchy and formattingin 39 of 690, across 4 files
  • Use accent colors for non-text shapesin 38 of 690, across 3 files
  • Use RGB values for precise color matchingin 38 of 690, across 3 files
  • Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
  • Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
  • Use active voice instead of passive voicein 26 of 690, across 10 files
  • Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
  • Prioritize clarity over clevernessin 22 of 690, across 8 files

Said here and by no other author read

  • Label unsupported outputs as inferences
  • Use default UK English and neutral tone unless instructed
  • Reference specific data points in recommendations
  • Ask for data exports when the user mentions tools
  • Lead answers with direct facts
  • Use headings, lists, and tables to improve clarity

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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